{"meta":{"query_hash":"55311bbd6083","filters":{"venue":"Proceedings of the ... ISARC"},"cohort_total":151,"direct_labels_cover":0,"predictions_cover":151,"exported":151,"export_cap":100000,"truncated":false,"label_status":"direct model label, unvalidated","prediction_status":"machine_predicted_unvalidated (Codex and Gemma teacher distillation)","score_status":"score_only:v0-immature-baseline","snapshot":{"source":"OpenAlex, pinned release, all 482 partitions","release":"2026-06-24","frame_built":"2026-07-12"},"permalink":"https://metacan.xera.ac/q/55311bbd6083","api":"https://metacan.xera.ac/api/v1/cohort?venue=Proceedings+of+the+...+ISARC"},"results":[{"id":"W106747897","doi":"10.22260/isarc2011/0129","title":"The Use of Earned Value in Forcasting Project Durations","year":2011,"lang":"en","type":"article","venue":"Proceedings of the ... ISARC","topic":"Advanced Database Systems and Queries","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"","keywords":"Earned value management; Baseline (sea); Computer science; Schedule; Download; Operations research; Software; Duration (music); Industrial engineering; Project management; Systems engineering; Project planning; Engineering; World Wide Web; Operating system","score_opus":0.12248274890562486,"score_gpt":0.25859423741837934,"score_spread":0.13611148851275448,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W106747897","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.023212427,0.00079961796,0.9707863,0.00023602783,0.00016161532,0.000051858522,0.0003335216,0.00030645312,0.0041122157],"genre_scores_gemma":[0.65333194,0.0009995099,0.342043,0.00008072959,0.00018128299,0.00012317354,0.0005908063,0.00011659758,0.0025329357],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9978695,0.0008081809,0.00017443243,0.00039411528,0.00066787883,0.00008582341],"domain_scores_gemma":[0.9924233,0.0047445185,0.0009876043,0.00075916457,0.0009291739,0.00015614182],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00437488,0.00066602055,0.0009228469,0.0019063215,0.0003136003,0.001960187,0.0014546418,0.0006589624,0.001323027],"category_scores_gemma":[0.023274776,0.0002998944,0.00045162346,0.0022042843,0.0004941047,0.0027969743,0.000972323,0.0012619314,0.00037467972],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00020603092,0.00005849401,0.015201497,0.00032341486,0.00012727744,0.00010043788,0.000283949,0.38980204,0.002276824,0.052315097,0.002274935,0.5370299],"study_design_scores_gemma":[0.000021572225,0.00012730411,0.0041828626,0.00014766873,0.000031572938,0.00012772731,0.00009733239,0.9566965,0.002283882,0.02758122,0.008642199,0.00006008393],"about_ca_topic_score_codex":0.005092865,"about_ca_topic_score_gemma":0.004652402,"teacher_disagreement_score":0.005092865,"about_ca_system_score_codex":0.0010696572,"about_ca_system_score_gemma":0.000999298,"threshold_uncertainty_score":0.023136854},"labels":[],"label_agreement":null},{"id":"W116373001","doi":"10.22260/isarc2013/0157","title":"Automated Measuring and Tracking the Deformations of Concentrically Braced Frames","year":2013,"lang":"en","type":"article","venue":"Proceedings of the ... ISARC","topic":"Digital Image Processing Techniques","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"","keywords":"Deformation (meteorology); Computer science; Tracking (education); Automation; Reliability (semiconductor); Measure (data warehouse); Frame (networking); Artificial intelligence; Topology (electrical circuits); Structural engineering; Mechanical engineering; Engineering; Data mining; Physics; Electrical engineering","score_opus":0.016386422677017874,"score_gpt":0.22897324652791964,"score_spread":0.21258682385090177,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W116373001","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.26995686,0.00024017041,0.7262095,0.00004877846,0.0000565969,0.00010354386,0.00014338222,0.0012930233,0.001948118],"genre_scores_gemma":[0.66167617,0.00023949135,0.3365257,0.000022637585,0.000023982378,0.000070536415,0.00019300592,0.00007505255,0.0011733522],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9993642,0.00006846495,0.000026317268,0.00018755684,0.00029121104,0.00006235208],"domain_scores_gemma":[0.99909365,0.00016914918,0.00023666443,0.00021350959,0.00025317393,0.000033786244],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004597536,0.000715676,0.0005221255,0.0015883241,0.00026823874,0.0005062828,0.0007539942,0.0005996628,0.0006392033],"category_scores_gemma":[0.001297119,0.00029918275,0.00022565697,0.0011258797,0.00044852035,0.0005766524,0.00048092508,0.00037076834,0.00041619502],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00026723306,0.00009828199,0.0070846495,0.0001411508,0.000038605962,0.0002170631,0.00029388923,0.019734856,0.57470423,0.0013635887,0.0008910886,0.3951653],"study_design_scores_gemma":[0.000031109397,0.0003816268,0.0531125,0.000033860968,0.00006141406,0.0010383693,0.0001773862,0.48259938,0.45698744,0.0012254581,0.004241895,0.00010956534],"about_ca_topic_score_codex":0.0013416384,"about_ca_topic_score_gemma":0.00211948,"teacher_disagreement_score":0.0015883241,"about_ca_system_score_codex":0.00031325725,"about_ca_system_score_gemma":0.0004961317,"threshold_uncertainty_score":0.0026676655},"labels":[],"label_agreement":null},{"id":"W120103527","doi":"10.22260/isarc2013/0136","title":"Development of BIM based rehabilitation and maintenance process for roads","year":2013,"lang":"en","type":"article","venue":"Proceedings of the ... ISARC","topic":"BIM and Construction Integration","field":"Engineering","cited_by":11,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Process (computing); Building information modeling; Computer science; Automation; Work (physics); Download; Control (management); Systems engineering; Construction engineering; Manufacturing engineering; Engineering; Artificial intelligence; Mechanical engineering; Operations management; World Wide Web; Operating system","score_opus":0.008186448416831249,"score_gpt":0.2073115852023902,"score_spread":0.19912513678555896,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W120103527","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.029883862,0.00018635903,0.9546262,0.0001503735,0.000052197367,0.0005181445,0.00037772954,0.004877006,0.0093281455],"genre_scores_gemma":[0.21648857,0.00032355287,0.77523696,0.000056834106,0.000020458485,0.0003907239,0.0013759813,0.00037293005,0.005734062],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9982456,0.00022734514,0.00010384645,0.00021161816,0.0011012108,0.00011037204],"domain_scores_gemma":[0.99915886,0.00013057386,0.000060619142,0.00020237565,0.00039429817,0.000053273416],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001329636,0.000624392,0.0005174803,0.0018926744,0.0006159437,0.0015083868,0.0011312228,0.00069152936,0.005268674],"category_scores_gemma":[0.0018119436,0.0004969884,0.0010313134,0.00093577575,0.00033786974,0.0014042171,0.0016723609,0.0006973772,0.0023569176],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00021062938,0.0005946582,0.005372287,0.0006077462,0.000057688627,0.00071023696,0.0013719955,0.120327726,0.09003928,0.015679717,0.0094812615,0.7555468],"study_design_scores_gemma":[0.000072988005,0.0004339477,0.009710305,0.00020595567,0.000103954844,0.0011078622,0.00095140527,0.7290739,0.14503741,0.009531527,0.10361245,0.0001583803],"about_ca_topic_score_codex":0.0021459472,"about_ca_topic_score_gemma":0.0015879234,"teacher_disagreement_score":0.005268674,"about_ca_system_score_codex":0.00046851227,"about_ca_system_score_gemma":0.0017885581,"threshold_uncertainty_score":0.017625451},"labels":[],"label_agreement":null},{"id":"W124817797","doi":"10.22260/isarc2013/0029","title":"Bayesian Classifier with K-Nearest Neighbor Density Estimation for Slope Collapse Prediction","year":2013,"lang":"en","type":"article","venue":"Proceedings of the ... ISARC","topic":"Landslides and related hazards","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"k-nearest neighbors algorithm; Computer science; Artificial intelligence; Classifier (UML); Inference; Bayesian probability; Probabilistic logic; Margin (machine learning); Machine learning; Data mining; Point estimation; Bayesian inference; Mathematics; Statistics","score_opus":0.005945532462357888,"score_gpt":0.18843665099914628,"score_spread":0.1824911185367884,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W124817797","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.031788576,0.0010701735,0.9630975,0.00031565435,0.00012704013,0.00016473833,0.00031228943,0.0008072826,0.0023167357],"genre_scores_gemma":[0.79290634,0.0010381828,0.19988601,0.000275141,0.00030133993,0.0003954059,0.0015582652,0.000084874526,0.0035543982],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9978648,0.0005240242,0.00018562908,0.00047892088,0.0007586855,0.00018788225],"domain_scores_gemma":[0.9967272,0.0015736454,0.00025567802,0.00023148577,0.0011112923,0.00010066677],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0021385257,0.0009097652,0.0019972096,0.0023227977,0.00075928774,0.0012137595,0.002214698,0.0017847387,0.0020703794],"category_scores_gemma":[0.008197546,0.0005496643,0.0014261262,0.00174916,0.00043689713,0.0017163483,0.00091426907,0.0019453446,0.0013322859],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00036933902,0.00044179903,0.015898852,0.00023520282,0.00020062621,0.00015834224,0.00015301387,0.42098972,0.002913878,0.0052831187,0.007922724,0.54543334],"study_design_scores_gemma":[0.00000483968,0.000019686186,0.0006684914,0.000011802856,0.00001263692,0.000024455385,0.0000136944245,0.99714774,0.00034675092,0.0014020877,0.00033781293,0.000009952032],"about_ca_topic_score_codex":0.017809251,"about_ca_topic_score_gemma":0.010881841,"teacher_disagreement_score":0.017809251,"about_ca_system_score_codex":0.0010151418,"about_ca_system_score_gemma":0.0013464463,"threshold_uncertainty_score":0.03541118},"labels":[],"label_agreement":null},{"id":"W125205238","doi":"10.22260/isarc2013/0083","title":"Determining of Drivetrain System Skid Steer 6x6 Wheeled Robot Load","year":2013,"lang":"en","type":"article","venue":"Proceedings of the ... ISARC","topic":"Engine and Fuel Emissions","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Skid (aerodynamics); Drivetrain; Automotive engineering; Engineering; Robot; Mobile robot; Obstacle avoidance; Hydraulic machinery; Torque; Computer science; Mechanical engineering; Artificial intelligence","score_opus":0.0051733749024647675,"score_gpt":0.16621735352996128,"score_spread":0.1610439786274965,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W125205238","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.95485246,0.00005764702,0.03806209,0.000036357003,0.000019189274,0.00012974738,0.0006940768,0.000733201,0.005415207],"genre_scores_gemma":[0.9956424,0.000018942348,0.002485692,0.000003939028,0.0000012402847,0.000027079528,0.00050219666,0.00002803088,0.0012905566],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99970967,0.00002614674,0.000016563896,0.000039874987,0.00016273021,0.00004508571],"domain_scores_gemma":[0.99960643,0.0000856716,0.0000451288,0.000036341466,0.00020013613,0.000026261063],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00021062222,0.00042645738,0.00024801932,0.0010336511,0.00033215052,0.000347669,0.0003771806,0.0002399569,0.006554533],"category_scores_gemma":[0.00096139696,0.00018276088,0.00022568667,0.00024421953,0.00014281127,0.0002912856,0.00037520085,0.00018698818,0.0018084799],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0026939109,0.0004118383,0.0957675,0.0012891013,0.00016270876,0.0009131953,0.00088313554,0.17794137,0.46945652,0.0010158597,0.00384382,0.24562095],"study_design_scores_gemma":[0.000120604294,0.0022040396,0.21075724,0.00006112662,0.000083772145,0.00048460418,0.00075862015,0.41248992,0.3646324,0.00049019593,0.00782069,0.000096671036],"about_ca_topic_score_codex":0.0042062225,"about_ca_topic_score_gemma":0.0042285807,"teacher_disagreement_score":0.006554533,"about_ca_system_score_codex":0.00028902278,"about_ca_system_score_gemma":0.0002750092,"threshold_uncertainty_score":0.021927118},"labels":[],"label_agreement":null},{"id":"W132351426","doi":"10.22260/isarc2013/0067","title":"Experimental Study for Efficient Use of RFID in Construction","year":2013,"lang":"en","type":"article","venue":"Proceedings of the ... ISARC","topic":"Indoor and Outdoor Localization Technologies","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Concordia University","funders":"","keywords":"Computer science","score_opus":0.01601635894995589,"score_gpt":0.21999912643756017,"score_spread":0.20398276748760427,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W132351426","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9837272,0.0000659587,0.013827984,0.000045752353,0.00003441969,0.00064786756,0.00017526397,0.000082450584,0.001393099],"genre_scores_gemma":[0.9703208,0.00017256642,0.024458244,0.000060549715,0.000019352907,0.0014496794,0.00035330144,0.0000266504,0.00313889],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9982108,0.00060028274,0.00016607033,0.0002920833,0.00050554203,0.00022525893],"domain_scores_gemma":[0.9955727,0.00192971,0.0005453761,0.0007410736,0.00096849276,0.00024271087],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0017218015,0.0006090254,0.00043580378,0.0004945676,0.0004824879,0.00050162757,0.0010367587,0.00081166637,0.003314536],"category_scores_gemma":[0.002887576,0.00038332466,0.00052781263,0.00045898772,0.00069802516,0.0005757904,0.000828854,0.00063428294,0.00061959616],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.008220327,0.027813016,0.050147753,0.002428644,0.000209684,0.0018160637,0.004629048,0.020934794,0.772245,0.0033535848,0.0021796525,0.10602241],"study_design_scores_gemma":[0.000715993,0.13218446,0.11120929,0.0002604753,0.00040031542,0.001230055,0.006952576,0.028201308,0.6966003,0.0014850722,0.020538628,0.00022146016],"about_ca_topic_score_codex":0.0003893495,"about_ca_topic_score_gemma":0.0006174357,"teacher_disagreement_score":0.003314536,"about_ca_system_score_codex":0.00037042334,"about_ca_system_score_gemma":0.00050260563,"threshold_uncertainty_score":0.011088192},"labels":[],"label_agreement":null},{"id":"W13522971","doi":"10.22260/isarc2013/0143","title":"Design of Teach Pendant for Robot Glazing System","year":2013,"lang":"en","type":"article","venue":"Proceedings of the ... ISARC","topic":"Innovations in Concrete and Construction Materials","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Glazing; Robot; Engineering; Computer science; Simulation; Architectural engineering; Artificial intelligence; Civil engineering","score_opus":0.0159361976105848,"score_gpt":0.20272188196088511,"score_spread":0.18678568435030032,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W13522971","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.071058564,0.00033117516,0.90941614,0.00019768582,0.00014455215,0.0011387323,0.00022224826,0.0041887946,0.013302203],"genre_scores_gemma":[0.5425434,0.0002870392,0.43917054,0.00011441965,0.000030383693,0.0009306432,0.00039157146,0.00026734296,0.016264623],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9995123,0.00009199775,0.000034204444,0.000111933965,0.0001930349,0.000056558885],"domain_scores_gemma":[0.9996929,0.000051482057,0.00004243207,0.000031373016,0.00015191798,0.000029849338],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005042283,0.00075042015,0.0004663408,0.00048959523,0.0004051159,0.00053465593,0.0010696688,0.0007115039,0.0072231553],"category_scores_gemma":[0.00051829877,0.00039146532,0.0004059788,0.00013766972,0.00024147464,0.00035835788,0.00034704708,0.00030184034,0.0016538862],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00074620516,0.00035185617,0.0047762915,0.002000634,0.00010004535,0.0015593263,0.0010991758,0.078217596,0.6228497,0.00795286,0.008480502,0.2718658],"study_design_scores_gemma":[0.00046455782,0.004757349,0.015925739,0.00020572414,0.00030098466,0.002483301,0.00066788495,0.4498497,0.34141856,0.0018642806,0.18186428,0.00019765372],"about_ca_topic_score_codex":0.0014550213,"about_ca_topic_score_gemma":0.0016877828,"teacher_disagreement_score":0.0072231553,"about_ca_system_score_codex":0.00033809335,"about_ca_system_score_gemma":0.00075729686,"threshold_uncertainty_score":0.024163902},"labels":[],"label_agreement":null},{"id":"W138138192","doi":"10.22260/isarc2013/0014","title":"Improving Construction Environmental Metrics through Integration of Discrete Event Simulation and Life Cycle Analysis","year":2013,"lang":"en","type":"article","venue":"Proceedings of the ... ISARC","topic":"BIM and Construction Integration","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Event (particle physics); Computer science; Environmental science; Econometrics; Risk analysis (engineering); Mathematics; Business","score_opus":0.007024748712267992,"score_gpt":0.206692774224128,"score_spread":0.19966802551186,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W138138192","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.037019644,0.00039055775,0.9554689,0.00020099494,0.00004616645,0.00022164566,0.00018682993,0.0013749463,0.0050903326],"genre_scores_gemma":[0.48408246,0.00072092586,0.51285255,0.000038272985,0.000023083356,0.0003570896,0.0006740097,0.00025955986,0.0009920661],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99694246,0.001258769,0.00022042808,0.00021915804,0.0012475697,0.00011158347],"domain_scores_gemma":[0.99565035,0.0021495402,0.00046150535,0.00054601865,0.0010667051,0.00012591456],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0034245343,0.0013097847,0.00090883556,0.0030641959,0.00029444185,0.0022838567,0.0010469211,0.00061476306,0.0014965151],"category_scores_gemma":[0.0071846563,0.00057454925,0.0012452708,0.0021633995,0.0004714819,0.0020220408,0.0015944875,0.0009533251,0.00033595684],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000044402845,0.00014884972,0.0035404633,0.00011928358,0.0000893397,0.000038042697,0.00007655058,0.9196248,0.002986662,0.006074769,0.00044505464,0.06681174],"study_design_scores_gemma":[0.0000068540508,0.000039313116,0.00068515126,0.000023741346,0.000018908875,0.000011437257,0.000024254017,0.9933789,0.0015746558,0.0024935259,0.0017264145,0.000016880584],"about_ca_topic_score_codex":0.008204717,"about_ca_topic_score_gemma":0.0065200464,"teacher_disagreement_score":0.008204717,"about_ca_system_score_codex":0.0016725209,"about_ca_system_score_gemma":0.0017550413,"threshold_uncertainty_score":0.01811093},"labels":[],"label_agreement":null},{"id":"W1456821793","doi":"10.22260/isarc2013/0163","title":"Risk Identification Expert System for Metro Construction Based on BIM","year":2013,"lang":"en","type":"article","venue":"Proceedings of the ... ISARC","topic":"BIM and Construction Integration","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Identification (biology); Knowledge base; Expert system; Tacit knowledge; Domain (mathematical analysis); Computer science; Risk analysis (engineering); Engineering; Building information modeling; Risk management; Knowledge extraction; Bridge (graph theory); Knowledge management; Data mining; Artificial intelligence; Operations management","score_opus":0.007213105801386763,"score_gpt":0.19407494790739896,"score_spread":0.1868618421060122,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1456821793","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.03668017,0.00021669126,0.9335202,0.00017827224,0.000035014145,0.00046785144,0.0006632495,0.020964222,0.0072743082],"genre_scores_gemma":[0.2905894,0.0003463951,0.6989095,0.00013006254,0.000031904612,0.0005916029,0.0024703152,0.00039069197,0.006540012],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9989102,0.00021457543,0.00014688291,0.0002620742,0.0004029162,0.00006340091],"domain_scores_gemma":[0.9988851,0.00040172873,0.000082893275,0.0001841214,0.00038607008,0.00006018416],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0017171074,0.00086346595,0.0010402447,0.0018826833,0.00058286334,0.0012593931,0.0014098281,0.0009265265,0.00678503],"category_scores_gemma":[0.0028936039,0.0005759304,0.0008266904,0.00080487586,0.00023881889,0.0014325264,0.0016656949,0.00069284963,0.0021060992],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00066182076,0.00081636634,0.007969071,0.00085232453,0.00026967438,0.0019714988,0.0022252935,0.11709933,0.079960704,0.00800163,0.019178154,0.7609942],"study_design_scores_gemma":[0.00016479193,0.000111690264,0.0037590158,0.00013547932,0.00019703986,0.00067157985,0.00045688136,0.93877816,0.023953507,0.005652676,0.026021725,0.00009756646],"about_ca_topic_score_codex":0.00241337,"about_ca_topic_score_gemma":0.0025412247,"teacher_disagreement_score":0.00678503,"about_ca_system_score_codex":0.0005104209,"about_ca_system_score_gemma":0.0011966258,"threshold_uncertainty_score":0.022698224},"labels":[],"label_agreement":null},{"id":"W1498593681","doi":"10.22260/isarc2013/0094","title":"Experimental Study of Tele-Operation Devices for the Remote Handling System in a Pyroprocessing Facility","year":2013,"lang":"en","type":"article","venue":"Proceedings of the ... ISARC","topic":"Molten salt chemistry and electrochemical processes","field":"Chemical Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Hot cell; Range (aeronautics); Remote operation; Computer science; Operating system; Master/slave; Download; Embedded system; Simulation; Engineering; Telecommunications; Aerospace engineering","score_opus":0.019633876633036684,"score_gpt":0.25502342948900797,"score_spread":0.2353895528559713,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1498593681","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9894984,0.00006993879,0.00885732,0.000029312563,0.000030918458,0.00010258603,0.00010221669,0.00012249556,0.001186795],"genre_scores_gemma":[0.99431014,0.00004647676,0.0036315464,0.000016167643,0.0000076548085,0.00008011723,0.00007732713,0.00001646983,0.0018141575],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9994562,0.000081663355,0.00003693198,0.00012012703,0.00021101377,0.00009404891],"domain_scores_gemma":[0.99888164,0.0003074114,0.00016006318,0.00021527724,0.00031660302,0.00011906995],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00048745476,0.0004007154,0.00034536165,0.0004480377,0.0004722504,0.00027006713,0.00084307,0.00065310026,0.004698339],"category_scores_gemma":[0.00085375726,0.00021787197,0.0003344689,0.00029206288,0.0004355614,0.0005593408,0.000485367,0.00039538988,0.0005548053],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0015565375,0.0006373151,0.0037277786,0.0003903816,0.000022080923,0.00032818518,0.0006945467,0.0023543967,0.9696549,0.0004192895,0.00040294693,0.01981156],"study_design_scores_gemma":[0.0002024048,0.01634071,0.04628881,0.000058302638,0.00009491129,0.00048325537,0.00086461153,0.01578327,0.9153525,0.00019158387,0.0042644185,0.00007513415],"about_ca_topic_score_codex":0.00032355185,"about_ca_topic_score_gemma":0.00031846375,"teacher_disagreement_score":0.004698339,"about_ca_system_score_codex":0.00020017562,"about_ca_system_score_gemma":0.00026198718,"threshold_uncertainty_score":0.015717506},"labels":[],"label_agreement":null},{"id":"W150262072","doi":"10.22260/isarc2013/0057","title":"A Human Body Posture Sensor for Monitoring and Diagnosing MSD Risk Factors","year":2013,"lang":"en","type":"article","venue":"Proceedings of the ... ISARC","topic":"Occupational Health and Safety Research","field":"Health Professions","cited_by":14,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Elbow; Exoskeleton; Accelerometer; Engineering; Hinge; Computer science; Simulation; Computer vision; Structural engineering; Medicine","score_opus":0.06540375971472602,"score_gpt":0.428219353009265,"score_spread":0.362815593294539,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W150262072","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.2797837,0.010884069,0.6814488,0.00096439687,0.0013734177,0.0003623845,0.0017528267,0.0040240227,0.019406434],"genre_scores_gemma":[0.8598833,0.0024433858,0.1253005,0.00045834002,0.00026895,0.00017440447,0.00060481846,0.000053386215,0.010812869],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99969673,0.000053195556,0.000014150668,0.00007157979,0.00014559919,0.000018655099],"domain_scores_gemma":[0.9998287,0.000041272477,0.00002057957,0.000014940205,0.00007900813,0.000015457574],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00026315628,0.00040452718,0.00040539267,0.00054116064,0.00016386843,0.00039585753,0.00034526258,0.00082003407,0.0026099093],"category_scores_gemma":[0.00047713675,0.00017592196,0.00020851337,0.0003368142,0.00013503114,0.00032968595,0.00042646454,0.00025253874,0.0012880204],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005948074,0.00028591708,0.014889475,0.0005044881,0.000090154994,0.0003528294,0.00016207423,0.0026295318,0.40671685,0.00075966684,0.009527879,0.56348634],"study_design_scores_gemma":[0.0004130959,0.0050543747,0.21098763,0.0005448222,0.0005454283,0.0075975764,0.00045209492,0.3288172,0.3767929,0.002703805,0.06576222,0.0003289211],"about_ca_topic_score_codex":0.0006648147,"about_ca_topic_score_gemma":0.001034551,"teacher_disagreement_score":0.0026099093,"about_ca_system_score_codex":0.00013586937,"about_ca_system_score_gemma":0.00021170604,"threshold_uncertainty_score":0.008731008},"labels":[],"label_agreement":null},{"id":"W1544954983","doi":"10.22260/isarc2011/0167","title":"Trending and Forecasting in Construction Operations","year":2011,"lang":"en","type":"article","venue":"Proceedings of the ... ISARC","topic":"Manufacturing Process and Optimization","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Concordia University","funders":"","keywords":"Procurement; Visualization; Visual Basic for Applications; Computer science; Process (computing); Software; Control (management); Field (mathematics); Engineering management; Project management; Construction management; Unified Modeling Language; Systems engineering; Software engineering; Operations research; Industrial engineering; Engineering; Civil engineering; Data mining; Artificial intelligence","score_opus":0.024928049107289248,"score_gpt":0.18389733798150082,"score_spread":0.15896928887421158,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1544954983","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5262248,0.00083040784,0.46331963,0.00052269635,0.00008109298,0.00008615918,0.0010197139,0.00074509653,0.0071704695],"genre_scores_gemma":[0.97259176,0.00066077465,0.024719195,0.000013994643,0.000023044831,0.000037365095,0.0004936484,0.00005053762,0.0014096734],"study_design_codex":"simulation_or_modeling","study_design_gemma":"not_applicable","domain_scores_codex":[0.99936944,0.00015291246,0.00004489945,0.00013987771,0.00022863576,0.00006425854],"domain_scores_gemma":[0.9985421,0.00082758034,0.0002913258,0.00008666898,0.00022096837,0.00003149173],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001295021,0.00056021183,0.00042166273,0.0016237004,0.00028557947,0.001057894,0.0005856806,0.0006915922,0.0011217422],"category_scores_gemma":[0.0050264676,0.0002953049,0.000460171,0.0024827349,0.00038708773,0.0014473068,0.00034971655,0.0006369113,0.00024436697],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007117185,0.00003959433,0.01900915,0.000050331608,0.000025556783,0.0000888246,0.00013991648,0.91931945,0.0010086261,0.005090934,0.0005974493,0.054558937],"study_design_scores_gemma":[0.00000226139,0.000023944622,0.006106435,0.000009447878,0.000008968826,0.000019158675,0.00006748795,0.99036497,0.00040131967,0.002149713,0.0008350444,0.000011170509],"about_ca_topic_score_codex":0.031516217,"about_ca_topic_score_gemma":0.018653816,"teacher_disagreement_score":0.031516217,"about_ca_system_score_codex":0.00097314874,"about_ca_system_score_gemma":0.0005374052,"threshold_uncertainty_score":0.06266558},"labels":[],"label_agreement":null},{"id":"W156033958","doi":"10.22260/isarc2013/0033","title":"Self-Localization System for Robots Using Random Dot Floor Patterns","year":2013,"lang":"en","type":"article","venue":"Proceedings of the ... ISARC","topic":"Robotics and Sensor-Based Localization","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Robot; Position (finance); Artificial intelligence; Computer science; Construct (python library); Matching (statistics); Computer vision; Space (punctuation); Mathematics","score_opus":0.010606813533911416,"score_gpt":0.19561809718095055,"score_spread":0.18501128364703914,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W156033958","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.14173341,0.00012623545,0.85223985,0.00008166028,0.000059248763,0.000096667696,0.000053333475,0.0033710464,0.002238564],"genre_scores_gemma":[0.75791943,0.00007206903,0.23814791,0.00005929232,0.000012303387,0.00010818245,0.00012576905,0.0000773522,0.0034778009],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99961483,0.00005817803,0.000025266141,0.00009112851,0.00017216108,0.000038344864],"domain_scores_gemma":[0.9993513,0.00011361928,0.00010204571,0.00013959027,0.0002392073,0.00005417907],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00037160964,0.00038131553,0.0004729879,0.00065020646,0.00028313653,0.00042375407,0.0007610346,0.00044183125,0.0022039027],"category_scores_gemma":[0.0009555679,0.00020347083,0.00026726053,0.0006074729,0.00029924893,0.00068708195,0.000776875,0.0002367779,0.0007169771],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00073727936,0.00031416642,0.0056732595,0.00021707335,0.00009525543,0.00042790387,0.00060477137,0.05995536,0.4271638,0.0069935448,0.0037669064,0.49405062],"study_design_scores_gemma":[0.00010015786,0.0007622411,0.0057924073,0.000024788375,0.000053682936,0.0005749103,0.00015633751,0.7915581,0.18895325,0.0019151082,0.01004127,0.00006777524],"about_ca_topic_score_codex":0.0011059727,"about_ca_topic_score_gemma":0.0007295544,"teacher_disagreement_score":0.0022039027,"about_ca_system_score_codex":0.00035410147,"about_ca_system_score_gemma":0.00035472386,"threshold_uncertainty_score":0.0073727965},"labels":[],"label_agreement":null},{"id":"W157466560","doi":"10.22260/isarc2013/0076","title":"Integration of Uncertain Real-Time Logistics Data for Reactive Scheduling Using Fuzzy Set Theory","year":2013,"lang":"en","type":"article","venue":"Proceedings of the ... ISARC","topic":"BIM and Construction Integration","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Computer science; Scheduling (production processes); Schedule; Fuzzy logic; Fuzzy set; Operations research; Discrete event simulation; Uncertain data; Real-time computing; Data mining; Industrial engineering; Mathematical optimization; Simulation; Artificial intelligence; Engineering; Mathematics","score_opus":0.04999149121253673,"score_gpt":0.27481812433806907,"score_spread":0.22482663312553233,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W157466560","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00996301,0.00010743209,0.98880345,0.00004239944,0.000025564077,0.000045104924,0.000028350929,0.00008079502,0.0009038798],"genre_scores_gemma":[0.72884244,0.00040403486,0.26937237,0.000041684198,0.000052976437,0.00025242692,0.00025476376,0.00004834935,0.00073088834],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99855095,0.0004133874,0.0001135742,0.00014512597,0.00069801114,0.000078938094],"domain_scores_gemma":[0.9983133,0.0009183955,0.00024800768,0.00009301379,0.00036560264,0.00006166227],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0021988812,0.0007996034,0.00084389583,0.0013337854,0.0004404822,0.001809509,0.0009741845,0.0005143336,0.0009737154],"category_scores_gemma":[0.0037839208,0.00044739048,0.0014402288,0.0013223409,0.00051763054,0.001208765,0.0007406556,0.0009362025,0.00018775625],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006214033,0.000045578836,0.00054108066,0.00006425048,0.000047158464,0.00005393242,0.00007302137,0.9656858,0.0024217002,0.007769346,0.00020889286,0.02302718],"study_design_scores_gemma":[0.00000310524,0.000017818676,0.00009722236,0.0000073132933,0.000008170778,0.0000050337067,0.000009394343,0.99752575,0.00051675714,0.0015827884,0.0002212337,0.0000055177743],"about_ca_topic_score_codex":0.005997535,"about_ca_topic_score_gemma":0.0036552988,"teacher_disagreement_score":0.005997535,"about_ca_system_score_codex":0.001462055,"about_ca_system_score_gemma":0.0014807147,"threshold_uncertainty_score":0.01192528},"labels":[],"label_agreement":null},{"id":"W163566348","doi":"10.22260/isarc2013/0133","title":"Application of Ultra-Wide Band (UWB) Radar in Detecting Unexpected Utility Lines in Open Cut Operations","year":2013,"lang":"en","type":"article","venue":"Proceedings of the ... ISARC","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Ground-penetrating radar; Radar; Computer science; Flooding (psychology); Engineering; Telecommunications","score_opus":0.016188917527099073,"score_gpt":0.2598761302537841,"score_spread":0.243687212726685,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W163566348","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.30399376,0.05482782,0.6012532,0.00066358305,0.0005318632,0.0002512327,0.00021078602,0.0009932837,0.037274454],"genre_scores_gemma":[0.78859216,0.026340134,0.17352033,0.00025023762,0.0001495178,0.000048081558,0.00020576725,0.00004425976,0.010849554],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9996438,0.000102324695,0.000015941165,0.00007617648,0.00013701218,0.000024652187],"domain_scores_gemma":[0.9996126,0.00012570705,0.00006178894,0.000032404972,0.00015108963,0.000016311502],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00043870835,0.0003314704,0.00021280495,0.00072309544,0.00013902613,0.0005852752,0.0003655092,0.0006521593,0.00076658966],"category_scores_gemma":[0.00046068142,0.00013859662,0.00018048604,0.00062252564,0.0002667631,0.0005460021,0.00021499963,0.00026462332,0.00060140213],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00023968735,0.000109590874,0.007583707,0.0011139845,0.00005516685,0.0010475221,0.00029598144,0.004516162,0.39155927,0.0014124013,0.0024029985,0.58966357],"study_design_scores_gemma":[0.00004332776,0.002923149,0.039274573,0.00044077425,0.00034676903,0.009177768,0.0015472256,0.03890951,0.79933095,0.0027674788,0.105099544,0.00013896932],"about_ca_topic_score_codex":0.00034516666,"about_ca_topic_score_gemma":0.0006054712,"teacher_disagreement_score":0.00076658966,"about_ca_system_score_codex":0.00015514871,"about_ca_system_score_gemma":0.00015308871,"threshold_uncertainty_score":0.0025644302},"labels":[],"label_agreement":null},{"id":"W166715645","doi":"10.22260/isarc2013/0078","title":"Automated Laser Scanner 2D Positioning and Orienting by Method of Triangulateration for Underground Mine Surveying","year":2013,"lang":"en","type":"article","venue":"Proceedings of the ... ISARC","topic":"3D Surveying and Cultural Heritage","field":"Earth and Planetary Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Queen's University","funders":"","keywords":"Laser scanning; Scanner; Computer science; Computer vision; Laser; Remote sensing; Artificial intelligence; Geology; Optics; Physics","score_opus":0.014021167752395123,"score_gpt":0.2349448385260701,"score_spread":0.22092367077367497,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W166715645","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0019749831,0.0002024539,0.99494016,0.000029389004,0.000042857955,0.00004460855,0.00006706411,0.0014487118,0.0012498333],"genre_scores_gemma":[0.031382583,0.00031865068,0.9656704,0.000027536877,0.000024415547,0.000118787626,0.0003497591,0.00034717013,0.0017606677],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.998618,0.00023212405,0.000052546784,0.00019694513,0.0008393409,0.000061036306],"domain_scores_gemma":[0.9993086,0.00017332294,0.000053239753,0.00020161438,0.0002431827,0.000020137715],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00065521314,0.0007806144,0.0008477584,0.0025529733,0.0004271476,0.0008708046,0.001442473,0.0007179497,0.006744824],"category_scores_gemma":[0.0015683381,0.0005727985,0.0011235228,0.0024024188,0.00053376914,0.00073183456,0.0015247,0.0008713503,0.005017537],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000062233645,0.00003193999,0.0009139161,0.00023014982,0.000057759342,0.00012116159,0.00020393662,0.039687272,0.033767734,0.009389503,0.007990227,0.9075442],"study_design_scores_gemma":[0.000035467456,0.0001091146,0.0023665354,0.000061697036,0.000054864227,0.0008030746,0.00015315405,0.8960369,0.024328727,0.010848494,0.06509505,0.000106974956],"about_ca_topic_score_codex":0.0027592436,"about_ca_topic_score_gemma":0.0028827405,"teacher_disagreement_score":0.006744824,"about_ca_system_score_codex":0.00048200495,"about_ca_system_score_gemma":0.0010001066,"threshold_uncertainty_score":0.022563696},"labels":[],"label_agreement":null},{"id":"W171590525","doi":"10.22260/isarc2013/0009","title":"Robotic Upgrading of Postwar Social Dwelling Envelopes","year":2013,"lang":"en","type":"article","venue":"Proceedings of the ... ISARC","topic":"Innovations in Concrete and Construction Materials","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Facade; Architectural engineering; Process (computing); Computer science; Software; Automation; Building envelope; Enforcement; Task (project management); Software engineering; Construction engineering; Engineering; Civil engineering; Systems engineering; Mechanical engineering; Law","score_opus":0.009017682013847648,"score_gpt":0.1881175727114674,"score_spread":0.17909989069761975,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W171590525","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.55857676,0.0013623796,0.40689918,0.00022789264,0.00030055316,0.0003071309,0.00031219414,0.0049584396,0.02705547],"genre_scores_gemma":[0.9053639,0.00041908893,0.08244988,0.00005240533,0.00001575163,0.00006566835,0.0003406714,0.00017292696,0.011119657],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997559,0.00002936707,0.000010066475,0.00004247588,0.00009665516,0.000065579094],"domain_scores_gemma":[0.9998087,0.000028420774,0.00001585854,0.000097971715,0.000023724264,0.000025372443],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00033246825,0.0005668028,0.00039439718,0.0005410451,0.00038986118,0.0006530066,0.0007955347,0.0006006815,0.004152813],"category_scores_gemma":[0.00048714594,0.000256397,0.00064668723,0.00024259108,0.00044918654,0.0006887971,0.0020944693,0.00036617828,0.0011754726],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00048830104,0.00025588428,0.0038737338,0.00047075297,0.00008853211,0.001560064,0.0011719778,0.06826041,0.23971137,0.005715706,0.007148593,0.6712547],"study_design_scores_gemma":[0.00013453675,0.0021509412,0.03243909,0.00030581738,0.00020718921,0.0036075339,0.0020424286,0.39773658,0.32806543,0.009893186,0.22318889,0.00022839574],"about_ca_topic_score_codex":0.00082955515,"about_ca_topic_score_gemma":0.001141027,"teacher_disagreement_score":0.004152813,"about_ca_system_score_codex":0.00021068752,"about_ca_system_score_gemma":0.00025297108,"threshold_uncertainty_score":0.013892531},"labels":[],"label_agreement":null},{"id":"W174584624","doi":"10.22260/isarc2013/0124","title":"Improving Site and Materials Handling Operations through Autonomous Vehicle-Related Technologies","year":2013,"lang":"en","type":"article","venue":"Proceedings of the ... ISARC","topic":"Industrial Vision Systems and Defect Detection","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Automation; Computer science; Download; Suite; Automotive industry; Manufacturing engineering; Systems engineering; Engineering; Transport engineering; Operating system","score_opus":0.008494468632457884,"score_gpt":0.19022831420067574,"score_spread":0.18173384556821784,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W174584624","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.21123682,0.0008023954,0.7646715,0.0003688877,0.00009569684,0.00026633206,0.00020252608,0.005421975,0.01693386],"genre_scores_gemma":[0.69149035,0.0005855723,0.29559502,0.00007794091,0.000033545664,0.00010714627,0.00065024296,0.000368872,0.0110912165],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99919075,0.00009962105,0.000024549581,0.000104357074,0.0004837847,0.00009686168],"domain_scores_gemma":[0.9990528,0.00014205794,0.000099093195,0.00016007625,0.00048840407,0.00005758125],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007181324,0.0004911047,0.00033319075,0.0011407058,0.00026173552,0.0012675384,0.0010004463,0.0005791291,0.002718065],"category_scores_gemma":[0.0008055791,0.00020443281,0.00034494034,0.0006485104,0.00039027503,0.0012432223,0.00092036184,0.0004923086,0.0017226607],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00014130017,0.0004261235,0.010079392,0.00021388392,0.00004428235,0.00010760617,0.00035330115,0.029186616,0.21359164,0.004794891,0.0071384246,0.7339225],"study_design_scores_gemma":[0.000121310215,0.002731867,0.02816351,0.000102633,0.0001477222,0.0007952267,0.0009410372,0.33462712,0.47393596,0.00835095,0.14993206,0.00015054455],"about_ca_topic_score_codex":0.0018116452,"about_ca_topic_score_gemma":0.0025133875,"teacher_disagreement_score":0.002718065,"about_ca_system_score_codex":0.00048438853,"about_ca_system_score_gemma":0.0008635202,"threshold_uncertainty_score":0.009092808},"labels":[],"label_agreement":null},{"id":"W179328272","doi":"10.22260/isarc2013/0050","title":"Real-Time Simulation of Mining and Earthmoving Operations: A Level Set-Based Model for Tool-Induced Terrain Deformations","year":2013,"lang":"en","type":"article","venue":"Proceedings of the ... ISARC","topic":"Geotechnical and construction materials studies","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"CM Labs Simulations (Canada)","funders":"","keywords":"Terrain; Discretization; Computation; Computer science; Set (abstract data type); Representation (politics); Grid; Geotechnical engineering; Simulation; Geology; Algorithm; Mathematics; Geodesy; Geography; Mathematical analysis","score_opus":0.031166057989426375,"score_gpt":0.2318667755083034,"score_spread":0.20070071751887703,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W179328272","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.051658954,0.000095462405,0.9428027,0.00018662596,0.000055960292,0.000051953906,0.00012651972,0.00038194613,0.0046398165],"genre_scores_gemma":[0.85683864,0.0003098805,0.13462478,0.00011860262,0.000036509206,0.00030486655,0.00028115636,0.0001657741,0.007319795],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998222,0.000034916673,0.000010326458,0.00002774349,0.00008227763,0.000022527372],"domain_scores_gemma":[0.99972993,0.000119393684,0.000036558984,0.00003252141,0.00004985254,0.00003169065],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00027338444,0.00043240038,0.00065856404,0.00034791732,0.00036049724,0.0010887561,0.001386359,0.0013593717,0.0018329996],"category_scores_gemma":[0.0009145182,0.00038984962,0.0007714355,0.00035571115,0.00072353415,0.0008927359,0.00067950605,0.00094752153,0.00038999383],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000071557934,0.000010507357,0.00013200342,0.000007737759,0.000004222603,0.000019609464,0.000015835873,0.99473757,0.0008845441,0.0024960628,0.00008133534,0.0016034555],"study_design_scores_gemma":[0.0000012336486,0.0000025855095,0.000017338063,6.6439253e-7,6.774474e-7,0.0000025208612,0.0000011427854,0.9994711,0.00009724646,0.0002973512,0.00010686068,0.000001277034],"about_ca_topic_score_codex":0.006285582,"about_ca_topic_score_gemma":0.0030941044,"teacher_disagreement_score":0.006285582,"about_ca_system_score_codex":0.0007247087,"about_ca_system_score_gemma":0.0009379516,"threshold_uncertainty_score":0.0124979615},"labels":[],"label_agreement":null},{"id":"W179936838","doi":"10.22260/isarc2013/0089","title":"Tracking Hauling Trucks for Cut-Fill Earthmoving Operations","year":2013,"lang":"en","type":"article","venue":"Proceedings of the ... ISARC","topic":"Advanced Manufacturing and Logistics Optimization","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Concordia University","funders":"","keywords":"Truck; Tracking (education); Computer science; Automotive engineering; Engineering","score_opus":0.011284755460363432,"score_gpt":0.20517704470806894,"score_spread":0.19389228924770552,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W179936838","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.69387794,0.000776611,0.2886471,0.00018972033,0.000118779215,0.00029643902,0.0021393162,0.004354677,0.00959947],"genre_scores_gemma":[0.8948527,0.00046534595,0.09492303,0.0000289743,0.000022231305,0.000083124505,0.002458235,0.00013066125,0.007035773],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99973613,0.000017586444,0.000011840786,0.000063751766,0.00013665682,0.000033967426],"domain_scores_gemma":[0.9996743,0.000054329317,0.000074459276,0.000027406695,0.00013942302,0.000030054844],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002571035,0.00055518403,0.0003605371,0.0013708977,0.0003857612,0.0007062417,0.0005776941,0.00040691433,0.0021415672],"category_scores_gemma":[0.00048218324,0.00020684645,0.00029561136,0.0008051259,0.00010424931,0.00061370496,0.00047329435,0.00027943836,0.0014191165],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00047487905,0.00032190964,0.15889284,0.00039630054,0.0000932902,0.0004252921,0.0006680984,0.038951915,0.11547392,0.00075625366,0.009285726,0.6742596],"study_design_scores_gemma":[0.000040762076,0.0007212763,0.25990313,0.00012178469,0.00013927945,0.0005725824,0.0018503733,0.5996772,0.106993385,0.001483081,0.028377485,0.000119696546],"about_ca_topic_score_codex":0.0053604734,"about_ca_topic_score_gemma":0.012056897,"teacher_disagreement_score":0.0053604734,"about_ca_system_score_codex":0.00032690357,"about_ca_system_score_gemma":0.00042472544,"threshold_uncertainty_score":0.010658562},"labels":[],"label_agreement":null},{"id":"W189067298","doi":"10.22260/isarc2013/0118","title":"Dynamic Biomechanical Simulation for Identifying Risk Factors for Work-Related Musculoskeletal Disorders During Construction Tasks","year":2013,"lang":"en","type":"article","venue":"Proceedings of the ... ISARC","topic":"Musculoskeletal pain and rehabilitation","field":"Medicine","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Work-related musculoskeletal disorders; Musculoskeletal disorder; Work (physics); Motion capture; Computer science; Motion (physics); Simulation; Physical medicine and rehabilitation; Engineering; Human factors and ergonomics; Artificial intelligence; Medicine; Poison control; Mechanical engineering","score_opus":0.010933823575462354,"score_gpt":0.2828036198917029,"score_spread":0.27186979631624053,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W189067298","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6187116,0.00037230062,0.37470698,0.00031514224,0.000051684874,0.00044695465,0.0009588042,0.00053145806,0.003905113],"genre_scores_gemma":[0.9464628,0.00021320545,0.051441576,0.00003306358,0.000021448383,0.00041614362,0.0005695505,0.000025715586,0.0008163777],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99978465,0.000103094964,0.000013629491,0.000032731168,0.00004953891,0.00001640023],"domain_scores_gemma":[0.9990797,0.000687923,0.000077707096,0.000038683418,0.00007122335,0.000044819277],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005580835,0.0006699676,0.00039956777,0.0012285139,0.00023333466,0.0004096602,0.0006243792,0.0007110829,0.002191354],"category_scores_gemma":[0.002167501,0.00040013492,0.00068011536,0.0004653399,0.00019457977,0.00024184628,0.0005503173,0.00024417273,0.0003025612],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00039721053,0.00055360526,0.073628835,0.00012044451,0.00021291438,0.00018260928,0.00024084227,0.8694808,0.007921046,0.0010588483,0.000719643,0.045483273],"study_design_scores_gemma":[0.00001665215,0.00010897915,0.013770831,0.000017125909,0.000017631906,0.00003841863,0.000039227438,0.98493826,0.00036552074,0.00040685578,0.00026677203,0.000013603718],"about_ca_topic_score_codex":0.012341422,"about_ca_topic_score_gemma":0.008444705,"teacher_disagreement_score":0.012341422,"about_ca_system_score_codex":0.0003414296,"about_ca_system_score_gemma":0.0006034916,"threshold_uncertainty_score":0.024539173},"labels":[],"label_agreement":null},{"id":"W1916505624","doi":"10.22260/isarc2015/0065","title":"Robotic Kinematics Analogy for Realignment of Defective Construction Assemblies","year":2015,"lang":"en","type":"article","venue":"Proceedings of the ... ISARC","topic":"BIM and Construction Integration","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Kinematics; Inverse kinematics; Computer science; Analogy; Robotics; Artificial intelligence; Degrees of freedom (physics and chemistry); State (computer science); Robot; Download; Programming language; Operating system","score_opus":0.022008234063471944,"score_gpt":0.22904870889861603,"score_spread":0.2070404748351441,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1916505624","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.008883442,0.00006423016,0.98677164,0.000043832002,0.00002515155,0.000043294913,0.000014107099,0.00078705786,0.003367139],"genre_scores_gemma":[0.41654763,0.00015073965,0.57887095,0.0000377295,0.000015653268,0.00011480514,0.00008342882,0.00014809896,0.0040309774],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99937767,0.00010710871,0.000030237772,0.00013838179,0.00030632407,0.00004026191],"domain_scores_gemma":[0.9996458,0.000099974095,0.000077858196,0.00010431244,0.000055626457,0.000016381307],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00061311,0.0005536484,0.00043984482,0.00062713755,0.00038605553,0.00068536337,0.00097417337,0.00066943245,0.0025581766],"category_scores_gemma":[0.0012444415,0.00042109293,0.00051895704,0.00027208767,0.0011502634,0.0008901915,0.00087250554,0.00077661185,0.00057152077],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00015828594,0.00015232347,0.00088977534,0.00023035608,0.00002328749,0.00036144542,0.0007235974,0.54569197,0.14175037,0.14265072,0.001103435,0.16626443],"study_design_scores_gemma":[0.000024648441,0.00026852114,0.0009979635,0.000034029545,0.000018473967,0.00040414862,0.00009191834,0.90232694,0.056253366,0.02373598,0.015797028,0.000046978552],"about_ca_topic_score_codex":0.001350839,"about_ca_topic_score_gemma":0.0013412207,"teacher_disagreement_score":0.0025581766,"about_ca_system_score_codex":0.0005084923,"about_ca_system_score_gemma":0.00073593605,"threshold_uncertainty_score":0.008557916},"labels":[],"label_agreement":null},{"id":"W1930473354","doi":"10.22260/isarc2015/0074","title":"Analytical Tunnel-Boring Machine Pose Precision and Sensitivity Evaluation for Underground Tunnelling","year":2015,"lang":"en","type":"article","venue":"Proceedings of the ... ISARC","topic":"Tunneling and Rock Mechanics","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Sensitivity (control systems); Orientation (vector space); Position (finance); Head (geology); Tracking (education); Track (disk drive); Point (geometry); Calibration; Computer science; Tunnel boring machine; Engineering; Simulation; Mechanical engineering; Electronic engineering","score_opus":0.04152410998539218,"score_gpt":0.26256957977686995,"score_spread":0.22104546979147777,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1930473354","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.29607198,0.0011804897,0.69544667,0.00014512856,0.00014723277,0.00016714091,0.00022176048,0.0014181569,0.005201439],"genre_scores_gemma":[0.9619444,0.00015861109,0.0371122,0.000020421252,0.000010221826,0.00003912422,0.00011701463,0.000058119007,0.0005399915],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9979367,0.00047032424,0.00007773435,0.0002623507,0.0011127962,0.00014012026],"domain_scores_gemma":[0.994919,0.0027173213,0.00050183054,0.0006303914,0.001149495,0.000081907325],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0018105013,0.001102693,0.0006307921,0.0014033822,0.00037371938,0.00074479444,0.00066373876,0.0008182512,0.0013445165],"category_scores_gemma":[0.007945253,0.0003513996,0.0004839275,0.0008578247,0.0005704943,0.00061040465,0.0012896016,0.0006356594,0.00031881157],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00078112737,0.00015900652,0.009542135,0.0006774247,0.00009846592,0.00021728639,0.00023322369,0.7858105,0.05760726,0.0022311516,0.0009156436,0.14172675],"study_design_scores_gemma":[0.0000141311175,0.00041012745,0.005265659,0.00004342056,0.000029800707,0.00016561596,0.000097432116,0.9581718,0.034118485,0.0007938784,0.0008401204,0.000049531358],"about_ca_topic_score_codex":0.001782461,"about_ca_topic_score_gemma":0.0012587957,"teacher_disagreement_score":0.0018105013,"about_ca_system_score_codex":0.00061690155,"about_ca_system_score_gemma":0.00050575414,"threshold_uncertainty_score":0.009575009},"labels":[],"label_agreement":null},{"id":"W195283163","doi":"10.22260/isarc2014/0109","title":"Experimental Study of Wireless Sensor Networks forIndoor Construction Operations","year":2014,"lang":"en","type":"article","venue":"Proceedings of the ... ISARC","topic":"Indoor and Outdoor Localization Technologies","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"","keywords":"Wireless sensor network; Wireless site survey; Wireless; Computer science; Wireless network; Global Positioning System; Key distribution in wireless sensor networks; Telecommunications; Computer network","score_opus":0.007669032895765037,"score_gpt":0.20760029396786,"score_spread":0.19993126107209497,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W195283163","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9872104,0.000079308,0.010987602,0.000056823596,0.00006121543,0.00009557133,0.0002691014,0.00009347209,0.0011466127],"genre_scores_gemma":[0.9926882,0.00013055497,0.0054705287,0.00002241068,0.000007800957,0.00014284362,0.0003967432,0.0000079388565,0.0011330156],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99897087,0.00025533998,0.000108402906,0.00018187342,0.00033980762,0.00014381103],"domain_scores_gemma":[0.9982803,0.0007349156,0.00021866163,0.0002369352,0.00043554374,0.000093699986],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00095749233,0.00050876423,0.00031635337,0.0005313159,0.00039609402,0.00032209978,0.0005671089,0.0003675305,0.0014139089],"category_scores_gemma":[0.0015591779,0.00016539394,0.00034037436,0.00050067244,0.00042122803,0.0006637476,0.00042999003,0.00032907113,0.00019620714],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0042176167,0.0053275414,0.06066419,0.0013302232,0.0002549665,0.0013341904,0.0009979191,0.12284331,0.6500651,0.003228932,0.0026937933,0.14704226],"study_design_scores_gemma":[0.00019124482,0.019727845,0.08528705,0.00009133344,0.00020007815,0.0007661664,0.0021466266,0.30459037,0.5787751,0.0012315089,0.0068761557,0.00011641631],"about_ca_topic_score_codex":0.0009574216,"about_ca_topic_score_gemma":0.0013754482,"teacher_disagreement_score":0.0014139089,"about_ca_system_score_codex":0.00036678146,"about_ca_system_score_gemma":0.00032927227,"threshold_uncertainty_score":0.005063772},"labels":[],"label_agreement":null},{"id":"W1956656227","doi":"10.22260/isarc2013/0150","title":"Study on Methodology for Detecting the Status of General Excavator without Renovation","year":2013,"lang":"en","type":"article","venue":"Proceedings of the ... ISARC","topic":"Hydraulic and Pneumatic Systems","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Excavator; Excavation; Work (physics); Rollover (web design); Computer science; Robot; Engineering; Embedded system; Simulation; Mechanical engineering; Artificial intelligence; Geotechnical engineering","score_opus":0.07221510890825655,"score_gpt":0.29802970555135355,"score_spread":0.225814596643097,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1956656227","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.06741293,0.0003497695,0.9279513,0.00012398306,0.00008906877,0.00053202844,0.00011561872,0.0011487481,0.002276583],"genre_scores_gemma":[0.55514896,0.00043289494,0.44049686,0.00010144495,0.000046471607,0.0006642275,0.0002607864,0.000085067346,0.0027632883],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99753153,0.00050865096,0.0002147801,0.0006439579,0.0009680164,0.00013305638],"domain_scores_gemma":[0.9963568,0.00096986955,0.00045373407,0.00035152186,0.0017387766,0.00012934073],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002063802,0.00075351977,0.0004666136,0.0014592431,0.000375198,0.0009795546,0.0010307438,0.0007985644,0.0017720778],"category_scores_gemma":[0.0054721492,0.00029962804,0.0005156526,0.0005914202,0.0003297592,0.0012981755,0.0006890203,0.0003971637,0.0006807856],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000653357,0.00030733636,0.044182364,0.0010568437,0.00015880725,0.00055510376,0.0013575655,0.008881727,0.22498585,0.0045421957,0.001810892,0.711508],"study_design_scores_gemma":[0.00022702946,0.0045496533,0.08416615,0.00031207805,0.00049178774,0.0038662688,0.0031260306,0.500493,0.36687788,0.0057103653,0.029872447,0.00030732527],"about_ca_topic_score_codex":0.0016209285,"about_ca_topic_score_gemma":0.0013433011,"teacher_disagreement_score":0.002063802,"about_ca_system_score_codex":0.00037474275,"about_ca_system_score_gemma":0.00087169785,"threshold_uncertainty_score":0.0109145045},"labels":[],"label_agreement":null},{"id":"W1962194200","doi":"10.22260/isarc2015/0092","title":"A BIM-Based Simulation Model for Inventory Management in Panelized Construction","year":2015,"lang":"en","type":"article","venue":"Proceedings of the ... ISARC","topic":"Advanced Manufacturing and Logistics Optimization","field":"Engineering","cited_by":14,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Building information modeling; Context (archaeology); Workflow; Computer science; Schedule; Inventory management; Information exchange; Process (computing); Rework; Discrete event simulation; Operations research; Database; Engineering; Simulation; Operations management; Scheduling (production processes)","score_opus":0.04411403155795935,"score_gpt":0.25545843896273834,"score_spread":0.211344407404779,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1962194200","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.066496946,0.0005060968,0.89846,0.0006011122,0.0001314215,0.00023444532,0.0013074178,0.0008673158,0.031395268],"genre_scores_gemma":[0.8647813,0.0008967162,0.11871596,0.00010541637,0.000041343148,0.0007576285,0.001435843,0.00013907281,0.013126772],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9995925,0.00014151816,0.000029758005,0.00005751436,0.00011937864,0.000059311544],"domain_scores_gemma":[0.99949706,0.00025085136,0.000051735948,0.000029132712,0.00012746871,0.000043713993],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007676833,0.0007818606,0.00093922013,0.0009662262,0.0009037309,0.0021346554,0.0018038274,0.0017042618,0.0057035275],"category_scores_gemma":[0.0013314348,0.00070594257,0.0013158784,0.0012665753,0.0006283973,0.0013342401,0.0012245564,0.00103359,0.0006939192],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000014842284,0.00001632729,0.00019316154,0.000009966388,0.0000054906345,0.000032441476,0.000019310932,0.995023,0.00015199948,0.0029575552,0.00014718181,0.0014287115],"study_design_scores_gemma":[0.0000040926334,0.00000552195,0.000043282453,0.0000034103782,0.0000034861725,0.0000049918503,0.000008267323,0.99875975,0.000069326095,0.00068734825,0.0004069975,0.0000035997766],"about_ca_topic_score_codex":0.025073208,"about_ca_topic_score_gemma":0.013164434,"teacher_disagreement_score":0.025073208,"about_ca_system_score_codex":0.0016046299,"about_ca_system_score_gemma":0.002367377,"threshold_uncertainty_score":0.049854517},"labels":[],"label_agreement":null},{"id":"W202192001","doi":"10.22260/isarc2013/0174","title":"Updating Bayesian Network for Diagnostic Failure Analysis of Construction Equipment","year":2013,"lang":"en","type":"article","venue":"Proceedings of the ... ISARC","topic":"Occupational Health and Safety Research","field":"Health Professions","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Bayesian network; Computer science; Download; Bayesian probability; Variety (cybernetics); Conditional probability; Reliability engineering; Machine learning; Data mining; Artificial intelligence; Engineering; World Wide Web","score_opus":0.03408779688444534,"score_gpt":0.38132698276299765,"score_spread":0.3472391858785523,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W202192001","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.024554556,0.00044446782,0.97328925,0.00019868431,0.000029981227,0.000069286914,0.00015140513,0.00021053119,0.0010517765],"genre_scores_gemma":[0.8174512,0.0009045506,0.1764882,0.00016323446,0.00013190845,0.0004812334,0.001082754,0.00006654112,0.003230343],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9984458,0.00074117514,0.0000851658,0.00034848345,0.00027015552,0.00010912408],"domain_scores_gemma":[0.9942768,0.004636871,0.00035406783,0.00014407188,0.000494856,0.00009334015],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0039777504,0.00095254974,0.0015266176,0.0025404936,0.0005440644,0.0010591192,0.0016045122,0.0014719331,0.002242531],"category_scores_gemma":[0.013097921,0.0007254895,0.0011077415,0.0013030209,0.00077061774,0.0015572209,0.0010695985,0.0016227028,0.0003873821],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000098908735,0.000052584062,0.002119533,0.000056262466,0.00007550991,0.000058320766,0.000062460604,0.9322755,0.00036878636,0.004832261,0.00067874294,0.059321072],"study_design_scores_gemma":[0.0000047926387,0.000008547674,0.00024805617,0.0000064748738,0.000010726073,0.000008940262,0.0000035552744,0.9962106,0.00009679028,0.0032813614,0.00011374899,0.0000064699484],"about_ca_topic_score_codex":0.013723624,"about_ca_topic_score_gemma":0.010006049,"teacher_disagreement_score":0.013723624,"about_ca_system_score_codex":0.0014347265,"about_ca_system_score_gemma":0.0010754971,"threshold_uncertainty_score":0.027287483},"labels":[],"label_agreement":null},{"id":"W2107712205","doi":"10.22260/isarc2009/0045","title":"Impact of Fast Automated Tracking of Construction Components on Labor Productivity","year":2009,"lang":"en","type":"article","venue":"Proceedings of the ... ISARC","topic":"BIM and Construction Integration","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Productivity; Tracking (education); Computer science; Automation; Engineering; Economics; Mechanical engineering","score_opus":0.010635980976854153,"score_gpt":0.23468409556212086,"score_spread":0.22404811458526672,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2107712205","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9954691,0.0001256533,0.0020701867,0.00006193965,0.000014649123,0.000031493535,0.00011007755,0.00007366544,0.002043293],"genre_scores_gemma":[0.99716115,0.000060501694,0.0019888026,0.00001420425,0.000007302816,0.00002063937,0.000096953074,0.00001602336,0.0006344761],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9955859,0.0016249733,0.00021105474,0.00040140937,0.0017167688,0.0004599228],"domain_scores_gemma":[0.97483975,0.016604498,0.0032453137,0.0023353216,0.002535947,0.00043920692],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0027534072,0.00056072226,0.00033419285,0.001017998,0.00061259314,0.0014177887,0.0005881991,0.0007169703,0.0034178216],"category_scores_gemma":[0.013765193,0.00025211173,0.00038118506,0.00098545,0.0006820533,0.0006833998,0.0010718808,0.0004184491,0.00067962584],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.005937376,0.0033033194,0.19676474,0.0006428852,0.00023160328,0.00056671834,0.0011788423,0.1468588,0.055601016,0.0011824865,0.0018920449,0.5858402],"study_design_scores_gemma":[0.00022117374,0.011541267,0.8501254,0.00014231801,0.00024151504,0.0003642743,0.0021472813,0.07021987,0.056564514,0.001984844,0.006301847,0.00014576621],"about_ca_topic_score_codex":0.005472845,"about_ca_topic_score_gemma":0.005664346,"teacher_disagreement_score":0.005472845,"about_ca_system_score_codex":0.0013539683,"about_ca_system_score_gemma":0.0013449212,"threshold_uncertainty_score":0.0145615935},"labels":[],"label_agreement":null},{"id":"W212569231","doi":"10.22260/isarc2013/0120","title":"Autonomous Modeling of Pipes within Point Clouds","year":2013,"lang":"en","type":"article","venue":"Proceedings of the ... ISARC","topic":"3D Surveying and Cultural Heritage","field":"Earth and Planetary Sciences","cited_by":13,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Point cloud; Laptop; Computer science; Reverse engineering; Computer graphics (images); Point (geometry); Download; Photogrammetry; Laser scanning; Cloud computing; Scanner; Computer vision; Artificial intelligence; Laser; Operating system; Geometry","score_opus":0.018239141185188983,"score_gpt":0.19259294831260515,"score_spread":0.17435380712741616,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W212569231","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.038434394,0.000071671435,0.9578269,0.000053495754,0.000015541895,0.000064677166,0.00029555094,0.0022590132,0.0009787921],"genre_scores_gemma":[0.60973525,0.0004038427,0.3853115,0.000029549916,0.00002060561,0.00017111993,0.0012993146,0.00040551086,0.0026233702],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999632,0.000053178013,0.000019602727,0.000086541615,0.00016846528,0.000040066214],"domain_scores_gemma":[0.99960226,0.00013699433,0.000051774565,0.00008987436,0.00009168394,0.000027563794],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00030202486,0.00072561024,0.000738075,0.0010035718,0.0004896634,0.0012733018,0.0011836906,0.00097240816,0.0014247701],"category_scores_gemma":[0.0010068638,0.0007499976,0.0010070662,0.0011876221,0.00065996865,0.0011064922,0.001391258,0.00075459044,0.0006853395],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00005891146,0.000025097543,0.0016096762,0.000054124626,0.00003223341,0.00014243767,0.0001320101,0.9456525,0.014719652,0.0023591614,0.000547366,0.03466682],"study_design_scores_gemma":[0.0000023056032,0.0000054031143,0.00029050375,0.0000033900292,0.00000216303,0.000018284478,0.00001725789,0.99556786,0.0026793398,0.0008577065,0.00055077346,0.000004921609],"about_ca_topic_score_codex":0.010000354,"about_ca_topic_score_gemma":0.011522946,"teacher_disagreement_score":0.010000354,"about_ca_system_score_codex":0.00049187423,"about_ca_system_score_gemma":0.0008223542,"threshold_uncertainty_score":0.019884288},"labels":[],"label_agreement":null},{"id":"W2138302254","doi":"10.22260/isarc2013/0022","title":"Development of Fail-Safety System for Building Wall Cleaning Robot","year":2013,"lang":"en","type":"article","venue":"Proceedings of the ... ISARC","topic":"Soft Robotics and Applications","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Robot; Shock (circulatory); Work (physics); Engineering; Computer science; Simulation; Real-time computing; Mechanical engineering; Artificial intelligence","score_opus":0.012147513544041505,"score_gpt":0.204371712022479,"score_spread":0.1922241984784375,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2138302254","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.10836491,0.00075396505,0.83650964,0.00052179734,0.00047285124,0.0009791275,0.000442763,0.03700962,0.014945347],"genre_scores_gemma":[0.7448099,0.0006052954,0.22383678,0.00041948908,0.0001296061,0.0010957851,0.0013542615,0.0005382526,0.02721054],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99931014,0.000055444838,0.000048908434,0.00012310609,0.00038486783,0.00007751198],"domain_scores_gemma":[0.99930346,0.000052658175,0.00006760199,0.0000747445,0.00042126802,0.000080412596],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00051198626,0.0008619229,0.00084495475,0.0008481975,0.00061408145,0.0004973979,0.0015494145,0.0008350235,0.0059381635],"category_scores_gemma":[0.0007163802,0.0004319991,0.00046110735,0.00022153993,0.0002914034,0.0006489766,0.00093018136,0.00056222605,0.002986663],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0010340161,0.00048253703,0.014227739,0.0015070881,0.00016551359,0.0026664915,0.0012648845,0.035479967,0.41482088,0.004141541,0.03163321,0.49257618],"study_design_scores_gemma":[0.0005619464,0.004952735,0.028930204,0.00031974315,0.00037781094,0.0042998763,0.0006445821,0.511295,0.30712673,0.0022952233,0.13874981,0.0004462846],"about_ca_topic_score_codex":0.0015474455,"about_ca_topic_score_gemma":0.0008057799,"teacher_disagreement_score":0.0059381635,"about_ca_system_score_codex":0.0002494479,"about_ca_system_score_gemma":0.00089332607,"threshold_uncertainty_score":0.019865155},"labels":[],"label_agreement":null},{"id":"W2140445577","doi":"10.22260/isarc2005/0026","title":"Real-Time, Three-Dimensional Object Detection and Modeling in Construction","year":2005,"lang":"en","type":"article","venue":"Proceedings of the ... ISARC","topic":"3D Surveying and Cultural Heritage","field":"Earth and Planetary Sciences","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Computer science; Range (aeronautics); Frame (networking); Frame rate; Bounding overwatch; Volume (thermodynamics); Minimum bounding box; Cloud computing; Field (mathematics); Real-time computing; Object detection; Computer vision; Object (grammar); Computer graphics (images); Artificial intelligence; Flash (photography); Image (mathematics); Pattern recognition (psychology); Engineering; Operating system","score_opus":0.01908286929930931,"score_gpt":0.20407656292516793,"score_spread":0.18499369362585863,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2140445577","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0284844,0.00023301973,0.96884984,0.00008776859,0.000019988882,0.000027516158,0.00005352711,0.0012948682,0.00094914273],"genre_scores_gemma":[0.5046184,0.00055250997,0.49098176,0.000058706137,0.000019654495,0.000089244684,0.00030061355,0.00019342752,0.0031856808],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9995777,0.000096825286,0.000017414404,0.00010253792,0.00016718968,0.00003840558],"domain_scores_gemma":[0.9996215,0.0001470537,0.000047482303,0.00008328239,0.00007327977,0.00002746561],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007610966,0.00037743672,0.00040400325,0.0009026118,0.0002903061,0.0012467484,0.000869633,0.0006671416,0.0014105332],"category_scores_gemma":[0.0009832624,0.00055147166,0.0006071673,0.0008204221,0.00089546124,0.0009898541,0.00071006414,0.00050412543,0.00073712086],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00033373857,0.00012603465,0.0057332143,0.00024162988,0.00007946503,0.00024316089,0.0003586018,0.48566929,0.09734468,0.011618346,0.0034288617,0.394823],"study_design_scores_gemma":[0.00000729865,0.000040581694,0.0021672477,0.000008822932,0.00001061276,0.00016123812,0.000049733346,0.97724473,0.013863898,0.002718637,0.0037068117,0.000020438809],"about_ca_topic_score_codex":0.0072327056,"about_ca_topic_score_gemma":0.0055525047,"teacher_disagreement_score":0.0072327056,"about_ca_system_score_codex":0.0008129683,"about_ca_system_score_gemma":0.0007140443,"threshold_uncertainty_score":0.01438117},"labels":[],"label_agreement":null},{"id":"W2141388494","doi":"10.22260/isarc2009/0013","title":"An Overview of Autonomous Loading of Bulk Material","year":2009,"lang":"en","type":"article","venue":"Proceedings of the ... ISARC","topic":"Belt Conveyor Systems Engineering","field":"Engineering","cited_by":50,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Download; Computer science; Heap (data structure); Automation; Work (physics); Process (computing); Engineering; World Wide Web; Mechanical engineering; Operating system","score_opus":0.019506102371974643,"score_gpt":0.23526818128219307,"score_spread":0.21576207891021842,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2141388494","genre_codex":"methods","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.009991123,0.39509934,0.47609136,0.001055667,0.0011086748,0.00032650187,0.00032603202,0.0025878353,0.11341347],"genre_scores_gemma":[0.1650046,0.49524808,0.26341596,0.0009022792,0.0020098588,0.0004968268,0.0014570064,0.00057245255,0.070892975],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.999321,0.000065993016,0.000050072293,0.00015820368,0.00034704397,0.000057730114],"domain_scores_gemma":[0.9996443,0.000115882685,0.000045696557,0.000047713027,0.000112141286,0.000034283945],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00042757558,0.0009072981,0.0008518359,0.0015853363,0.00052771374,0.002168831,0.0014461336,0.0015999425,0.0059538228],"category_scores_gemma":[0.0006373801,0.00079599343,0.0006252716,0.0019758511,0.0005851976,0.002964146,0.0011209976,0.00084037794,0.0050003626],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00018975534,0.00015140466,0.0012861813,0.0053924457,0.000058889007,0.00041040056,0.00032959037,0.028893257,0.021871498,0.041333664,0.018517371,0.8815655],"study_design_scores_gemma":[0.000024056024,0.00045170286,0.002219833,0.0008364593,0.00008002403,0.0013634621,0.00020705725,0.056374893,0.010848094,0.02568817,0.90180486,0.00010138682],"about_ca_topic_score_codex":0.001667307,"about_ca_topic_score_gemma":0.0013475996,"teacher_disagreement_score":0.0059538228,"about_ca_system_score_codex":0.0006856358,"about_ca_system_score_gemma":0.00093620736,"threshold_uncertainty_score":0.019917488},"labels":[],"label_agreement":null},{"id":"W2152534333","doi":"10.22260/isarc2005/0080","title":"Simulation Study of a Control Procedure for Automated Loading of Bulk Media","year":2005,"lang":"en","type":"article","venue":"Proceedings of the ... ISARC","topic":"Hydraulic and Pneumatic Systems","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Excavator; Automation; Process (computing); Task (project management); Computer science; Work (physics); Control (management); Commercialization; Automatic control; Operator (biology); Trajectory; Control engineering; Engineering; Mechanical engineering; Systems engineering; Artificial intelligence","score_opus":0.013461757941941958,"score_gpt":0.2417716024494097,"score_spread":0.22830984450746775,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2152534333","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8068093,0.0002899997,0.16434146,0.00040003285,0.000113671704,0.00027902462,0.0005115537,0.0008786731,0.02637628],"genre_scores_gemma":[0.9908852,0.00005565787,0.0067294035,0.000015463624,0.0000032115604,0.00007370489,0.0001055939,0.000019312816,0.0021123362],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998018,0.000052123654,0.0000099320005,0.00003093209,0.00004631453,0.000058858095],"domain_scores_gemma":[0.99811256,0.0013593915,0.00012335296,0.00007786143,0.00021926759,0.00010753518],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00055049884,0.00043462202,0.00049046986,0.00054180913,0.0006756838,0.0008559557,0.00067408424,0.0011989224,0.006218787],"category_scores_gemma":[0.0019283418,0.0002134821,0.00063220586,0.00026120176,0.0006297139,0.00038455686,0.0005117079,0.0005771478,0.00022604782],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00021820019,0.00010016911,0.0014896174,0.000076332,0.000015715896,0.00013731574,0.000079600824,0.98881066,0.0029171593,0.0027801532,0.00027429132,0.003100787],"study_design_scores_gemma":[0.000015245985,0.00006483577,0.0002939653,0.0000038882768,0.0000058927867,0.000006745387,0.000021765987,0.9984333,0.0007000841,0.00025969898,0.0001903183,0.0000043365444],"about_ca_topic_score_codex":0.017428141,"about_ca_topic_score_gemma":0.007165679,"teacher_disagreement_score":0.017428141,"about_ca_system_score_codex":0.00066777226,"about_ca_system_score_gemma":0.00090962654,"threshold_uncertainty_score":0.034653366},"labels":[],"label_agreement":null},{"id":"W2156889596","doi":"10.22260/isarc2014/0044","title":"A Model for Construction Contractor Selection Using Competitive Intelligence (CI)","year":2014,"lang":"en","type":"article","venue":"Proceedings of the ... ISARC","topic":"Competitive and Knowledge Intelligence","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Vale (Canada); University of Waterloo","funders":"","keywords":"Megaproject; Selection (genetic algorithm); Variety (cybernetics); Process (computing); Competitive advantage; Download; Computer science; Competitive intelligence; Construction industry; Risk management; Operations research; Engineering; Artificial intelligence; Knowledge management; Management; Economics; Construction engineering; World Wide Web","score_opus":0.042239754983061706,"score_gpt":0.25748036550033243,"score_spread":0.21524061051727073,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2156889596","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.057426613,0.00034673608,0.76020944,0.006346265,0.00012474619,0.0012586851,0.0020666632,0.000511984,0.1717088],"genre_scores_gemma":[0.7429303,0.00075000734,0.22425748,0.00043489118,0.000084178355,0.0023023926,0.0016204949,0.00006337364,0.027556911],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9972988,0.0012054368,0.00013422141,0.00041248626,0.00063684315,0.00031217115],"domain_scores_gemma":[0.9944992,0.0039507146,0.0004887054,0.0001684852,0.0006430574,0.00024983444],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004271405,0.0008722371,0.0006574036,0.0028569933,0.0014837381,0.0062661185,0.0031530124,0.0029647704,0.01731896],"category_scores_gemma":[0.009573794,0.0004540754,0.0009441206,0.0039797854,0.0018168765,0.004715533,0.0016054438,0.0019890082,0.002218029],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00010520303,0.0002370943,0.0053147944,0.00012400841,0.000043385244,0.00037258465,0.0009805079,0.29529315,0.0002992697,0.6574141,0.0059369947,0.033879027],"study_design_scores_gemma":[0.00006945603,0.00008780768,0.001114083,0.00006262633,0.00002781352,0.00014622691,0.00060589553,0.88894784,0.00015314385,0.09789695,0.0108371675,0.00005096396],"about_ca_topic_score_codex":0.026690677,"about_ca_topic_score_gemma":0.016395748,"teacher_disagreement_score":0.026690677,"about_ca_system_score_codex":0.0051101544,"about_ca_system_score_gemma":0.004908547,"threshold_uncertainty_score":0.05793768},"labels":[],"label_agreement":null},{"id":"W2176047745","doi":"10.22260/isarc2013/0049","title":"Dynamic Planning of Construction Activities Using Hybrid Simulation","year":2013,"lang":"en","type":"article","venue":"Proceedings of the ... ISARC","topic":"BIM and Construction Integration","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"","keywords":"Process (computing); Computer science; System dynamics; Scheduling (production processes); Representation (politics); Dimension (graph theory); Discrete event simulation; Project planning; Project management; Industrial engineering; Systems engineering; Operations research; Simulation; Engineering; Operations management; Artificial intelligence","score_opus":0.010347453201509062,"score_gpt":0.22047614149626132,"score_spread":0.21012868829475226,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2176047745","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.031325627,0.00011869445,0.95846003,0.00007616327,0.000020898571,0.000077147015,0.000103859806,0.00043486778,0.009382728],"genre_scores_gemma":[0.87514704,0.0002848165,0.12053861,0.000028743205,0.0000111856525,0.00034952385,0.00021418445,0.000060447965,0.0033654983],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999561,0.00015852263,0.000026969783,0.00007409229,0.00012974467,0.00004970736],"domain_scores_gemma":[0.99935704,0.0004149379,0.00006029845,0.000044704488,0.00008767017,0.00003535944],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006465744,0.00064152404,0.0007021945,0.0009784348,0.00045831877,0.0013291485,0.0010593235,0.00078760134,0.002614976],"category_scores_gemma":[0.0011949315,0.00054767216,0.00093852857,0.00088811584,0.0006608271,0.00078778417,0.0011986346,0.00052985305,0.00027597995],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000012508674,0.000007558455,0.00021679039,0.000011013336,0.000007942812,0.00001680477,0.000018764264,0.99437124,0.0002883747,0.002065232,0.00003745675,0.0029463742],"study_design_scores_gemma":[0.0000026406337,0.0000071919103,0.000045788194,0.0000024355209,0.0000022181932,0.000004097944,0.0000068629156,0.9986738,0.0001299139,0.00088398554,0.00023841059,0.0000026529087],"about_ca_topic_score_codex":0.010363167,"about_ca_topic_score_gemma":0.006879886,"teacher_disagreement_score":0.010363167,"about_ca_system_score_codex":0.00093967834,"about_ca_system_score_gemma":0.0010848984,"threshold_uncertainty_score":0.020605683},"labels":[],"label_agreement":null},{"id":"W2181076214","doi":"10.22260/isarc2009/0048","title":"Integrating Automated Data Acquisition Technologies for Progress Reporting of Construction Projects","year":2009,"lang":"en","type":"article","venue":"Proceedings of the ... ISARC","topic":"BIM and Construction Integration","field":"Engineering","cited_by":14,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"","keywords":"Computer science; Data acquisition; Automation; Software; Data collection; Data management; Coding (social sciences); Schedule; Photogrammetry; Bar chart; Software engineering; Systems engineering; Database; Engineering; Operating system; Artificial intelligence","score_opus":0.025918574307384444,"score_gpt":0.2721018466850441,"score_spread":0.24618327237765966,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2181076214","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.03773652,0.0009207331,0.9454095,0.00024495405,0.0000928656,0.0005966123,0.00044020053,0.008158052,0.0064006266],"genre_scores_gemma":[0.5093943,0.0013207181,0.4829486,0.00008230898,0.00008228064,0.0006473674,0.0014134389,0.00024251043,0.0038684746],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9957248,0.0010161846,0.00044801473,0.00044457195,0.0022470094,0.00011952536],"domain_scores_gemma":[0.9958163,0.0016053276,0.00049118034,0.00064874487,0.001366659,0.000071759874],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0033998017,0.00067789,0.00042233974,0.003241727,0.00027964465,0.0022195955,0.0010557214,0.00042812375,0.0016168592],"category_scores_gemma":[0.0048087756,0.0004440105,0.00047080423,0.0019849667,0.00035712807,0.0018189567,0.00078771665,0.00042999722,0.0006136017],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002677687,0.000320905,0.009567133,0.00035680959,0.00011472618,0.00015834793,0.00046222928,0.047535352,0.026321977,0.007660596,0.005182079,0.90205204],"study_design_scores_gemma":[0.00017185094,0.0010230709,0.016655115,0.0003300487,0.00029288974,0.00053885527,0.00057803723,0.75348634,0.12759584,0.006826811,0.092264585,0.0002365422],"about_ca_topic_score_codex":0.0050479136,"about_ca_topic_score_gemma":0.0027348981,"teacher_disagreement_score":0.0050479136,"about_ca_system_score_codex":0.00093082944,"about_ca_system_score_gemma":0.0012031817,"threshold_uncertainty_score":0.017980099},"labels":[],"label_agreement":null},{"id":"W2199488367","doi":"10.22260/isarc2013/0070","title":"A Model for Implementing &amp; Continuously Improving the Automated Change Management Process for Construction Mega Projects","year":2013,"lang":"en","type":"article","venue":"Proceedings of the ... ISARC","topic":"Product Development and Customization","field":"Business, Management and Accounting","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Computer science; Process (computing); Project management; Process management; Quality (philosophy); The Internet; Change management (ITSM); Engineering management; Knowledge management; Business; Operations management; Engineering; World Wide Web; Systems engineering","score_opus":0.05054810791494355,"score_gpt":0.2525742930933196,"score_spread":0.20202618517837603,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2199488367","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.02653518,0.00016325188,0.93291765,0.0029927345,0.000091097456,0.0009448462,0.00031794468,0.0022003325,0.033836886],"genre_scores_gemma":[0.41749936,0.0004106662,0.56783473,0.00028641193,0.000040008814,0.0012763151,0.00051428145,0.00014314732,0.011995041],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99622077,0.0015379655,0.0002805515,0.00062169746,0.000889027,0.00045007208],"domain_scores_gemma":[0.9942,0.0023594133,0.0007460809,0.00074415444,0.0012648816,0.0006855626],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0047386084,0.0011837899,0.00047504218,0.0018400047,0.0013872347,0.0061061913,0.0036377993,0.003990415,0.009705754],"category_scores_gemma":[0.010418249,0.0006337038,0.0011174051,0.0018124138,0.002004923,0.0065910895,0.003218723,0.0018955122,0.0020869898],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00031725992,0.00074576534,0.004984809,0.00039766778,0.00009349071,0.00083575305,0.0017615857,0.59208924,0.0045815893,0.28178075,0.0049244813,0.10748771],"study_design_scores_gemma":[0.00012559725,0.0002904149,0.0007332597,0.00012828861,0.00006904777,0.00019739484,0.0005295359,0.920196,0.0017518819,0.054445513,0.021461755,0.000071404516],"about_ca_topic_score_codex":0.016445044,"about_ca_topic_score_gemma":0.011755271,"teacher_disagreement_score":0.016445044,"about_ca_system_score_codex":0.0040537524,"about_ca_system_score_gemma":0.006579619,"threshold_uncertainty_score":0.03269863},"labels":[],"label_agreement":null},{"id":"W2281952363","doi":"10.22260/isarc2013/0040","title":"A Simplified Online Solution for Simulation-Based Optimization of Earthmoving Operations","year":2013,"lang":"en","type":"article","venue":"Proceedings of the ... ISARC","topic":"Simulation Techniques and Applications","field":"Decision Sciences","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Computer science; Industrial engineering; Engineering drawing; Manufacturing engineering; Engineering","score_opus":0.10103557522350386,"score_gpt":0.3836315057800138,"score_spread":0.28259593055650994,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2281952363","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.008232816,0.00011520665,0.9787315,0.00018120022,0.000066132634,0.00016874632,0.0002892185,0.0017514917,0.010463589],"genre_scores_gemma":[0.42440838,0.00041410423,0.5550613,0.00022792126,0.00012697204,0.0014061983,0.0011546981,0.0008192441,0.016381117],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99955744,0.00011202509,0.00002586168,0.0000705691,0.00015696893,0.000077139535],"domain_scores_gemma":[0.9990343,0.0005782459,0.00005406063,0.00005999017,0.00021695165,0.000056389417],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006932169,0.0013708501,0.0014028202,0.0008129772,0.00066198193,0.0015548569,0.0013141112,0.001787792,0.02053875],"category_scores_gemma":[0.0024378374,0.00075479795,0.0012359893,0.00059006753,0.0003683215,0.0007657121,0.0014514696,0.0014174276,0.00257408],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000440479,0.0000546189,0.00026993375,0.00007640642,0.000015576408,0.00006143686,0.000032703698,0.97851026,0.00085089664,0.002568668,0.0011464992,0.016368864],"study_design_scores_gemma":[0.000012682147,0.000010539709,0.000045706765,0.00000609036,0.0000044314183,0.000006027464,0.000009118079,0.9980307,0.00019599969,0.00074419455,0.00093169976,0.0000028738932],"about_ca_topic_score_codex":0.012698054,"about_ca_topic_score_gemma":0.010423865,"teacher_disagreement_score":0.02053875,"about_ca_system_score_codex":0.0007444495,"about_ca_system_score_gemma":0.0015491977,"threshold_uncertainty_score":0.068708956},"labels":[],"label_agreement":null},{"id":"W2320184521","doi":"10.22260/isarc2011/0051","title":"Multi-Agent-Based Approach for Real-Time Collision Avoidance and Path Re-Planning on Construction Sites","year":2011,"lang":"en","type":"article","venue":"Proceedings of the ... ISARC","topic":"BIM and Construction Integration","field":"Engineering","cited_by":13,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"Natural Sciences and Engineering Research Council of Canada; Institut de Recherche Robert-Sauvé en Santé et en Sécurité du Travail","keywords":"Collision avoidance; Computer science; Negotiation; Motion planning; Collision; Path (computing); Download; Multi-agent system; Operations research; Control (management); Work (physics); Distributed computing; Computer security; Artificial intelligence; Engineering; Computer network; World Wide Web; Robot","score_opus":0.02949921104512663,"score_gpt":0.22026230240551437,"score_spread":0.19076309136038774,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2320184521","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.023363302,0.00017516452,0.9716082,0.000120782584,0.000049214847,0.000107386404,0.000030353836,0.0007980261,0.0037475282],"genre_scores_gemma":[0.43544957,0.00018884824,0.55734557,0.000053908716,0.000017350432,0.00024080354,0.00009472325,0.000089095825,0.006520094],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99969196,0.00010691018,0.00001926224,0.000052116884,0.00009541491,0.000034255023],"domain_scores_gemma":[0.9997434,0.000084438645,0.000031579482,0.000037252757,0.000069833135,0.000033513017],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00056363473,0.0005493881,0.000727878,0.0005719275,0.0008613614,0.0009795611,0.0014810284,0.0010024604,0.002046132],"category_scores_gemma":[0.00068768667,0.00042909864,0.00062398834,0.00042413818,0.00043746782,0.0007108583,0.0010619254,0.0006624903,0.00041356444],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00015758796,0.00018373068,0.00071530405,0.000119335076,0.00008816923,0.00036715606,0.00026116334,0.8608379,0.017449528,0.012233734,0.001906488,0.10567994],"study_design_scores_gemma":[0.000015580155,0.000022723625,0.00010909618,0.0000043515834,0.000013155816,0.00002890932,0.000028924516,0.9942222,0.0017097119,0.0013462701,0.0024913957,0.000007658337],"about_ca_topic_score_codex":0.005745028,"about_ca_topic_score_gemma":0.007710956,"teacher_disagreement_score":0.005745028,"about_ca_system_score_codex":0.00061691774,"about_ca_system_score_gemma":0.0011001225,"threshold_uncertainty_score":0.011423171},"labels":[],"label_agreement":null},{"id":"W2342653641","doi":"10.22260/isarc2013/0012","title":"A Proposed Model for Adoption\" High Technology Products (Robots) for Indian Construction Industry","year":2013,"lang":"en","type":"article","venue":"Proceedings of the ... ISARC","topic":"Innovations in Concrete and Construction Materials","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Robot; Automation; Computer science; Work (physics); Manufacturing engineering; Demolition; Download; Engineering management; Engineering; Civil engineering; Artificial intelligence; Mechanical engineering; World Wide Web","score_opus":0.011650084236712849,"score_gpt":0.20550678227148594,"score_spread":0.1938566980347731,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2342653641","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.19433582,0.0011627828,0.48756203,0.015833247,0.00029089273,0.0009226337,0.0025683327,0.0011285979,0.29619575],"genre_scores_gemma":[0.9100116,0.0012066505,0.0531863,0.00040631215,0.00005161811,0.0008176348,0.0007111933,0.00005743258,0.033551235],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99879885,0.00037780532,0.000061114,0.00030092985,0.00021220747,0.0002491118],"domain_scores_gemma":[0.9982728,0.0008763499,0.0002906731,0.000078485886,0.00035047726,0.00013122972],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011738625,0.00090436055,0.00046202188,0.0014814558,0.0010357655,0.0042448225,0.0026462423,0.002646158,0.012797119],"category_scores_gemma":[0.002700109,0.0005158893,0.0013401392,0.0017291625,0.0014943983,0.0035060614,0.0017138615,0.0016403893,0.0019304171],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00014189916,0.00034666687,0.01828054,0.00040877832,0.00009970418,0.0013470928,0.0026214735,0.2430443,0.0017960261,0.6773994,0.008431488,0.046082594],"study_design_scores_gemma":[0.00011749352,0.000297478,0.0090729045,0.00019711471,0.00019648147,0.0008421537,0.0020320197,0.83093697,0.0010588433,0.11457943,0.040529314,0.00013973433],"about_ca_topic_score_codex":0.02955893,"about_ca_topic_score_gemma":0.016716402,"teacher_disagreement_score":0.02955893,"about_ca_system_score_codex":0.004275185,"about_ca_system_score_gemma":0.0037688154,"threshold_uncertainty_score":0.058773756},"labels":[],"label_agreement":null},{"id":"W23564366","doi":"10.22260/isarc2013/0037","title":"Conflict Impact Assessment between Objects in a BIM System","year":2013,"lang":"en","type":"article","venue":"Proceedings of the ... ISARC","topic":"BIM and Construction Integration","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Seriousness; Computer science; Building information modeling; Conflict analysis; Operations research; Engineering; Operations management; Conflict resolution; Sociology; Political science","score_opus":0.009546662019823189,"score_gpt":0.23058896385580382,"score_spread":0.22104230183598064,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W23564366","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.20641208,0.0006320056,0.77104753,0.00028644662,0.00009111858,0.0011168219,0.0008587602,0.0023261833,0.017229104],"genre_scores_gemma":[0.66788906,0.00032345438,0.32861874,0.00006393531,0.000025431129,0.00036943032,0.0010768326,0.000104776474,0.0015282414],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.987789,0.0037544295,0.0010467407,0.00085873506,0.006014023,0.0005371898],"domain_scores_gemma":[0.99484164,0.0022320568,0.00069768046,0.00048186388,0.0014286867,0.0003180221],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005624435,0.0013371998,0.0010893325,0.007896496,0.0011066082,0.0047289683,0.0016214054,0.00095611846,0.0028353094],"category_scores_gemma":[0.011900413,0.00074649585,0.0010171734,0.0048151263,0.0009429852,0.0042772195,0.0043150135,0.0007697311,0.0008141758],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0016171864,0.0008928724,0.07074201,0.0015605689,0.0006381902,0.0018733579,0.0059421887,0.23779766,0.02798943,0.03252112,0.006316324,0.61210907],"study_design_scores_gemma":[0.00006342702,0.0004112723,0.019192029,0.0002609727,0.00032436204,0.000550116,0.0028251659,0.9224918,0.022946445,0.016588619,0.014152387,0.00019337959],"about_ca_topic_score_codex":0.0034118432,"about_ca_topic_score_gemma":0.0026021493,"teacher_disagreement_score":0.007896496,"about_ca_system_score_codex":0.0013424539,"about_ca_system_score_gemma":0.0016772026,"threshold_uncertainty_score":0.029745162},"labels":[],"label_agreement":null},{"id":"W2398421158","doi":"10.22260/isarc2013/0060","title":"Enhance Mining System Reliability through System Integration Approach","year":2013,"lang":"en","type":"article","venue":"Proceedings of the ... ISARC","topic":"Mineral Processing and Grinding","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Reliability (semiconductor); Reliability engineering; Computer science; System integration; Automation; Software quality; Data mining; Software; Engineering; Software development; Database","score_opus":0.009277746337187136,"score_gpt":0.19817950473862347,"score_spread":0.18890175840143633,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2398421158","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.033359457,0.00034190796,0.9631992,0.00012844839,0.000016786806,0.00010815088,0.00007014857,0.0009255555,0.0018503538],"genre_scores_gemma":[0.5891685,0.0003860908,0.40835738,0.000079439225,0.00003751774,0.0001614921,0.0003973776,0.00012250082,0.0012897444],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9986866,0.00036431156,0.00007365749,0.00021508192,0.00054256053,0.0001177207],"domain_scores_gemma":[0.99787366,0.0009210366,0.00025854618,0.00022105772,0.00066017365,0.00006553582],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0019389236,0.0009252266,0.00086356717,0.0026041537,0.00041248422,0.00096424524,0.0009704378,0.00047018574,0.0013512754],"category_scores_gemma":[0.0043587657,0.00043208044,0.0013902693,0.001702883,0.00032395063,0.0013552377,0.0015059578,0.000802864,0.00032216456],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012977277,0.00024014503,0.016915154,0.0004015757,0.0003680542,0.00032119712,0.00049633917,0.56050354,0.017905952,0.012988564,0.0022247636,0.38750488],"study_design_scores_gemma":[0.0000074210807,0.00008595057,0.0015489829,0.000017198148,0.00009345822,0.00005528763,0.00004059746,0.9892889,0.0026317758,0.004837985,0.0013816314,0.000010771527],"about_ca_topic_score_codex":0.0031423862,"about_ca_topic_score_gemma":0.0032191025,"teacher_disagreement_score":0.0031423862,"about_ca_system_score_codex":0.0005951296,"about_ca_system_score_gemma":0.0013425467,"threshold_uncertainty_score":0.010254145},"labels":[],"label_agreement":null},{"id":"W242429526","doi":"10.22260/isarc2013/0054","title":"Real-Time Information Support for Strategic Safety Inspection on Construction Sites","year":2013,"lang":"en","type":"article","venue":"Proceedings of the ... ISARC","topic":"Occupational Health and Safety Research","field":"Health Professions","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Checklist; SAFER; Task (project management); Control (management); Schedule; Construction site safety; Identification (biology); Computer science; Risk analysis (engineering); Risk management; Engineering; Systems engineering; Computer security; Business","score_opus":0.05222535979382473,"score_gpt":0.3818755200803114,"score_spread":0.32965016028648664,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W242429526","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.22626637,0.0023297858,0.6377368,0.0025345564,0.00038159633,0.0021381273,0.005908628,0.10452111,0.018183062],"genre_scores_gemma":[0.74990493,0.0008028824,0.2343073,0.00038589552,0.00013665986,0.00063532346,0.00552642,0.0010110063,0.007289624],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99837494,0.00050729996,0.0001412714,0.00024614803,0.0006089075,0.00012140055],"domain_scores_gemma":[0.9918765,0.0042097955,0.0007727182,0.0012662068,0.0012616656,0.00061315164],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0019702183,0.0009471406,0.00080320827,0.0021997772,0.0003846606,0.0024380195,0.0015701312,0.0009525765,0.010948381],"category_scores_gemma":[0.009271053,0.00035532445,0.00039546264,0.001438451,0.0002674703,0.0022092483,0.001785235,0.0007342432,0.0039569987],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0023089922,0.0008995269,0.00797452,0.0010971451,0.000118692325,0.0017193191,0.0028531423,0.015959369,0.04667283,0.0019004378,0.05332261,0.8651735],"study_design_scores_gemma":[0.0008347653,0.0018464659,0.04431871,0.0012290013,0.00034960688,0.0016228171,0.007029641,0.66299313,0.07436246,0.014206478,0.19078164,0.00042531558],"about_ca_topic_score_codex":0.0020948828,"about_ca_topic_score_gemma":0.0017315181,"teacher_disagreement_score":0.010948381,"about_ca_system_score_codex":0.0004380318,"about_ca_system_score_gemma":0.0007464062,"threshold_uncertainty_score":0.03662604},"labels":[],"label_agreement":null},{"id":"W2528254911","doi":"10.22260/isarc2016/0001","title":"Analytical Hierarchy Process Decision Support System (AHP-DSS) for Trenchless Technology","year":2016,"lang":"en","type":"article","venue":"Proceedings of the ... ISARC","topic":"Big Data and Business Intelligence","field":"Business, Management and Accounting","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"","keywords":"Trenchless technology; Analytic hierarchy process; Process (computing); Hierarchy; Computer science; Decision support system; Engineering; Operations research; Data mining; Pipeline transport","score_opus":0.039756195732324244,"score_gpt":0.29035513126985546,"score_spread":0.2505989355375312,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2528254911","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.004311263,0.00050180196,0.98616284,0.00043416844,0.000057317553,0.0005835656,0.0005562446,0.0030344983,0.0043582115],"genre_scores_gemma":[0.046686474,0.000680533,0.94814974,0.00009455795,0.000036532605,0.00090184354,0.0012167557,0.00013683151,0.0020967189],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9969002,0.0012802433,0.000379551,0.00022462831,0.0011217683,0.00009369404],"domain_scores_gemma":[0.9971437,0.0015320271,0.00023755139,0.00018300561,0.0007964848,0.00010721483],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0050920798,0.00085327536,0.0007591441,0.0019447893,0.0008444046,0.002222692,0.0013566434,0.00084861106,0.0066423463],"category_scores_gemma":[0.0055828732,0.00052517396,0.001124427,0.0024108135,0.00051648344,0.0013979297,0.0023169331,0.0017066183,0.0017016578],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003290766,0.00029138505,0.0022913527,0.0020053328,0.0002646349,0.00040086044,0.0013966188,0.29063955,0.0142575465,0.062319126,0.0227389,0.6030656],"study_design_scores_gemma":[0.00018997242,0.0002744249,0.0016766861,0.0008740752,0.00013132315,0.00017158518,0.0005847005,0.81711435,0.007146377,0.05576212,0.11595233,0.00012209243],"about_ca_topic_score_codex":0.0044197063,"about_ca_topic_score_gemma":0.004285025,"teacher_disagreement_score":0.0066423463,"about_ca_system_score_codex":0.0013479526,"about_ca_system_score_gemma":0.0042574164,"threshold_uncertainty_score":0.026929855},"labels":[],"label_agreement":null},{"id":"W2530256457","doi":"10.22260/isarc2016/0056","title":"Simulation of HVAC Local Control Based on Occupants Locations and Preferences","year":2016,"lang":"en","type":"article","venue":"Proceedings of the ... ISARC","topic":"Elevator Systems and Control","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"","keywords":"HVAC; Computer science; Control (management); Environmental science; Automotive engineering; Engineering; Artificial intelligence; Air conditioning; Mechanical engineering","score_opus":0.009562882561575527,"score_gpt":0.20754826020657385,"score_spread":0.19798537764499832,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2530256457","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9482013,0.0000828493,0.039849002,0.000085827276,0.00003743774,0.00008403064,0.0002960616,0.0002977154,0.011065716],"genre_scores_gemma":[0.99631256,0.00002987606,0.002112924,0.0000077831855,0.000001977709,0.00003778684,0.00006953484,0.000008670814,0.001418805],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998349,0.000042533393,0.000007404247,0.000023761568,0.00003557236,0.000055849137],"domain_scores_gemma":[0.9995485,0.00024278475,0.000044611512,0.000033898537,0.00008532517,0.000044896315],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00028309386,0.00043389716,0.0004366419,0.0002694496,0.00037349196,0.00051485375,0.0006574603,0.0005231086,0.0041440823],"category_scores_gemma":[0.0007121243,0.00019430021,0.00045851042,0.00021997247,0.00040593327,0.00026340352,0.0004714779,0.00043012635,0.00016899144],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008367276,0.00003823701,0.0011551407,0.000016333932,0.0000080930495,0.000033392163,0.000037651742,0.9956157,0.0010302665,0.00039565418,0.00009083511,0.0014950585],"study_design_scores_gemma":[0.000018292554,0.000055476776,0.0006590406,0.0000026472242,0.0000065661675,0.0000060100447,0.000029072366,0.99824893,0.0007299055,0.00010122336,0.0001390016,0.000003853],"about_ca_topic_score_codex":0.024257889,"about_ca_topic_score_gemma":0.0134463785,"teacher_disagreement_score":0.024257889,"about_ca_system_score_codex":0.0005901412,"about_ca_system_score_gemma":0.0006200316,"threshold_uncertainty_score":0.04823339},"labels":[],"label_agreement":null},{"id":"W2530398389","doi":"10.22260/isarc2016/0032","title":"Ergonomic Assessment of Residential Construction Tasks Using System Dynamics","year":2016,"lang":"en","type":"article","venue":"Proceedings of the ... ISARC","topic":"Occupational Health and Safety Research","field":"Health Professions","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta; Concordia University","funders":"","keywords":"Human factors and ergonomics; Work (physics); Task (project management); Download; Computer science; Engineering; Poison control; Medicine; Systems engineering; Environmental health; Mechanical engineering; World Wide Web","score_opus":0.053224909013205764,"score_gpt":0.4287651968237589,"score_spread":0.37554028781055315,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2530398389","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.64977485,0.00029637554,0.3402316,0.00014835257,0.000021585343,0.00031673245,0.00050147914,0.00031828083,0.008390835],"genre_scores_gemma":[0.9863799,0.00018909713,0.012492928,0.0000057258453,0.0000035550413,0.00011699973,0.0001399461,0.0000071656327,0.0006646593],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99962103,0.00016615196,0.000030299123,0.000043301523,0.0001103474,0.00002882996],"domain_scores_gemma":[0.9995054,0.00031053612,0.000065532404,0.000022550104,0.000082016806,0.000013950657],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005458203,0.0006757189,0.00037016085,0.0011816657,0.00031545555,0.0008997743,0.00030483032,0.00049210544,0.0011769084],"category_scores_gemma":[0.0012192403,0.000215255,0.00066672394,0.0006357557,0.00024812054,0.0004790266,0.0006579038,0.00018392727,0.0001292916],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012234678,0.00015097152,0.025437616,0.0002629535,0.00010906288,0.00015848847,0.00044999036,0.932273,0.008643045,0.0020531411,0.00021167852,0.030127764],"study_design_scores_gemma":[0.000010906043,0.00022345685,0.012635298,0.00003354566,0.000030678308,0.000039656523,0.00027581316,0.98346776,0.0013934543,0.0011981333,0.0006709302,0.000020326612],"about_ca_topic_score_codex":0.008823143,"about_ca_topic_score_gemma":0.004998071,"teacher_disagreement_score":0.008823143,"about_ca_system_score_codex":0.0004642655,"about_ca_system_score_gemma":0.00058384665,"threshold_uncertainty_score":0.017543614},"labels":[],"label_agreement":null},{"id":"W2530487692","doi":"10.22260/isarc2016/0044","title":"Automated Removal of Planar Clutter from 3D Point Clouds for Improving Industrial Object Recognition","year":2016,"lang":"en","type":"article","venue":"Proceedings of the ... ISARC","topic":"3D Surveying and Cultural Heritage","field":"Earth and Planetary Sciences","cited_by":22,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Point cloud; Computer science; Clutter; Artificial intelligence; Computer vision; Object (grammar); Cluster analysis; Point (geometry); Computer graphics (images); Radar; Mathematics","score_opus":0.037935014940553714,"score_gpt":0.21865265951072113,"score_spread":0.18071764457016742,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2530487692","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.01805399,0.00031451078,0.9747897,0.00007727239,0.00004539283,0.00009217404,0.00024392163,0.0055742525,0.000808827],"genre_scores_gemma":[0.173575,0.00084938406,0.8216439,0.00010248298,0.00005159762,0.00014556464,0.0017647446,0.000615114,0.0012522951],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9987331,0.000084319865,0.00005118972,0.00016327947,0.0007834739,0.00018463966],"domain_scores_gemma":[0.99900097,0.00024033512,0.00011065748,0.00019164807,0.00040595967,0.000050481678],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005917447,0.0018397411,0.0016497957,0.0038248796,0.00051114365,0.0019126157,0.0015434979,0.00083408906,0.0023983023],"category_scores_gemma":[0.0018569706,0.00079721975,0.0014230914,0.0029369856,0.0006394437,0.0012129286,0.002545295,0.001389358,0.0037224633],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00016171338,0.00017817268,0.0033901995,0.00023571965,0.00009888688,0.00028866273,0.00027458963,0.049302872,0.18935438,0.0024316916,0.0072381487,0.7470449],"study_design_scores_gemma":[0.000018519615,0.00010162327,0.0064479546,0.00005694122,0.000047024707,0.000430892,0.00024352201,0.88432074,0.09692637,0.0038148928,0.0075217662,0.00006976843],"about_ca_topic_score_codex":0.0070446166,"about_ca_topic_score_gemma":0.008939569,"teacher_disagreement_score":0.0070446166,"about_ca_system_score_codex":0.00055462687,"about_ca_system_score_gemma":0.0012188635,"threshold_uncertainty_score":0.014007211},"labels":[],"label_agreement":null},{"id":"W2551521218","doi":"10.22260/isarc2016/0046","title":"Applying the Concept of Selective Assembly to Modular Construction to Mitigate Impacts of Component Variability","year":2016,"lang":"en","type":"article","venue":"Proceedings of the ... ISARC","topic":"Manufacturing Process and Optimization","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Modular design; Rework; Component (thermodynamics); Computer science; Modular construction; Process (computing); Manufacturing engineering; Standardization; Systems engineering; Software engineering; Engineering; Embedded system; Operating system","score_opus":0.006301771382016061,"score_gpt":0.20078752965480356,"score_spread":0.1944857582727875,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2551521218","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.035180826,0.000105057145,0.96145034,0.00005208325,0.000013802634,0.000025376981,0.000008091817,0.0001935264,0.0029708368],"genre_scores_gemma":[0.64470536,0.00018438793,0.35336557,0.00006694367,0.000029128452,0.00007836875,0.000028532111,0.00012115369,0.0014206351],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99943525,0.00012057615,0.000021889906,0.000091546935,0.00026613302,0.00006457251],"domain_scores_gemma":[0.9990501,0.0003387955,0.00022794036,0.00023234631,0.00011874051,0.00003205885],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007598831,0.00052981067,0.0003607164,0.00063335354,0.00046681607,0.00048884517,0.0008103919,0.00037040265,0.0011126546],"category_scores_gemma":[0.0012812103,0.00030899252,0.00054409733,0.00043033288,0.0011201613,0.00074812135,0.0013867439,0.0005543293,0.00023030813],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00014910985,0.000101383324,0.0041963854,0.0002595684,0.00010261842,0.0005910945,0.0005337561,0.4805792,0.2244224,0.09193441,0.00093222415,0.19619776],"study_design_scores_gemma":[0.000030617568,0.0008448676,0.0038717857,0.00004319124,0.00010706698,0.0013228355,0.00015164293,0.80519766,0.12763059,0.040094066,0.020650037,0.00005569414],"about_ca_topic_score_codex":0.0004338318,"about_ca_topic_score_gemma":0.0010068829,"teacher_disagreement_score":0.0011126546,"about_ca_system_score_codex":0.00029870422,"about_ca_system_score_gemma":0.000530041,"threshold_uncertainty_score":0.004018724},"labels":[],"label_agreement":null},{"id":"W2553256049","doi":"10.22260/isarc2016/0045","title":"Arbitrary 3D Object Extraction from Cluttered Laser Scans Using Local Features","year":2016,"lang":"en","type":"article","venue":"Proceedings of the ... ISARC","topic":"3D Surveying and Cultural Heritage","field":"Earth and Planetary Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"RANSAC; Computer science; Point cloud; Artificial intelligence; Computer vision; Hough transform; Feature extraction; Laser scanning; Object detection; Object (grammar); Set (abstract data type); Pattern recognition (psychology); Image (mathematics); Laser","score_opus":0.019266537072488217,"score_gpt":0.2212007852675668,"score_spread":0.2019342481950786,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2553256049","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.035148624,0.00012421531,0.9618677,0.000025243431,0.000011160992,0.000059909395,0.00018543981,0.0016997573,0.00087792653],"genre_scores_gemma":[0.26150373,0.00023435132,0.7357145,0.000028707671,0.000016973341,0.0000893789,0.0009613197,0.00030070308,0.001150373],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99932146,0.000064102926,0.00003180854,0.0001591811,0.00034829945,0.00007511349],"domain_scores_gemma":[0.99945337,0.00012039092,0.000090709334,0.00017964252,0.00013566078,0.000020202539],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00043298217,0.0007560988,0.00077267113,0.0028278653,0.00041545555,0.0011378364,0.00079374685,0.00057314086,0.0013769141],"category_scores_gemma":[0.0010782497,0.0004350728,0.00095166214,0.0021481784,0.0005292005,0.0012213361,0.0013096556,0.00046018657,0.0012247302],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00014007986,0.0000738707,0.0045250645,0.0002385226,0.00010174993,0.00027848987,0.0003050883,0.036399346,0.2239876,0.0025964365,0.0018666488,0.7294871],"study_design_scores_gemma":[0.000024309016,0.00029964076,0.030536436,0.000061739665,0.00011025133,0.0016043523,0.00048093748,0.63532245,0.30878732,0.00747903,0.015126239,0.00016738802],"about_ca_topic_score_codex":0.0022745521,"about_ca_topic_score_gemma":0.0039553414,"teacher_disagreement_score":0.0028278653,"about_ca_system_score_codex":0.00042703285,"about_ca_system_score_gemma":0.00074862165,"threshold_uncertainty_score":0.0046063066},"labels":[],"label_agreement":null},{"id":"W2586320484","doi":"10.22260/isarc2013/0035","title":"BIM for Facility Management: Design for Maintainability with BIM Tools","year":2013,"lang":"en","type":"article","venue":"Proceedings of the ... ISARC","topic":"BIM and Construction Integration","field":"Engineering","cited_by":11,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Maintainability; Facility management; Building information modeling; Software; Systems engineering; Computer science; Engineering management; Engineering; Software engineering; Operations management; Business; Operating system","score_opus":0.016923488167238484,"score_gpt":0.19768131257478844,"score_spread":0.18075782440754995,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2586320484","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0015725229,0.0008239388,0.9778566,0.000844034,0.00016567737,0.00021782737,0.00024604276,0.0015484195,0.016724931],"genre_scores_gemma":[0.034503765,0.0013438041,0.95309126,0.0002025581,0.000083315164,0.0006173236,0.0009736527,0.00080179056,0.008382381],"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99575174,0.0014498949,0.00035218257,0.00026719406,0.0019833418,0.00019563253],"domain_scores_gemma":[0.997431,0.00064303604,0.00019937327,0.00041705888,0.0011507986,0.00015879149],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0052045267,0.001138482,0.0006307037,0.003072605,0.0010489933,0.004841353,0.0033206441,0.0018222088,0.010120457],"category_scores_gemma":[0.0070481338,0.0011006084,0.001777443,0.0024534576,0.0019383683,0.003859715,0.003994873,0.0021939382,0.005105313],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000084981744,0.00011771214,0.0015301509,0.001654808,0.000119257675,0.00051647937,0.0022905425,0.0498519,0.011202681,0.41957486,0.042396285,0.47066033],"study_design_scores_gemma":[0.000040384886,0.00012752255,0.0011988966,0.0008338345,0.00010698149,0.0010058242,0.00075375295,0.08371616,0.0073101716,0.09687501,0.80792326,0.00010826248],"about_ca_topic_score_codex":0.002457971,"about_ca_topic_score_gemma":0.0018483477,"teacher_disagreement_score":0.010120457,"about_ca_system_score_codex":0.0013227636,"about_ca_system_score_gemma":0.0024020234,"threshold_uncertainty_score":0.033856273},"labels":[],"label_agreement":null},{"id":"W280876632","doi":"10.22260/isarc2013/0068","title":"Indoor Localization of RFID-Equipped Movable Assets Using Mobile Reader Based on Reference Tags Clustering","year":2013,"lang":"en","type":"article","venue":"Proceedings of the ... ISARC","topic":"Indoor and Outdoor Localization Technologies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Computer science; Radio-frequency identification; Cluster analysis; Context (archaeology); Asset management; Matching (statistics); Asset (computer security); Real-time locating system; Download; Real-time computing; Database; World Wide Web; Computer security; Artificial intelligence","score_opus":0.017234469149130547,"score_gpt":0.2247575740716269,"score_spread":0.20752310492249634,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W280876632","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.06838243,0.00043517663,0.9271334,0.000049779585,0.000052464467,0.00003675483,0.00006133589,0.0013241877,0.0025244707],"genre_scores_gemma":[0.7149352,0.0005072466,0.27964318,0.000058058547,0.00004091994,0.00006148455,0.00033389492,0.00007756921,0.004342512],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99956924,0.000079021156,0.000018406212,0.00012919899,0.00016038917,0.00004376533],"domain_scores_gemma":[0.99969435,0.000059739,0.000059305545,0.00006804637,0.00010332531,0.000015181053],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00022575789,0.00064293604,0.00078330183,0.0012451765,0.0002556681,0.0006226989,0.0011055334,0.0006664917,0.0009385764],"category_scores_gemma":[0.0006271531,0.00025117985,0.00070731126,0.0016486878,0.00024177322,0.0007849734,0.0006705802,0.0002669786,0.0013294308],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00063529593,0.00016624296,0.007394519,0.00033846678,0.0002073931,0.0010470239,0.0004750577,0.1847534,0.2061935,0.0044094934,0.00268035,0.59169924],"study_design_scores_gemma":[0.000024072982,0.00036353403,0.006189223,0.000031531155,0.0001343986,0.0011852195,0.00022558481,0.9031302,0.08239376,0.0014349392,0.0047912775,0.000096277974],"about_ca_topic_score_codex":0.0014100429,"about_ca_topic_score_gemma":0.0013791485,"teacher_disagreement_score":0.0014100429,"about_ca_system_score_codex":0.00031777407,"about_ca_system_score_gemma":0.00021951362,"threshold_uncertainty_score":0.0031397939},"labels":[],"label_agreement":null},{"id":"W2896896777","doi":"10.22260/isarc2018/0170","title":"Utilization of Virtual Reality Visualizations on Heavy Mobile Crane Planning for Modular Construction","year":2018,"lang":"en","type":"article","venue":"Proceedings of the ... ISARC","topic":"BIM and Construction Integration","field":"Engineering","cited_by":37,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"PCL Construction (Canada)","funders":"","keywords":"Lift (data mining); Modular design; Virtual reality; Visualization; Computer science; Virtual machine; Process (computing); Human–computer interaction; Heavy equipment; Engineering; Construction engineering; Simulation; Automotive engineering","score_opus":0.029810655025678194,"score_gpt":0.2850040056296489,"score_spread":0.2551933506039707,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2896896777","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.15704957,0.00032000907,0.8240906,0.00019683344,0.00006674286,0.00012070297,0.00027598953,0.0038119382,0.014067677],"genre_scores_gemma":[0.7842883,0.0005676525,0.21216452,0.000025049907,0.000013551381,0.000091283546,0.00020986857,0.00020504901,0.002434677],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997938,0.00008141833,0.000008762633,0.000028804328,0.00006526574,0.000021783968],"domain_scores_gemma":[0.9997179,0.00013606706,0.000022782087,0.000055308305,0.000045658977,0.000022291873],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00030483032,0.00067790423,0.00028602415,0.00061595306,0.00023256107,0.00085842196,0.00051194476,0.00050983665,0.004571928],"category_scores_gemma":[0.00079922297,0.00041116378,0.0005629521,0.00040091897,0.00035827144,0.00055414706,0.0008907201,0.00037890617,0.0005311655],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00027546447,0.00026539812,0.002200575,0.0003885917,0.000047476242,0.0006348575,0.0012100607,0.730338,0.055205923,0.008169379,0.002341169,0.19892319],"study_design_scores_gemma":[0.00005141581,0.00031181145,0.0035391955,0.000087790155,0.000049311984,0.00034717505,0.00031640692,0.9566192,0.023579616,0.0020945726,0.012912486,0.00009096672],"about_ca_topic_score_codex":0.0023438793,"about_ca_topic_score_gemma":0.0028220734,"teacher_disagreement_score":0.004571928,"about_ca_system_score_codex":0.0001836425,"about_ca_system_score_gemma":0.00041783167,"threshold_uncertainty_score":0.015294552},"labels":[],"label_agreement":null},{"id":"W2897432083","doi":"10.22260/isarc2018/0124","title":"BIM-based Surface-Specific Solar Simulation of Buildings","year":2018,"lang":"en","type":"article","venue":"Proceedings of the ... ISARC","topic":"BIM and Construction Integration","field":"Engineering","cited_by":14,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Concordia University","funders":"","keywords":"Photovoltaic system; Photovoltaic mounting system; Architectural engineering; Building envelope; Computer science; Building-integrated photovoltaics; Solar energy; Building information modeling; Rooftop photovoltaic power station; Electricity generation; Environmental science; Engineering; Power (physics); Meteorology; Electrical engineering","score_opus":0.012807934224371448,"score_gpt":0.21198934416108395,"score_spread":0.1991814099367125,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2897432083","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.23911804,0.00044614833,0.70580125,0.0003961886,0.00017386176,0.00029194582,0.00447792,0.005486991,0.043807708],"genre_scores_gemma":[0.8703374,0.00031125318,0.12097692,0.00009679968,0.000021168284,0.0003517807,0.0026428227,0.0003313017,0.004930493],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99975866,0.00005828426,0.000013490664,0.000030288847,0.00009716197,0.000042149786],"domain_scores_gemma":[0.9995933,0.0002032464,0.000025842466,0.000039521383,0.00009120445,0.000046864152],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00041098782,0.00079602073,0.00093150407,0.00075926236,0.0005961813,0.0013414666,0.0013288528,0.001297484,0.005892001],"category_scores_gemma":[0.00095833064,0.00053519075,0.0012015862,0.0010424679,0.0005020136,0.0005513521,0.0011635881,0.00079187774,0.0008355022],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000017615803,0.000021892423,0.0004353644,0.000024235385,0.000008790275,0.00003216266,0.000021569402,0.9946683,0.00042447387,0.0009836258,0.00028682456,0.0030751764],"study_design_scores_gemma":[0.000003647881,0.0000031079417,0.00007523092,0.0000020370835,0.0000016197226,0.0000055450823,0.000008418382,0.9989374,0.00020614127,0.00031612412,0.00043817615,0.0000025944853],"about_ca_topic_score_codex":0.016824229,"about_ca_topic_score_gemma":0.016773462,"teacher_disagreement_score":0.016824229,"about_ca_system_score_codex":0.0008178564,"about_ca_system_score_gemma":0.0010423398,"threshold_uncertainty_score":0.03345257},"labels":[],"label_agreement":null},{"id":"W2953527213","doi":"10.22260/isarc2019/0129","title":"Using Serious Games in Virtual Reality for Automated Close Call and Contact Collision Analysis in Construction Safety","year":2019,"lang":"en","type":"article","venue":"Proceedings of the ... ISARC","topic":"Occupational Health and Safety Research","field":"Health Professions","cited_by":35,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Situation awareness; Computer science; Virtual reality; Hazard; Work (physics); Download; Augmented reality; Collision; Situational ethics; Human–computer interaction; Computer security; Engineering; World Wide Web","score_opus":0.0534408596817597,"score_gpt":0.4336747754564776,"score_spread":0.3802339157747179,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2953527213","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.2812099,0.0014636094,0.6875412,0.0006658156,0.00034077794,0.0014984125,0.00081510167,0.006436794,0.020028451],"genre_scores_gemma":[0.66009575,0.0011041246,0.32863972,0.00026596527,0.00008812987,0.0009944516,0.0007345988,0.00031998928,0.007757282],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9992422,0.00033159295,0.000035105877,0.00010418076,0.00020283116,0.00008404244],"domain_scores_gemma":[0.9991856,0.0004862891,0.000052996344,0.00005221543,0.00013285203,0.00009009085],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008750836,0.0010511942,0.0005219745,0.0009454992,0.00026656478,0.0017062658,0.0009794711,0.0007002962,0.007515922],"category_scores_gemma":[0.0025180697,0.0003418165,0.0007513905,0.0002993628,0.00039374502,0.0008302306,0.002206615,0.0006283446,0.0015537669],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0021072961,0.0018673303,0.013276273,0.0016316375,0.00032446536,0.0008060431,0.0037559022,0.03445262,0.09263182,0.004281128,0.015679706,0.82918584],"study_design_scores_gemma":[0.0006335625,0.005912831,0.08315196,0.0012240348,0.0007637928,0.002736468,0.004331109,0.72700095,0.07541197,0.0136362,0.08461378,0.00058336847],"about_ca_topic_score_codex":0.0013947218,"about_ca_topic_score_gemma":0.0019376221,"teacher_disagreement_score":0.007515922,"about_ca_system_score_codex":0.00027170972,"about_ca_system_score_gemma":0.00043398363,"threshold_uncertainty_score":0.025143325},"labels":[],"label_agreement":null},{"id":"W2953571830","doi":"10.22260/isarc2019/0174","title":"3D Printing Architectural Freeform Elements: Challenges and Opportunities in Manufacturing for Industry 4.0","year":2019,"lang":"en","type":"article","venue":"Proceedings of the ... ISARC","topic":"Additive Manufacturing and 3D Printing Technologies","field":"Engineering","cited_by":28,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"3D printing; Digitization; Manufacturing engineering; Resource (disambiguation); Manufacturing; Variety (cybernetics); Computer science; Emerging technologies; Engineering; Architectural engineering; Business; Telecommunications; Mechanical engineering","score_opus":0.032436457543854484,"score_gpt":0.22049304217009852,"score_spread":0.18805658462624403,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2953571830","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0050592013,0.41251102,0.039922662,0.050341345,0.012695018,0.00010602709,0.00024279518,0.0019043678,0.47721758],"genre_scores_gemma":[0.04042702,0.48667666,0.043231715,0.0062185414,0.0058850874,0.00014571469,0.00075640855,0.00087916595,0.41577962],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9982431,0.00019838386,0.00006850643,0.00013001327,0.0012007429,0.00015926278],"domain_scores_gemma":[0.9982401,0.000601954,0.00006782203,0.00014532756,0.0006727747,0.00027191703],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002210076,0.00094193954,0.00063194474,0.0015236367,0.0010943016,0.008341653,0.0014957486,0.003287836,0.04871423],"category_scores_gemma":[0.0015628767,0.0006000109,0.0007315909,0.0025323022,0.0029673215,0.0072662923,0.0035781665,0.0035101306,0.022905976],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000051093644,0.000075663615,0.00029922204,0.0015322819,0.000013453893,0.00020786005,0.0005352845,0.0019186778,0.004447434,0.118242286,0.24878709,0.6238896],"study_design_scores_gemma":[0.0000028241914,0.000028363227,0.00023997512,0.0005972551,0.0000032592786,0.00028898226,0.00033082807,0.0010439301,0.0008361677,0.01653822,0.9800637,0.000026485257],"about_ca_topic_score_codex":0.0023233183,"about_ca_topic_score_gemma":0.0029945169,"teacher_disagreement_score":0.04871423,"about_ca_system_score_codex":0.0022861082,"about_ca_system_score_gemma":0.0019757731,"threshold_uncertainty_score":0.1629653},"labels":[],"label_agreement":null},{"id":"W2953662108","doi":"10.22260/isarc2019/0060","title":"Text Detection and Classification of Construction Documents","year":2019,"lang":"en","type":"article","venue":"Proceedings of the ... ISARC","topic":"BIM and Construction Integration","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Computer science; Optical character recognition; Information retrieval; Set (abstract data type); Bounding overwatch; Task (project management); Minimum bounding box; Artificial intelligence; Class (philosophy); Character (mathematics); Document processing; Download; Deep learning; Document management system; Data set; Control (management); Natural language processing; Image (mathematics); World Wide Web","score_opus":0.0059783581220688164,"score_gpt":0.1911489674612615,"score_spread":0.1851706093391927,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2953662108","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.84107316,0.00614418,0.09292684,0.0008793135,0.00041678542,0.000891416,0.035098042,0.010188487,0.0123817455],"genre_scores_gemma":[0.7441829,0.0013829342,0.18044007,0.00011209221,0.00017018535,0.00051740237,0.062355403,0.0002398886,0.0105990935],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9988747,0.000109451794,0.00013361141,0.00028044893,0.00046699055,0.00013478115],"domain_scores_gemma":[0.99797875,0.0005848995,0.00032849275,0.00021274883,0.00078664324,0.00010847634],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00057906174,0.00084362255,0.00062225154,0.006203923,0.000440955,0.0010782742,0.00081588596,0.0008827914,0.0016835884],"category_scores_gemma":[0.0027415936,0.00016011592,0.00067691325,0.0030676501,0.0003177471,0.0008875115,0.0006012429,0.0005977084,0.0025756878],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00069709733,0.00040857,0.02678534,0.0009198394,0.00008516471,0.00071832584,0.00032115733,0.007854677,0.04036494,0.000662526,0.026799342,0.894383],"study_design_scores_gemma":[0.000121342564,0.0006586679,0.1756923,0.00041617404,0.00018768024,0.002646853,0.002003676,0.51926273,0.2229759,0.002525126,0.0733788,0.00013075405],"about_ca_topic_score_codex":0.00531645,"about_ca_topic_score_gemma":0.0054259477,"teacher_disagreement_score":0.006203923,"about_ca_system_score_codex":0.00073012646,"about_ca_system_score_gemma":0.00065630814,"threshold_uncertainty_score":0.010571003},"labels":[],"label_agreement":null},{"id":"W2953665735","doi":"10.22260/isarc2019/0152","title":"A Comparison of TLS-based and ALS-based Techniques for Concrete Floor Waviness Assessment","year":2019,"lang":"en","type":"article","venue":"Proceedings of the ... ISARC","topic":"3D Surveying and Cultural Heritage","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Waviness; Point cloud; Computer science; Wavelet transform; Laser scanning; Point (geometry); Wavelet; Remote sensing; Laser; Artificial intelligence; Engineering; Geology; Mechanical engineering; Optics; Mathematics","score_opus":0.025375404692252808,"score_gpt":0.29173847947264864,"score_spread":0.26636307478039584,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2953665735","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.34958905,0.0044227103,0.6258926,0.00025706965,0.00030489473,0.00033954703,0.001208417,0.0032619047,0.014723831],"genre_scores_gemma":[0.62649477,0.0022298212,0.36537027,0.00006136346,0.00006963458,0.000117197524,0.0011348156,0.0002358432,0.0042862836],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99819154,0.00026618358,0.00010773051,0.00018540231,0.0011612879,0.00008797539],"domain_scores_gemma":[0.99770606,0.00044531148,0.00020223507,0.00017283224,0.0014004231,0.00007309584],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0017591135,0.0008290179,0.0006025002,0.004457351,0.00026017553,0.0011208795,0.0007275465,0.00069454004,0.0029659225],"category_scores_gemma":[0.0027501932,0.00034744997,0.0009681415,0.0030078057,0.00031175063,0.0012902213,0.00089017284,0.00046973577,0.0016851007],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0008882011,0.0002393743,0.02304882,0.0010744466,0.00026071208,0.00018913292,0.00049363513,0.021240348,0.15504272,0.0012212712,0.002285041,0.79401624],"study_design_scores_gemma":[0.00013481658,0.0013251997,0.13646065,0.00042114136,0.0005394392,0.0014003828,0.0024854168,0.6568852,0.1749685,0.0021864744,0.022837251,0.0003555501],"about_ca_topic_score_codex":0.0023735939,"about_ca_topic_score_gemma":0.004410574,"teacher_disagreement_score":0.004457351,"about_ca_system_score_codex":0.00038318563,"about_ca_system_score_gemma":0.0005194145,"threshold_uncertainty_score":0.009922028},"labels":[],"label_agreement":null},{"id":"W2953682657","doi":"10.22260/isarc2019/0016","title":"Implementation Framework for BIM Adoption and Project Management in Public Organizations","year":2019,"lang":"en","type":"article","venue":"Proceedings of the ... ISARC","topic":"BIM and Construction Integration","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Building information modeling; Government (linguistics); Corporate governance; Process management; Software deployment; Business; Public sector; Order (exchange); Knowledge management; Computer science; Operations management; Engineering; Economics; Finance","score_opus":0.011916885738890198,"score_gpt":0.24777421017786458,"score_spread":0.2358573244389744,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2953682657","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.010102689,0.0005256035,0.9255283,0.003514822,0.00010026297,0.0024048318,0.00037921037,0.0010838299,0.056360427],"genre_scores_gemma":[0.11699059,0.00049274217,0.87043715,0.00025951996,0.000038918028,0.0034502307,0.0009343316,0.00014217172,0.0072543267],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9823172,0.01021737,0.0018766479,0.0011631493,0.0032228262,0.0012027625],"domain_scores_gemma":[0.99149406,0.004124782,0.0007553455,0.0007408732,0.0024559177,0.0004290686],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.019889705,0.0011631015,0.0007405106,0.006811386,0.0024468843,0.0072776764,0.0030949987,0.0038303977,0.009324625],"category_scores_gemma":[0.013275486,0.00095179817,0.001929685,0.00406039,0.0036870383,0.005934551,0.0048993644,0.0030209508,0.0021073772],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000034246477,0.00024497608,0.0017310557,0.00035714926,0.000031689488,0.00030589028,0.0039856597,0.009971608,0.0010842477,0.9130131,0.0033335532,0.065906845],"study_design_scores_gemma":[0.00017451207,0.0004481732,0.0058267745,0.0033947283,0.00016957542,0.0010721904,0.01148889,0.16438597,0.0035963797,0.42063513,0.38858572,0.00022191706],"about_ca_topic_score_codex":0.012109783,"about_ca_topic_score_gemma":0.009629649,"teacher_disagreement_score":0.019889705,"about_ca_system_score_codex":0.0073352987,"about_ca_system_score_gemma":0.013658981,"threshold_uncertainty_score":0.10518801},"labels":[],"label_agreement":null},{"id":"W2953803669","doi":"10.22260/isarc2019/0020","title":"Cartesian Points Visualization in Game Simulation for Analyzing Geometric Representations of AEC Objects in IFC","year":2019,"lang":"en","type":"article","venue":"Proceedings of the ... ISARC","topic":"Manufacturing Process and Optimization","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Visualization; Computer science; Building information modeling; Schema (genetic algorithms); Data visualization; Representation (politics); Human–computer interaction; Software engineering; Information retrieval; Artificial intelligence; Engineering","score_opus":0.010352170524722983,"score_gpt":0.2554196075677496,"score_spread":0.24506743704302664,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2953803669","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.14837393,0.0003763975,0.819731,0.00036999487,0.00014466632,0.00050334923,0.0016282182,0.011619883,0.017252564],"genre_scores_gemma":[0.57184213,0.00049013353,0.41795,0.000108339824,0.00002670342,0.0005764087,0.0021366698,0.0016530859,0.0052164276],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9996723,0.000086210086,0.000019881716,0.000055504246,0.00011610608,0.000050050934],"domain_scores_gemma":[0.9994325,0.00026930374,0.000028446082,0.000062129824,0.00013961864,0.00006787398],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005760984,0.0012357262,0.0005989701,0.0022318116,0.0005240371,0.0022974561,0.0009789113,0.0008409002,0.012535821],"category_scores_gemma":[0.0017008455,0.00045903103,0.001249278,0.0009433688,0.00053283107,0.0010687048,0.0021510373,0.00083185744,0.0013706929],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0017105162,0.0007691955,0.028128274,0.0021446547,0.0003774441,0.0029588954,0.015253954,0.3170526,0.12512971,0.05327385,0.032193262,0.42100757],"study_design_scores_gemma":[0.00009245115,0.00013289586,0.007821625,0.00020731994,0.000075648306,0.0003803393,0.0017031374,0.9301779,0.020755759,0.008614486,0.0298993,0.00013913958],"about_ca_topic_score_codex":0.006601829,"about_ca_topic_score_gemma":0.006168331,"teacher_disagreement_score":0.012535821,"about_ca_system_score_codex":0.00051957817,"about_ca_system_score_gemma":0.00072946266,"threshold_uncertainty_score":0.041936457},"labels":[],"label_agreement":null},{"id":"W2953823374","doi":"10.22260/isarc2019/0089","title":"Design, Modelling and Simulation of Novel Hexapod-Shaped Passive Damping System for Coupling Cable Robot and End Effector in Curtain Wall Module Installation Application","year":2019,"lang":"en","type":"article","venue":"Proceedings of the ... ISARC","topic":"Innovations in Concrete and Construction Materials","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Hexapod; Modular design; Robot; Engineering; Robot end effector; Stiffness; Robotics; Coupling (piping); Simulation; Computer science; Mechanical engineering; Structural engineering; Artificial intelligence","score_opus":0.019242938319228835,"score_gpt":0.22617056156668255,"score_spread":0.20692762324745373,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2953823374","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.338698,0.0010811476,0.5985157,0.00040652158,0.0002665548,0.00042372377,0.00057754345,0.0028507547,0.057180014],"genre_scores_gemma":[0.9592058,0.00025401116,0.02906512,0.000035233264,0.0000075738535,0.00025382082,0.00018128587,0.00008729835,0.010909788],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997863,0.000039122402,0.000009596029,0.000029465198,0.00010153204,0.000033888755],"domain_scores_gemma":[0.999762,0.00007684676,0.00003920504,0.000030184938,0.00006273508,0.000029127708],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003326766,0.0006579226,0.0006360803,0.00034627554,0.00048893114,0.000784238,0.0011659908,0.0015092554,0.0072612236],"category_scores_gemma":[0.0003739227,0.00043986642,0.00083867804,0.00022376173,0.00048306357,0.00042859968,0.0005738717,0.00040926322,0.0009743074],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00020771334,0.000067390225,0.0014677326,0.00030382152,0.000037263406,0.00048539496,0.00024753905,0.95616657,0.026084255,0.0016139357,0.00089408417,0.012424275],"study_design_scores_gemma":[0.00004317571,0.00021682912,0.0008068408,0.000023185126,0.000022239918,0.00008408367,0.0000903967,0.989613,0.0052295127,0.00030111897,0.0035544767,0.000015106688],"about_ca_topic_score_codex":0.0036611648,"about_ca_topic_score_gemma":0.0023089654,"teacher_disagreement_score":0.0072612236,"about_ca_system_score_codex":0.00040093847,"about_ca_system_score_gemma":0.0006497688,"threshold_uncertainty_score":0.024291217},"labels":[],"label_agreement":null},{"id":"W2953828421","doi":"10.22260/isarc2019/0104","title":"Using Scan-to-BIM Techniques to Find Optimal Modeling Effort; A Methodology for Adaptive Reuse Projects","year":2019,"lang":"en","type":"article","venue":"Proceedings of the ... ISARC","topic":"3D Surveying and Cultural Heritage","field":"Earth and Planetary Sciences","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Reuse; Computer science; Building information modeling; Adaptive reuse; Purchasing; Download; Software engineering; Engineering; Operations management; World Wide Web; Architectural engineering","score_opus":0.16250533039203302,"score_gpt":0.3131103182627661,"score_spread":0.15060498787073306,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2953828421","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.007925164,0.000062119245,0.990657,0.00005687355,0.000003647369,0.00011191321,0.000016597682,0.00011955449,0.0010470699],"genre_scores_gemma":[0.12814628,0.0001314233,0.87048954,0.000020878519,0.0000056379718,0.00036879425,0.00007556411,0.00008016372,0.0006818125],"study_design_codex":"simulation_or_modeling","study_design_gemma":"not_applicable","domain_scores_codex":[0.9969567,0.0010691432,0.0002020425,0.00034939975,0.0012269448,0.00019571318],"domain_scores_gemma":[0.9965842,0.0018753317,0.0004515026,0.00019789823,0.0007891094,0.000102046244],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003955734,0.0015920814,0.0011843747,0.0041627106,0.0008225811,0.0022147947,0.002155887,0.0010935434,0.0031883265],"category_scores_gemma":[0.008347707,0.0013691572,0.0019046239,0.0025530476,0.0011732443,0.0024148868,0.0026144548,0.0010924132,0.00047646],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009480633,0.0002872044,0.005312912,0.0004372064,0.00017080086,0.0003948799,0.0010644648,0.62301004,0.010559354,0.04626459,0.0008973191,0.31150648],"study_design_scores_gemma":[0.000018770295,0.00012753055,0.0006278957,0.000059266284,0.0000495161,0.00008719119,0.0003618535,0.9809137,0.0033246437,0.012060898,0.0023425634,0.000026220969],"about_ca_topic_score_codex":0.0041704443,"about_ca_topic_score_gemma":0.0045267213,"teacher_disagreement_score":0.0041704443,"about_ca_system_score_codex":0.0014207832,"about_ca_system_score_gemma":0.0026124995,"threshold_uncertainty_score":0.020920157},"labels":[],"label_agreement":null},{"id":"W2953831440","doi":"10.22260/isarc2019/0167","title":"Development of Classification Model for the Level of Bid Price Volatility of Public Construction Project Focused on Analysis of Pre-Bid Clarification Document","year":2019,"lang":"en","type":"article","venue":"Proceedings of the ... ISARC","topic":"Advanced Statistical Modeling Techniques","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Volatility (finance); Computer science; Bid price; Econometrics; Business; Economics; Finance","score_opus":0.16353714710308193,"score_gpt":0.34309741111362213,"score_spread":0.1795602640105402,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2953831440","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.71709603,0.00030700656,0.2712191,0.0009056279,0.00010961803,0.00040323878,0.0015199797,0.000750327,0.00768904],"genre_scores_gemma":[0.9752195,0.000103087805,0.0207995,0.00003159763,0.00002061359,0.00018997383,0.0013052913,0.00002504599,0.0023054124],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9980769,0.00035413267,0.00018972022,0.00055616006,0.0005708208,0.00025215858],"domain_scores_gemma":[0.99362457,0.003366802,0.00084861676,0.00033016835,0.0016287793,0.00020112078],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0030543155,0.00089052063,0.00073767884,0.0024075864,0.00049584,0.003018166,0.0015575234,0.0011360386,0.0024533279],"category_scores_gemma":[0.009343793,0.0003693582,0.0015844821,0.0013862171,0.00041352006,0.0019853709,0.00096615666,0.0017087904,0.0006998355],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00067311176,0.00070677255,0.3883977,0.00015396399,0.00029820937,0.00032509243,0.00087257836,0.42490363,0.0030173925,0.009058414,0.0046549337,0.16693829],"study_design_scores_gemma":[0.0000056211675,0.000048190963,0.01821371,0.000012586958,0.000020659734,0.000024753834,0.0001239331,0.9793228,0.00047623093,0.0014138867,0.00031955258,0.000018035591],"about_ca_topic_score_codex":0.017615708,"about_ca_topic_score_gemma":0.00843059,"teacher_disagreement_score":0.017615708,"about_ca_system_score_codex":0.0021372542,"about_ca_system_score_gemma":0.001299438,"threshold_uncertainty_score":0.03502637},"labels":[],"label_agreement":null},{"id":"W2953859525","doi":"10.22260/isarc2019/0007","title":"BIM-based Takt-Time Planning and Takt Control: Requirements for Digital Construction Process Management","year":2019,"lang":"en","type":"article","venue":"Proceedings of the ... ISARC","topic":"BIM and Construction Integration","field":"Engineering","cited_by":15,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Lean construction; Process management; Process (computing); Engineering; Building information modeling; Production planning; Computer science; Manufacturing engineering; Systems engineering; Construction engineering; Operations management; Production (economics); Construction industry","score_opus":0.0061414955240490345,"score_gpt":0.2037670396461865,"score_spread":0.19762554412213748,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2953859525","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0018379271,0.0013607565,0.9801906,0.001334007,0.00020234578,0.00034518202,0.00010916391,0.00059413945,0.014025966],"genre_scores_gemma":[0.13019206,0.0040795417,0.8549534,0.00046504705,0.0003477746,0.0015798614,0.00085068215,0.00050583173,0.0070257415],"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.991083,0.0012991563,0.00068949,0.000501999,0.0060775224,0.00034876566],"domain_scores_gemma":[0.98957753,0.0040899776,0.0007387046,0.0011861628,0.0039465884,0.00046109082],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0068951114,0.0014604792,0.0020177471,0.0021066864,0.0012263433,0.0066226325,0.0033128478,0.002680194,0.0053815804],"category_scores_gemma":[0.015703104,0.001042758,0.0015988126,0.0022874908,0.0025706347,0.005980713,0.0041009574,0.0034725184,0.0026347146],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001910175,0.00021115941,0.0007442025,0.0012029884,0.000059471025,0.0005808765,0.0007118167,0.30436233,0.0112195285,0.28445333,0.010297013,0.3859663],"study_design_scores_gemma":[0.0000810035,0.00022086753,0.00087810017,0.00064302026,0.000074014955,0.0008453076,0.00053539895,0.73874354,0.006149313,0.12623224,0.12538253,0.00021465479],"about_ca_topic_score_codex":0.004588335,"about_ca_topic_score_gemma":0.0021167828,"teacher_disagreement_score":0.0068951114,"about_ca_system_score_codex":0.0019281831,"about_ca_system_score_gemma":0.0042866627,"threshold_uncertainty_score":0.036465287},"labels":[],"label_agreement":null},{"id":"W2953892960","doi":"10.22260/isarc2019/0133","title":"A Real-time Path-Planning Model for Building Evacuations","year":2019,"lang":"en","type":"article","venue":"Proceedings of the ... ISARC","topic":"Evacuation and Crowd Dynamics","field":"Engineering","cited_by":11,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Emergency evacuation; Computer science; Dijkstra's algorithm; Path (computing); Motion planning; SAFER; Hazard; Operations research; Emergency management; Shortest path problem; Graph; Engineering; Computer security; Artificial intelligence; Geography; Robot","score_opus":0.012315516163501915,"score_gpt":0.24340334952275045,"score_spread":0.23108783335924854,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2953892960","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.020947922,0.00059098756,0.9622606,0.0006239912,0.0001137896,0.00018262446,0.0010397835,0.00074682187,0.013493483],"genre_scores_gemma":[0.7791884,0.001584219,0.192055,0.00015407607,0.000095762676,0.00096568844,0.0016399053,0.00022738612,0.024089588],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999605,0.00009914125,0.000024132738,0.00010019803,0.00009911658,0.0000723202],"domain_scores_gemma":[0.99941134,0.0003043113,0.000081858205,0.000022507638,0.00013372641,0.000046316007],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007485802,0.0011866592,0.0009793973,0.0009476366,0.0007585659,0.0018134321,0.0023893816,0.0019090425,0.008195232],"category_scores_gemma":[0.0016189922,0.0007317254,0.001428628,0.0011420866,0.00075360446,0.0013395866,0.0010936648,0.0014855908,0.0011684196],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000012730795,0.000011056931,0.00011088722,0.000020700274,0.000006549166,0.00004201754,0.000024357134,0.9931189,0.00016034751,0.0042819055,0.00025361287,0.0019570342],"study_design_scores_gemma":[0.000004949007,0.000008389531,0.000029532868,0.000004547358,0.000005275058,0.00000887311,0.000007350555,0.99801195,0.000047590664,0.0013119963,0.00055552775,0.0000040718774],"about_ca_topic_score_codex":0.037307147,"about_ca_topic_score_gemma":0.020898558,"teacher_disagreement_score":0.037307147,"about_ca_system_score_codex":0.0020140104,"about_ca_system_score_gemma":0.0023842712,"threshold_uncertainty_score":0.07418001},"labels":[],"label_agreement":null},{"id":"W2953928417","doi":"10.22260/isarc2019/0134","title":"Development of an Earthmoving Machinery Autonomous Excavator Development Platform","year":2019,"lang":"en","type":"article","venue":"Proceedings of the ... ISARC","topic":"Hydraulic and Pneumatic Systems","field":"Engineering","cited_by":15,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Excavator; Automation; Software; Computer science; Software engineering; Engineering; Manufacturing engineering; Operating system; Mechanical engineering","score_opus":0.011550265160584328,"score_gpt":0.19683267408650754,"score_spread":0.1852824089259232,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2953928417","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.11310729,0.00028022146,0.83666396,0.00022721721,0.00014649273,0.0018241022,0.0008718894,0.027558792,0.019320007],"genre_scores_gemma":[0.2806652,0.00046377437,0.6837159,0.00014177422,0.000038804254,0.0016565407,0.0038297095,0.0023097084,0.027178658],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99957055,0.000044326654,0.000026970478,0.000073742085,0.00021805822,0.00006643889],"domain_scores_gemma":[0.9995276,0.000065906905,0.00003418742,0.00007489113,0.00019641069,0.00010109084],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006733544,0.00054207287,0.0003714143,0.00059871643,0.0002259433,0.00060751865,0.0012266121,0.00043690353,0.0076146964],"category_scores_gemma":[0.0007997383,0.00034438993,0.00041258134,0.00020615163,0.00020222699,0.0006773185,0.0011791061,0.00065938995,0.004305267],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0008522573,0.00062651583,0.0061491206,0.0008882228,0.00012282019,0.0017494692,0.00073696324,0.040254965,0.41048253,0.008288876,0.018437246,0.5114111],"study_design_scores_gemma":[0.00071438355,0.0026847427,0.012691602,0.00024216298,0.00014185692,0.0024887668,0.00025822257,0.29677415,0.3702819,0.0029132394,0.31060734,0.00020159145],"about_ca_topic_score_codex":0.0007708145,"about_ca_topic_score_gemma":0.00050121587,"teacher_disagreement_score":0.0076146964,"about_ca_system_score_codex":0.0002166533,"about_ca_system_score_gemma":0.0012900009,"threshold_uncertainty_score":0.025473714},"labels":[],"label_agreement":null},{"id":"W2953949249","doi":"10.22260/isarc2019/0044","title":"Automatic Classification of Design Conflicts Using Rule-based Reasoning and Machine LearningAn Example of Structural Clashes Against the MEP Model","year":2019,"lang":"en","type":"article","venue":"Proceedings of the ... ISARC","topic":"Product Development and Customization","field":"Business, Management and Accounting","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Download; Computer science; Machine learning; Artificial intelligence; Process (computing); Software; Task (project management); Software engineering; World Wide Web; Operating system; Systems engineering; Engineering","score_opus":0.04445482018926536,"score_gpt":0.2236294923329807,"score_spread":0.17917467214371535,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2953949249","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.36116672,0.0009502235,0.614892,0.0010908672,0.00020694724,0.00060905016,0.0015492539,0.00946042,0.010074489],"genre_scores_gemma":[0.527392,0.00020313088,0.46767107,0.00013486265,0.000028166034,0.00012672365,0.0018973331,0.00022318884,0.002323479],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9956052,0.0008037922,0.0004019511,0.00071096583,0.0022428464,0.00023530677],"domain_scores_gemma":[0.9868016,0.0075623253,0.0014129746,0.0015811953,0.0023678269,0.00027414365],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0027582217,0.0012112666,0.00095326145,0.0038043768,0.0009686097,0.001989541,0.0017362101,0.0016869787,0.0039875335],"category_scores_gemma":[0.011518145,0.0004533201,0.0011075384,0.0020017808,0.0010254884,0.0013944934,0.0011677658,0.0012103404,0.0009461214],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0013575456,0.00078240276,0.049246456,0.0008886774,0.00022223331,0.0050408524,0.0025678426,0.10367956,0.057482388,0.010806892,0.013039126,0.75488615],"study_design_scores_gemma":[0.00005127097,0.00017888178,0.009094114,0.0001843956,0.000079846686,0.0009898373,0.0006975106,0.941526,0.029049048,0.008974665,0.009105668,0.00006885723],"about_ca_topic_score_codex":0.004894589,"about_ca_topic_score_gemma":0.0062364135,"teacher_disagreement_score":0.004894589,"about_ca_system_score_codex":0.0010938112,"about_ca_system_score_gemma":0.0013672229,"threshold_uncertainty_score":0.014587045},"labels":[],"label_agreement":null},{"id":"W2953967953","doi":"10.22260/isarc2019/0137","title":"Simulating Wood-framing Wall Panels Production with Timed Coloured Petri Nets","year":2019,"lang":"en","type":"article","venue":"Proceedings of the ... ISARC","topic":"BIM and Construction Integration","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Framing (construction); Petri net; Computer science; Digitization; Building information modeling; Dataflow; Modular programming; Original equipment manufacturer; Context (archaeology); Compatibility (geochemistry); Systems engineering; Industrial engineering; Software engineering; Architectural engineering; Engineering; Programming language","score_opus":0.006493341614220795,"score_gpt":0.18416065318796065,"score_spread":0.17766731157373986,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2953967953","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.71260273,0.00020206154,0.27175018,0.00014840771,0.000124784,0.0002113243,0.00081443536,0.00085622026,0.013289827],"genre_scores_gemma":[0.9803805,0.00008110301,0.017374648,0.000013490113,0.000003832466,0.000092060705,0.00022213339,0.000032353382,0.0017998314],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99969375,0.0000994901,0.000016622422,0.00005495219,0.000069668036,0.000065594024],"domain_scores_gemma":[0.9985275,0.0011465163,0.00008092045,0.000050087678,0.000119633056,0.00007530957],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00070571253,0.0009131213,0.0004524131,0.0006334945,0.00041912298,0.0010795781,0.0008566595,0.0010583688,0.0033384173],"category_scores_gemma":[0.0017848706,0.00043816253,0.00095080613,0.00047772407,0.0007459725,0.00049438997,0.0006904316,0.00060811796,0.0002502025],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00002787078,0.000018912164,0.0004750801,0.000012399706,0.000004857671,0.000038998565,0.00002147964,0.99764204,0.00054165424,0.0004357907,0.000028560193,0.0007523683],"study_design_scores_gemma":[0.0000044500066,0.000011919516,0.00014388414,0.0000029025148,0.0000036182162,0.0000029868922,0.00001200115,0.99900514,0.00047296254,0.0002593971,0.000078207864,0.0000025937159],"about_ca_topic_score_codex":0.024628138,"about_ca_topic_score_gemma":0.016163213,"teacher_disagreement_score":0.024628138,"about_ca_system_score_codex":0.0011275617,"about_ca_system_score_gemma":0.0011657187,"threshold_uncertainty_score":0.048969567},"labels":[],"label_agreement":null},{"id":"W2953983168","doi":"10.22260/isarc2019/0058","title":"A Chatbot System for Construction Daily Report Information Management","year":2019,"lang":"en","type":"article","venue":"Proceedings of the ... ISARC","topic":"BIM and Construction Integration","field":"Engineering","cited_by":18,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Chatbot; Computer science; World Wide Web","score_opus":0.004110527566773909,"score_gpt":0.17399805556844855,"score_spread":0.16988752800167464,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2953983168","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.074215814,0.0011169576,0.62017804,0.00060235005,0.0005522559,0.0027336264,0.0026423866,0.27888587,0.019072676],"genre_scores_gemma":[0.5081406,0.0007688907,0.4132507,0.00071124296,0.00055007054,0.0040620007,0.0124682775,0.006081933,0.053966265],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9982192,0.00058808125,0.00016694781,0.00035596415,0.00052125263,0.00014858333],"domain_scores_gemma":[0.99587667,0.0018984246,0.00022694193,0.00051433715,0.00083544577,0.00064815994],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0029064338,0.0010725209,0.0008675808,0.0021716591,0.0009256812,0.0014549154,0.002142515,0.0011808437,0.019142568],"category_scores_gemma":[0.004621893,0.0005067434,0.00045580204,0.000897215,0.0004517195,0.0018805598,0.0023624315,0.000961976,0.0066374806],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0031042374,0.0018143477,0.005974659,0.0015958875,0.00018791648,0.0030254314,0.0058196355,0.004193705,0.119688466,0.0066164327,0.16904514,0.6789341],"study_design_scores_gemma":[0.0012424662,0.0029187975,0.028281266,0.0007740939,0.00041574799,0.0036660305,0.00256454,0.35159376,0.10922121,0.0077008945,0.49080688,0.0008143363],"about_ca_topic_score_codex":0.001724574,"about_ca_topic_score_gemma":0.001046975,"teacher_disagreement_score":0.019142568,"about_ca_system_score_codex":0.00053190725,"about_ca_system_score_gemma":0.0010039796,"threshold_uncertainty_score":0.06403828},"labels":[],"label_agreement":null},{"id":"W2954049278","doi":"10.22260/isarc2019/0035","title":"The Automation of the Softer Side of Smart City: a Socio-Semantic Roadmap","year":2019,"lang":"en","type":"article","venue":"Proceedings of the ... ISARC","topic":"Smart Cities and Technologies","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Smart city; Computer science; Download; Orchestration; Automation; Architecture; World Wide Web; Data science; Engineering management; Knowledge management; Engineering","score_opus":0.007532166346714034,"score_gpt":0.18822207616653786,"score_spread":0.18068990981982383,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2954049278","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.04047398,0.029287158,0.4111616,0.30175963,0.0023907733,0.0005905768,0.00068649044,0.0021234045,0.21152638],"genre_scores_gemma":[0.64066714,0.026603973,0.30057815,0.007276653,0.000839105,0.00089895504,0.0011398138,0.00067791936,0.021318305],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99516207,0.002523702,0.00024643136,0.00039201704,0.0012144835,0.00046139603],"domain_scores_gemma":[0.99233973,0.004068159,0.0002734187,0.0011631642,0.0013467049,0.000808829],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.010519949,0.0011243874,0.0006656538,0.005221453,0.005212851,0.016562285,0.00176713,0.0052892906,0.008484746],"category_scores_gemma":[0.0064186347,0.0007499669,0.0008943246,0.0037842153,0.023306219,0.035489954,0.012849078,0.0059880703,0.0018565748],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000030182688,0.000066119486,0.0005836908,0.0003822998,0.000017256229,0.00017278072,0.004100651,0.003469007,0.000638181,0.90988475,0.014531271,0.066123694],"study_design_scores_gemma":[0.000009683798,0.000038978844,0.0007868969,0.000580045,0.000010462209,0.00017642809,0.008410025,0.006848272,0.0006913136,0.724852,0.25754115,0.00005462585],"about_ca_topic_score_codex":0.0061840923,"about_ca_topic_score_gemma":0.005352819,"teacher_disagreement_score":0.016562285,"about_ca_system_score_codex":0.0067389514,"about_ca_system_score_gemma":0.011125464,"threshold_uncertainty_score":0.055635512},"labels":[],"label_agreement":null},{"id":"W2954104000","doi":"10.22260/isarc2019/0095","title":"Ontology-Based Knowledge Modeling for Frame Assemblies Manufacturing","year":2019,"lang":"en","type":"article","venue":"Proceedings of the ... ISARC","topic":"BIM and Construction Integration","field":"Engineering","cited_by":16,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Ontology; Computer science; Frame (networking); Modular design; Product (mathematics); Automation; Manufacturing engineering; Information model; Building information modeling; Process (computing); Download; Software engineering; Knowledge modeling; Engineering; World Wide Web; Domain knowledge; Operations management; Mechanical engineering","score_opus":0.012929366064684667,"score_gpt":0.21883262166325246,"score_spread":0.20590325559856779,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2954104000","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0061005335,0.00050297356,0.9830063,0.0005759843,0.000060502018,0.00031219318,0.00078289496,0.0007796717,0.00787895],"genre_scores_gemma":[0.13243684,0.001480459,0.8584538,0.00016024678,0.0000368997,0.0008277581,0.0026220614,0.00017627566,0.003805594],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99851936,0.0005537922,0.00020032577,0.00016837523,0.0004583688,0.000099701385],"domain_scores_gemma":[0.99898463,0.0005507039,0.000092468,0.000140181,0.0001749444,0.00005711454],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0017174329,0.0008219014,0.0007443183,0.0027303682,0.0012774093,0.0036368088,0.0019573206,0.0015770542,0.003082376],"category_scores_gemma":[0.002977622,0.00074204523,0.0031857134,0.0024708186,0.0011814845,0.0033204674,0.0028813605,0.0018269568,0.00083346973],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00010423539,0.00030343185,0.0013713975,0.00056123495,0.0002480163,0.0010978031,0.001978272,0.39233893,0.005558399,0.46669406,0.007093606,0.122650705],"study_design_scores_gemma":[0.00003217811,0.000029359197,0.00042973435,0.00022944837,0.00010098873,0.00017875935,0.0003803532,0.84762686,0.0016665296,0.0995044,0.049773637,0.000047731275],"about_ca_topic_score_codex":0.035828583,"about_ca_topic_score_gemma":0.036143754,"teacher_disagreement_score":0.035828583,"about_ca_system_score_codex":0.0026956392,"about_ca_system_score_gemma":0.0037653977,"threshold_uncertainty_score":0.07124007},"labels":[],"label_agreement":null},{"id":"W2954113214","doi":"10.22260/isarc2019/0093","title":"Infographics on Unmanned Dozer Operation","year":2019,"lang":"en","type":"article","venue":"Proceedings of the ... ISARC","topic":"BIM and Construction Integration","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Infographic; Download; Computer science; Displacement (psychology); World Wide Web; Multimedia","score_opus":0.004343861119126034,"score_gpt":0.1732408418434384,"score_spread":0.16889698072431236,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2954113214","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.028822575,0.02074929,0.13467084,0.009115098,0.0068981703,0.00018729329,0.0022658266,0.00554532,0.79174554],"genre_scores_gemma":[0.2937074,0.025547419,0.040174644,0.0012347248,0.0042128144,0.00013285856,0.003804415,0.0017276532,0.62945807],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99960095,0.000089724286,0.000018076891,0.00004210385,0.00021544007,0.00003369921],"domain_scores_gemma":[0.99922454,0.0002730085,0.000054781805,0.0001604737,0.00018077953,0.00010635065],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00049654517,0.0006793044,0.0002903274,0.0014847656,0.0007400837,0.0020589435,0.00046942063,0.00082244555,0.0909595],"category_scores_gemma":[0.0013187992,0.00017362226,0.000250423,0.0017108488,0.0013975878,0.002004363,0.0017874339,0.00071060297,0.009427273],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00020089552,0.000053579926,0.0012784691,0.00075219845,0.000020842695,0.0008958773,0.004095301,0.00371011,0.009363401,0.05677971,0.35024536,0.5726042],"study_design_scores_gemma":[0.0000044193366,0.00004060626,0.0017482684,0.00021503729,0.00000823864,0.00029149395,0.00078880024,0.0014952413,0.001827228,0.0056487834,0.9879155,0.000016280195],"about_ca_topic_score_codex":0.0042321943,"about_ca_topic_score_gemma":0.006155153,"teacher_disagreement_score":0.0909595,"about_ca_system_score_codex":0.0010785809,"about_ca_system_score_gemma":0.0008123407,"threshold_uncertainty_score":0.30428982},"labels":[],"label_agreement":null},{"id":"W2954295884","doi":"10.22260/isarc2019/0156","title":"Study of Construction-Oriented Structural Connectors for a Temporary Bridge","year":2019,"lang":"en","type":"article","venue":"Proceedings of the ... ISARC","topic":"Structural Engineering and Vibration Analysis","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Bridge (graph theory); Cable gland; Computer science; Software; Download; Structural engineering; Engineering; Operating system; Telecommunications","score_opus":0.010146076996465813,"score_gpt":0.22004016456860648,"score_spread":0.20989408757214068,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2954295884","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.46590087,0.0005146982,0.51176035,0.00006764209,0.0000854975,0.0002098553,0.000058267102,0.00019167122,0.021211177],"genre_scores_gemma":[0.9162121,0.0002675755,0.07960183,0.000012872378,0.000010918386,0.00011195044,0.000073372554,0.000046476634,0.0036629294],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9995741,0.00008688127,0.000015925347,0.000056887126,0.00022054357,0.000045615725],"domain_scores_gemma":[0.99954873,0.000108667926,0.00012040035,0.00006893475,0.0001269914,0.000026313946],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006340532,0.00044330995,0.00025085366,0.0005816261,0.00029272746,0.00061934436,0.000496856,0.00049134914,0.002131851],"category_scores_gemma":[0.00091152213,0.00027306558,0.00044956477,0.0004416811,0.00046529513,0.00044404308,0.00032710962,0.00034430312,0.00037225883],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00016801881,0.0002640143,0.0050590527,0.00057733926,0.0000517624,0.0012161718,0.000581152,0.23775314,0.5473669,0.13555495,0.0011477241,0.070259735],"study_design_scores_gemma":[0.00006183673,0.0033315255,0.009335941,0.00010112351,0.00012213689,0.0015783876,0.00055828906,0.7679782,0.17153174,0.011180096,0.034146164,0.00007456138],"about_ca_topic_score_codex":0.0003498801,"about_ca_topic_score_gemma":0.00048071338,"teacher_disagreement_score":0.002131851,"about_ca_system_score_codex":0.00038521475,"about_ca_system_score_gemma":0.0006097084,"threshold_uncertainty_score":0.0071317554},"labels":[],"label_agreement":null},{"id":"W2954404573","doi":"10.22260/isarc2019/0069","title":"Automated Detection of Urban Flooding from News","year":2019,"lang":"en","type":"article","venue":"Proceedings of the ... ISARC","topic":"Anomaly Detection Techniques and Applications","field":"Computer Science","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Flooding (psychology); Computer science","score_opus":0.007769918990503912,"score_gpt":0.21462781491245284,"score_spread":0.20685789592194892,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2954404573","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8630356,0.005221188,0.056501016,0.0014407249,0.0006554213,0.0010589829,0.035048787,0.0137252165,0.023312917],"genre_scores_gemma":[0.83721673,0.0022627483,0.08590442,0.00019934199,0.0007363007,0.00030216336,0.060937155,0.00023517858,0.012206053],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9994037,0.00006804637,0.000058227568,0.000106467545,0.00025197514,0.000111542875],"domain_scores_gemma":[0.9979274,0.00067765824,0.00033695818,0.00013693576,0.00079434743,0.00012670808],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005090815,0.0007387752,0.0005774023,0.008766039,0.00042549704,0.0013512283,0.00045093714,0.00068897667,0.0017011111],"category_scores_gemma":[0.0025989818,0.00023114584,0.00040145466,0.0032161938,0.00019817911,0.00093981036,0.0006765301,0.00047170327,0.0021379967],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0006869895,0.00035905716,0.12316509,0.0014829743,0.00017763315,0.0024146647,0.001420284,0.0062158518,0.053406596,0.0007809049,0.07538222,0.7345077],"study_design_scores_gemma":[0.000078074,0.00039273858,0.5762442,0.00030421393,0.00027330796,0.002251517,0.004409798,0.27331862,0.052123748,0.0014924592,0.088945135,0.00016625394],"about_ca_topic_score_codex":0.011116377,"about_ca_topic_score_gemma":0.01204892,"teacher_disagreement_score":0.011116377,"about_ca_system_score_codex":0.00047904556,"about_ca_system_score_gemma":0.00048912317,"threshold_uncertainty_score":0.02210337},"labels":[],"label_agreement":null},{"id":"W2954430685","doi":"10.22260/isarc2019/0131","title":"Trajectory Prediction of Mobile Construction Resources Toward Pro-active Struck-by Hazard Detection","year":2019,"lang":"en","type":"article","venue":"Proceedings of the ... ISARC","topic":"Occupational Health and Safety Research","field":"Health Professions","cited_by":27,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Trajectory; Hazard; Computer science; Deep learning; Hazard analysis; Artificial neural network; Displacement (psychology); Mobile device; Artificial intelligence; SAFER; Machine learning; Real-time computing; Computer security; Engineering; Reliability engineering; World Wide Web","score_opus":0.03572801428390239,"score_gpt":0.35201318720614927,"score_spread":0.3162851729222469,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2954430685","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.74228925,0.00041271094,0.25148982,0.0005217135,0.000115785406,0.00007371717,0.0012396133,0.00074974366,0.0031076488],"genre_scores_gemma":[0.99044085,0.00008376416,0.007443758,0.000022619439,0.000008256675,0.000024962812,0.00074612064,0.00001408912,0.001215527],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99987257,0.000017850636,0.0000052837277,0.000040242416,0.000031121734,0.000032991098],"domain_scores_gemma":[0.99966145,0.00011865974,0.000055984114,0.000028395025,0.00009174492,0.00004372406],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00026847183,0.0006865338,0.00033325018,0.00068404386,0.00021907996,0.00036072914,0.0006378237,0.00048105093,0.0011205386],"category_scores_gemma":[0.0012186895,0.0001986261,0.00042262772,0.0005168476,0.00027953295,0.00052908773,0.00072190975,0.00065650325,0.00037270307],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00010767052,0.000045204302,0.019544572,0.000028788101,0.000023975972,0.00012627615,0.00004655698,0.94977343,0.0011511585,0.00061493827,0.0009633781,0.02757402],"study_design_scores_gemma":[9.666774e-7,0.000012405549,0.0014823996,0.0000033173633,0.0000027444687,0.000006204487,0.000015626754,0.99789315,0.00026297598,0.000201494,0.00011631511,0.0000024085105],"about_ca_topic_score_codex":0.022043543,"about_ca_topic_score_gemma":0.016860629,"teacher_disagreement_score":0.022043543,"about_ca_system_score_codex":0.0006260321,"about_ca_system_score_gemma":0.0005774612,"threshold_uncertainty_score":0.043830514},"labels":[],"label_agreement":null},{"id":"W2954441056","doi":"10.22260/isarc2019/0004","title":"3D Posture Estimation from 2D Posture Data for Construction Workers","year":2019,"lang":"en","type":"article","venue":"Proceedings of the ... ISARC","topic":"Ergonomics and Musculoskeletal Disorders","field":"Psychology","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Estimation; Computer science; Joint (building); Productivity; Download; Engineering; World Wide Web; Structural engineering","score_opus":0.016135657983427386,"score_gpt":0.28166565455895726,"score_spread":0.2655299965755299,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2954441056","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.31158686,0.00305086,0.64736784,0.0003126186,0.00040171508,0.00045940257,0.026986483,0.006673749,0.0031603517],"genre_scores_gemma":[0.68308115,0.001579467,0.2703292,0.000116075156,0.00017399754,0.0006873793,0.04084576,0.00029756644,0.002889378],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9993963,0.00009893178,0.000038958242,0.00017971931,0.00020160344,0.00008443116],"domain_scores_gemma":[0.99915826,0.00017791936,0.00012243832,0.00016361417,0.00031380786,0.00006389344],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005263945,0.0012979729,0.0010192444,0.0031152172,0.0003228219,0.0007192834,0.0006324551,0.0011273667,0.0029478888],"category_scores_gemma":[0.0017299898,0.00054134894,0.0010340651,0.0018215352,0.000274903,0.00047951154,0.0013414896,0.00055578444,0.0038714665],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0011254746,0.00047967452,0.08044888,0.0011291208,0.00043573725,0.0007972257,0.0005321639,0.028576517,0.08688974,0.00042741242,0.017151905,0.78200626],"study_design_scores_gemma":[0.00010925885,0.00062977587,0.44533467,0.00051077857,0.00021236003,0.0017763738,0.001029504,0.49400604,0.035046827,0.0025722536,0.018545242,0.00022697437],"about_ca_topic_score_codex":0.0064170263,"about_ca_topic_score_gemma":0.012664538,"teacher_disagreement_score":0.0064170263,"about_ca_system_score_codex":0.00030316412,"about_ca_system_score_gemma":0.0005569909,"threshold_uncertainty_score":0.0127593875},"labels":[],"label_agreement":null},{"id":"W2954449767","doi":"10.22260/isarc2019/0067","title":"Leading Safety Indicators: Application of Machine Learning for Safety Performance Measurement","year":2019,"lang":"en","type":"article","venue":"Proceedings of the ... ISARC","topic":"Occupational Health and Safety Research","field":"Health Professions","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Support vector machine; Performance indicator; Computer science; Machine learning; Safety monitoring; Feature selection; Random forest; Artificial intelligence; Engineering; Data mining","score_opus":0.048419797061050734,"score_gpt":0.378349483169139,"score_spread":0.32992968610808826,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2954449767","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.05629167,0.0036373183,0.91756934,0.0017818274,0.0004257238,0.0006976408,0.0016275978,0.0053570285,0.012611873],"genre_scores_gemma":[0.59488386,0.0027023077,0.3962477,0.00022999679,0.00031248014,0.0006900499,0.0014095261,0.00019275905,0.0033313038],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9970682,0.0010029201,0.00025527837,0.00029031627,0.0012496742,0.0001335686],"domain_scores_gemma":[0.99506783,0.00284937,0.0006484449,0.0002018142,0.0011065854,0.0001258817],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0036034903,0.0011886328,0.0009141293,0.0044190306,0.00032809813,0.0019622582,0.00081391743,0.0009082084,0.0022280356],"category_scores_gemma":[0.008240617,0.00031498374,0.00071593246,0.00394112,0.00048317475,0.0013105951,0.0011519497,0.0016694171,0.0010969145],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00017621698,0.00044259243,0.02993013,0.00050369144,0.0002331394,0.0001285543,0.00022739456,0.0858232,0.0033820856,0.006579632,0.011079268,0.86149395],"study_design_scores_gemma":[0.00003558336,0.0004129138,0.022524735,0.0002703457,0.00007043632,0.0001333873,0.00021030164,0.9428605,0.0066748946,0.017727433,0.008966339,0.00011318889],"about_ca_topic_score_codex":0.0029378305,"about_ca_topic_score_gemma":0.0019877392,"teacher_disagreement_score":0.0044190306,"about_ca_system_score_codex":0.0008940737,"about_ca_system_score_gemma":0.001016474,"threshold_uncertainty_score":0.019057274},"labels":[],"label_agreement":null},{"id":"W2954505356","doi":"10.22260/isarc2019/0055","title":"The Design of Building Management Platform Based on Cloud Computing and Low-Cost Devices","year":2019,"lang":"en","type":"article","venue":"Proceedings of the ... ISARC","topic":"Advanced Technology in Applications","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Architectural engineering; Computer science; Cloud computing; Building management system; Facility management; Building automation; Control (management); Thermal comfort; Service (business); Systems engineering; Engineering; Operating system; Artificial intelligence","score_opus":0.01350999220640099,"score_gpt":0.25080347045584167,"score_spread":0.2372934782494407,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2954505356","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.17917913,0.001828522,0.7672588,0.00080339995,0.0005394626,0.0015454956,0.0002940157,0.005967985,0.042583097],"genre_scores_gemma":[0.80236393,0.0007177114,0.18553813,0.00032014458,0.00007623567,0.0005391354,0.00033473424,0.00022583143,0.009884243],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99954337,0.00005316052,0.000033894547,0.000071835966,0.00016876197,0.00012901651],"domain_scores_gemma":[0.9998241,0.000017218063,0.000021391534,0.000022259144,0.0000686432,0.00004648491],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00028775938,0.00048342076,0.0004208818,0.0005206431,0.00047405058,0.0010724856,0.0016546147,0.0004362296,0.002287035],"category_scores_gemma":[0.00036750318,0.00033808014,0.0005018579,0.00043105707,0.00020917767,0.0011277754,0.00086246023,0.00047857294,0.0006058184],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0013501254,0.00090476626,0.012568431,0.0017533298,0.00034688445,0.0046136673,0.00093754864,0.07754617,0.3938538,0.07656952,0.030093273,0.39946252],"study_design_scores_gemma":[0.0002705987,0.0010836292,0.01199057,0.00017584702,0.00033217686,0.002783371,0.0004864269,0.7178912,0.13807556,0.0069633625,0.11974641,0.0002007401],"about_ca_topic_score_codex":0.0019786062,"about_ca_topic_score_gemma":0.0014035439,"teacher_disagreement_score":0.002287035,"about_ca_system_score_codex":0.00043483108,"about_ca_system_score_gemma":0.00097571715,"threshold_uncertainty_score":0.007650852},"labels":[],"label_agreement":null},{"id":"W2954585279","doi":"10.22260/isarc2019/0018","title":"Multi-objective Optimization Analysis for Selective Disassembly Planning of Buildings","year":2019,"lang":"en","type":"article","venue":"Proceedings of the ... ISARC","topic":"BIM and Construction Integration","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Computer science","score_opus":0.009301348081987248,"score_gpt":0.2259789398981037,"score_spread":0.21667759181611645,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2954585279","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.04211262,0.0006949566,0.9482997,0.00021914292,0.00003150899,0.0001537766,0.0001067221,0.00009712082,0.008284368],"genre_scores_gemma":[0.74005824,0.0010586401,0.24878691,0.00010134939,0.00003768218,0.0007411957,0.00034951887,0.00015714945,0.008709394],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99943906,0.00023589886,0.000022033792,0.00006511982,0.00016639952,0.00007141019],"domain_scores_gemma":[0.99902296,0.00069606083,0.00007596483,0.00001878926,0.0001544682,0.00003173082],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0017163124,0.0014890934,0.0009526532,0.0011625638,0.00047628427,0.0013958013,0.0005902934,0.0007853946,0.0029922056],"category_scores_gemma":[0.0020202422,0.0007291464,0.0015219447,0.00086076657,0.00059485063,0.00070744444,0.0009975572,0.0010893823,0.0002860157],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000009441013,0.0000116220845,0.00014088262,0.000029981513,0.00001391698,0.000014805791,0.000011551189,0.99436814,0.00031303306,0.0011098288,0.00010657221,0.0038701734],"study_design_scores_gemma":[0.000002197872,0.000019161564,0.00012639338,0.000007527041,0.0000070387864,0.000003246275,0.00001209284,0.99856865,0.0001874197,0.0007826086,0.00028059492,0.0000029362461],"about_ca_topic_score_codex":0.010034742,"about_ca_topic_score_gemma":0.007326412,"teacher_disagreement_score":0.010034742,"about_ca_system_score_codex":0.0014696592,"about_ca_system_score_gemma":0.0016088668,"threshold_uncertainty_score":0.019952655},"labels":[],"label_agreement":null},{"id":"W2954791668","doi":"10.22260/isarc2019/0122","title":"New System Form Design Process Using QFD and TRIZ","year":2019,"lang":"en","type":"article","venue":"Proceedings of the ... ISARC","topic":"Quality Function Deployment in Product Design","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"TRIZ; Quality function deployment; Computer science; Software deployment; Process (computing); Manufacturing engineering; Quality (philosophy); Function (biology); Engineering; Software engineering; Operations management; Operating system","score_opus":0.0343052626603006,"score_gpt":0.23082683685239208,"score_spread":0.19652157419209149,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2954791668","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.005884844,0.00011577638,0.9831806,0.000556862,0.00006969678,0.0015247392,0.0001235666,0.00046358586,0.008080364],"genre_scores_gemma":[0.04856277,0.0001760743,0.946505,0.00007067568,0.0000230562,0.0012296446,0.00027855163,0.00013592893,0.003018203],"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9717782,0.015407387,0.0023773408,0.002290462,0.007581912,0.0005646948],"domain_scores_gemma":[0.96548945,0.015420054,0.0018941015,0.0037580293,0.012761851,0.00067642657],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.030894522,0.0017253853,0.0010124674,0.007046672,0.0021416275,0.006257739,0.0020880955,0.001386289,0.008597093],"category_scores_gemma":[0.03405756,0.0010229411,0.0018362254,0.0045236666,0.0030009558,0.0050189085,0.0037931507,0.0023932925,0.0017022265],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00023270327,0.0005424126,0.0040971716,0.0014155868,0.0001296432,0.0004952812,0.01838342,0.037249234,0.009549331,0.22534801,0.01124149,0.69131577],"study_design_scores_gemma":[0.00055160065,0.0012211787,0.0052548316,0.0014656757,0.0002777267,0.00094032305,0.011344106,0.43049163,0.021284053,0.21549968,0.31129047,0.0003788042],"about_ca_topic_score_codex":0.003761491,"about_ca_topic_score_gemma":0.0035206373,"teacher_disagreement_score":0.030894522,"about_ca_system_score_codex":0.005584515,"about_ca_system_score_gemma":0.009127375,"threshold_uncertainty_score":0.16338778},"labels":[],"label_agreement":null},{"id":"W2954838440","doi":"10.22260/isarc2019/0081","title":"Development of the Simulator for Carrying a Lifted Load in Large Plant Construction","year":2019,"lang":"en","type":"article","venue":"Proceedings of the ... ISARC","topic":"BIM and Construction Integration","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Animation; Computer science; Virtual reality; Simulation; Work (physics); Physics engine; Computer graphics (images); Human–computer interaction; Engineering; Mechanical engineering","score_opus":0.007546639378918208,"score_gpt":0.1931979601850155,"score_spread":0.1856513208060973,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2954838440","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.06422826,0.00028047172,0.91299766,0.00027000526,0.00026322264,0.001475317,0.00087427406,0.009258927,0.010351845],"genre_scores_gemma":[0.35586798,0.00078007695,0.6252734,0.00013360819,0.000051849234,0.0018410677,0.0020971603,0.0007575298,0.013197403],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999608,0.000085043226,0.000032179825,0.00004402372,0.00019751977,0.000033207023],"domain_scores_gemma":[0.99939287,0.00018198323,0.000028709312,0.00008940165,0.00021768911,0.00008931286],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00073487574,0.00089856377,0.00048697554,0.00067441736,0.00030623435,0.0007012041,0.0018892814,0.0009075692,0.008967071],"category_scores_gemma":[0.0014857705,0.0004976087,0.000809862,0.00033031328,0.0003529877,0.0008286242,0.001479671,0.00074174476,0.0020835963],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0007612251,0.0010319117,0.0129236225,0.0020270734,0.00023539705,0.0024627123,0.003333712,0.21307309,0.29382187,0.010763473,0.022341162,0.43722475],"study_design_scores_gemma":[0.00028191958,0.0012064135,0.0079127615,0.0002922662,0.00020356744,0.0012550453,0.00061672396,0.80688715,0.07847658,0.0023491427,0.10025129,0.0002671891],"about_ca_topic_score_codex":0.002448676,"about_ca_topic_score_gemma":0.0022238789,"teacher_disagreement_score":0.008967071,"about_ca_system_score_codex":0.00030308694,"about_ca_system_score_gemma":0.0013856879,"threshold_uncertainty_score":0.029997826},"labels":[],"label_agreement":null},{"id":"W2954858138","doi":"10.22260/isarc2019/0171","title":"Automatic Key-phrase Extraction to Support the Understanding of Infrastructure Disaster Resilience","year":2019,"lang":"en","type":"article","venue":"Proceedings of the ... ISARC","topic":"Advanced Text Analysis Techniques","field":"Computer Science","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Resilience (materials science); Computer science; Key (lock); Phrase; Critical infrastructure; Computer security; Natural language processing","score_opus":0.013635449803248044,"score_gpt":0.27092614887838457,"score_spread":0.2572906990751365,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2954858138","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.044410545,0.0047731004,0.87237346,0.0018567559,0.00057661947,0.0024329661,0.028691147,0.03480472,0.010080726],"genre_scores_gemma":[0.10830669,0.0021516979,0.8436206,0.0003410585,0.00026513627,0.0009350917,0.039337195,0.0008586319,0.0041839276],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9983028,0.00040122666,0.00028725693,0.00040768128,0.00046170643,0.00013919735],"domain_scores_gemma":[0.99407756,0.002833292,0.0006381878,0.00039015748,0.0019290661,0.00013169761],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0017369121,0.0024350907,0.0011558176,0.00920075,0.0010629102,0.0021586632,0.0013135787,0.0013717461,0.010505778],"category_scores_gemma":[0.007966606,0.00056456414,0.0014068459,0.0050544296,0.00062136113,0.004311051,0.0023370907,0.0014880458,0.0097518535],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00068076525,0.00026205284,0.003289579,0.004802914,0.00019588796,0.0017240188,0.0019033895,0.0026369076,0.14865716,0.0070903753,0.07992647,0.7488305],"study_design_scores_gemma":[0.00042175627,0.00088929577,0.02665412,0.0013860901,0.0007645429,0.0059722345,0.0076722386,0.2693127,0.2501653,0.03476659,0.40151903,0.00047608468],"about_ca_topic_score_codex":0.0036057525,"about_ca_topic_score_gemma":0.0035399646,"teacher_disagreement_score":0.010505778,"about_ca_system_score_codex":0.0010423433,"about_ca_system_score_gemma":0.002294714,"threshold_uncertainty_score":0.035145283},"labels":[],"label_agreement":null},{"id":"W2954867402","doi":"10.22260/isarc2019/0148","title":"Implementing Collaborative Learning Platforms in Construction Management Education","year":2019,"lang":"en","type":"article","venue":"Proceedings of the ... ISARC","topic":"BIM and Construction Integration","field":"Engineering","cited_by":13,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Building information modeling; Class (philosophy); Engineering management; Project management; Construction management; Knowledge management; Computer science; Engineering; Systems engineering; Operations management","score_opus":0.0029069471526231355,"score_gpt":0.19495141145767103,"score_spread":0.1920444643050479,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2954867402","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.537748,0.0017264518,0.23376635,0.01100095,0.00083888834,0.0021959683,0.00016284049,0.00468825,0.20787233],"genre_scores_gemma":[0.7897895,0.0010446553,0.18658772,0.00052466633,0.00014406009,0.001104713,0.0002207863,0.00020603191,0.020377869],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9947944,0.0026141976,0.000191472,0.00037295252,0.0011756548,0.0008511641],"domain_scores_gemma":[0.9923294,0.0032612947,0.0005017074,0.0008209241,0.0009122383,0.0021743644],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0060186186,0.0004688987,0.00030461504,0.0011197985,0.0017294515,0.0049257185,0.0018097182,0.0018362795,0.011772338],"category_scores_gemma":[0.009149257,0.0003434542,0.00048733773,0.00090938556,0.00084980944,0.005320741,0.0099543445,0.0015232625,0.0041131782],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00020668702,0.007225057,0.005960343,0.0005571321,0.000032275893,0.00043024102,0.0054294257,0.0048980564,0.0047273315,0.019002048,0.016121145,0.9354103],"study_design_scores_gemma":[0.001015509,0.010625113,0.036785424,0.005165881,0.00021901322,0.0016642552,0.036456194,0.0871989,0.042302594,0.097906716,0.6802213,0.0004391434],"about_ca_topic_score_codex":0.00065763015,"about_ca_topic_score_gemma":0.00093779515,"teacher_disagreement_score":0.011772338,"about_ca_system_score_codex":0.0011887691,"about_ca_system_score_gemma":0.0039487346,"threshold_uncertainty_score":0.039382398},"labels":[],"label_agreement":null},{"id":"W2954930023","doi":"10.22260/isarc2019/0160","title":"Pavement Crack Mosaicking Based on Crack Detection Quality","year":2019,"lang":"en","type":"article","venue":"Proceedings of the ... ISARC","topic":"Infrastructure Maintenance and Monitoring","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Convolutional neural network; Computer science; Frame (networking); Video camera; Artificial intelligence; Computer vision; Telecommunications","score_opus":0.006817415330286723,"score_gpt":0.21039996293992927,"score_spread":0.20358254760964253,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2954930023","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6070523,0.0007580902,0.38759196,0.000093316914,0.000057758898,0.0001408811,0.00031624147,0.0010197648,0.0029696242],"genre_scores_gemma":[0.9280143,0.00025923253,0.070168525,0.000016775366,0.000017600663,0.000020475547,0.00035813786,0.000063667765,0.0010812697],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.99953604,0.000044806744,0.00002934432,0.00013124474,0.00020753927,0.000051112624],"domain_scores_gemma":[0.99802446,0.00037144474,0.0002445485,0.00015495103,0.0011012022,0.000103404374],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006809741,0.00042442395,0.0004261305,0.0017514486,0.00012930467,0.0007242361,0.00029345535,0.0003375217,0.0010400123],"category_scores_gemma":[0.002602467,0.00020772636,0.000349087,0.0005552499,0.0003000254,0.00079050864,0.0005352068,0.00037755133,0.00028722791],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0012264699,0.00013560406,0.06689388,0.00037784493,0.0002723409,0.00017893438,0.00020793742,0.053977888,0.34521344,0.00076095026,0.0013254576,0.52942926],"study_design_scores_gemma":[0.000029196015,0.0002166687,0.09886926,0.00004503397,0.0002104861,0.00028211615,0.00010147032,0.7876155,0.11103506,0.00047429345,0.0010643154,0.00005668048],"about_ca_topic_score_codex":0.0030517597,"about_ca_topic_score_gemma":0.004519151,"teacher_disagreement_score":0.0030517597,"about_ca_system_score_codex":0.00041521108,"about_ca_system_score_gemma":0.00028855665,"threshold_uncertainty_score":0.0060679913},"labels":[],"label_agreement":null},{"id":"W2955099080","doi":"10.22260/isarc2019/0110","title":"Using BIM and Sensing Mats to Improve IMU-based Indoor Positioning Accuracy","year":2019,"lang":"en","type":"article","venue":"Proceedings of the ... ISARC","topic":"Indoor and Outdoor Localization Technologies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Inertial measurement unit; Computer science; Real-time computing; Computer vision; Artificial intelligence","score_opus":0.00941061756488226,"score_gpt":0.22110910611583615,"score_spread":0.21169848855095388,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2955099080","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.06348376,0.0005838342,0.9282387,0.0001479711,0.000232075,0.000048936476,0.00014738999,0.002350896,0.004766493],"genre_scores_gemma":[0.63939846,0.0004940461,0.35668656,0.00013632122,0.000118329546,0.000079686266,0.00035554718,0.00021259442,0.0025184287],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9988978,0.00018009794,0.000062554616,0.00015936724,0.00061333674,0.00008688709],"domain_scores_gemma":[0.99904686,0.00017459494,0.00012148933,0.00022048548,0.0003980903,0.000038413524],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00085535034,0.0012720835,0.0007098858,0.0018937187,0.00031361077,0.0011559344,0.0010475393,0.00065316656,0.0018312826],"category_scores_gemma":[0.0025500609,0.00044141532,0.00057137996,0.0017984665,0.00035945847,0.0015983916,0.0018343122,0.00050799694,0.0013780757],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0004186284,0.00015645982,0.011660655,0.00045089296,0.00012436222,0.00035206234,0.00038045002,0.09889398,0.1638929,0.0042767297,0.0037448509,0.7156481],"study_design_scores_gemma":[0.00003976222,0.00036253547,0.013720382,0.000077593,0.0001629477,0.0005259943,0.00024108532,0.8236066,0.13764486,0.0022420497,0.021269897,0.00010626705],"about_ca_topic_score_codex":0.0011306249,"about_ca_topic_score_gemma":0.0011026463,"teacher_disagreement_score":0.0018937187,"about_ca_system_score_codex":0.00025304826,"about_ca_system_score_gemma":0.00038516204,"threshold_uncertainty_score":0.0061262846},"labels":[],"label_agreement":null},{"id":"W2955122893","doi":"10.22260/isarc2019/0079","title":"Information Exchange Process for AR based Smart Facility Maintenance System Using BIM Model","year":2019,"lang":"en","type":"article","venue":"Proceedings of the ... ISARC","topic":"BIM and Construction Integration","field":"Engineering","cited_by":11,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Building information modeling; Data exchange; Computer science; Information system; Process (computing); Information exchange; Information model; Systems engineering; Augmented reality; Field (mathematics); Software engineering; Database; Engineering; Human–computer interaction; Operating system","score_opus":0.015807402177863698,"score_gpt":0.20862227696018873,"score_spread":0.19281487478232504,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2955122893","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.06935987,0.00042487725,0.8944151,0.0007188882,0.00011885175,0.0006472348,0.00038705347,0.0042641656,0.029664014],"genre_scores_gemma":[0.73259586,0.0005519827,0.25141186,0.00016230484,0.000051203595,0.0004417195,0.0015593251,0.00024558374,0.012980226],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9971215,0.0007716323,0.00027004458,0.000342519,0.0012477105,0.00024647728],"domain_scores_gemma":[0.9985453,0.0005040344,0.00015581658,0.00031820367,0.0004033827,0.000073258416],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0023115154,0.00070760556,0.0005949178,0.0021524122,0.001191781,0.002791467,0.0012361424,0.001042442,0.0063375947],"category_scores_gemma":[0.003509822,0.0005167348,0.001219184,0.0014653913,0.00052167184,0.0034591388,0.002127635,0.0008040851,0.0015582066],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.001009154,0.0008911948,0.016737942,0.0006681036,0.00016593143,0.0027958092,0.007509692,0.23426723,0.041878387,0.09225732,0.018087126,0.5837321],"study_design_scores_gemma":[0.000100817575,0.000291185,0.004502782,0.00011453811,0.0001347769,0.0005817934,0.0011509354,0.9059166,0.031479735,0.012742567,0.042830568,0.00015378505],"about_ca_topic_score_codex":0.0046591195,"about_ca_topic_score_gemma":0.002084462,"teacher_disagreement_score":0.0063375947,"about_ca_system_score_codex":0.0008880333,"about_ca_system_score_gemma":0.0014132479,"threshold_uncertainty_score":0.021201313},"labels":[],"label_agreement":null},{"id":"W2955147341","doi":"10.22260/isarc2019/0138","title":"Spatial Efficacy of Respiration Monitoring using Doppler Radars for Personalized Thermal Comfort Assessment","year":2019,"lang":"en","type":"article","venue":"Proceedings of the ... ISARC","topic":"Non-Invasive Vital Sign Monitoring","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Environmental science; Computer science; Remote sensing; Ventilation (architecture); Doppler radar; Radar; HVAC; Thermal comfort; Meteorology; Air conditioning; Telecommunications; Engineering; Geography","score_opus":0.025110965662187783,"score_gpt":0.27183960402021146,"score_spread":0.24672863835802367,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2955147341","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6783028,0.0039735227,0.30918398,0.00038734588,0.00019110242,0.000116935145,0.00039673655,0.0009928043,0.006454713],"genre_scores_gemma":[0.9694603,0.0007180097,0.029029293,0.00007978167,0.00006701384,0.000027709802,0.000108290835,0.000028760403,0.00048071574],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99937624,0.00025268822,0.0000266368,0.00010146242,0.00021079856,0.00003225359],"domain_scores_gemma":[0.99892265,0.0005610332,0.00011448825,0.000083633124,0.00028462565,0.000033566906],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007818976,0.00044759506,0.0003624045,0.00063077494,0.000089420675,0.0005866239,0.000237869,0.0004341315,0.0009893813],"category_scores_gemma":[0.0023164107,0.00013993918,0.00024741655,0.0004453479,0.00012539298,0.00049842685,0.00048195056,0.00025930555,0.0004834005],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0014273922,0.00025192674,0.040724345,0.0006697295,0.00016698698,0.000288998,0.00029754685,0.023200033,0.34570497,0.00060057844,0.0015982155,0.5850693],"study_design_scores_gemma":[0.00010852305,0.0024229283,0.2111903,0.0002083402,0.0007657795,0.0018625178,0.00074912,0.51241356,0.26151642,0.0013189291,0.007284431,0.00015914156],"about_ca_topic_score_codex":0.00024238924,"about_ca_topic_score_gemma":0.00039694546,"teacher_disagreement_score":0.0009893813,"about_ca_system_score_codex":0.00011057638,"about_ca_system_score_gemma":0.00012008884,"threshold_uncertainty_score":0.004135072},"labels":[],"label_agreement":null},{"id":"W2955398845","doi":"10.22260/isarc2019/0025","title":"An Analysis of the Problems of BIM-Based Drawings and Implementation During the Construction Document Phase","year":2019,"lang":"en","type":"article","venue":"Proceedings of the ... ISARC","topic":"BIM and Construction Integration","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Computer science; Phase (matter); Engineering drawing; Engineering","score_opus":0.0037889256023634875,"score_gpt":0.2280575762540272,"score_spread":0.2242686506516637,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2955398845","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8104214,0.002134406,0.12634948,0.0036199805,0.00015031894,0.0021489004,0.00027110125,0.00038352938,0.05452088],"genre_scores_gemma":[0.91017854,0.0015428539,0.07693986,0.00019282705,0.00003559744,0.00078368466,0.00035477383,0.00023632312,0.00973555],"study_design_codex":"design_other","study_design_gemma":"qualitative","domain_scores_codex":[0.9136428,0.041064497,0.0059342934,0.0025721036,0.034031954,0.0027543178],"domain_scores_gemma":[0.80478376,0.10782419,0.022979772,0.011519488,0.051315207,0.0015776635],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.042106226,0.0010002475,0.00058644055,0.0081809275,0.00414385,0.009597801,0.0036165614,0.0026251152,0.0034618373],"category_scores_gemma":[0.14000244,0.0017661074,0.0009800858,0.01079956,0.0037449722,0.008778474,0.0033884498,0.002694911,0.0008695932],"study_design_candidate":"qualitative","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0006961718,0.0011110767,0.09223135,0.002234174,0.0001291983,0.0041115363,0.15437992,0.020680841,0.0096255075,0.05566443,0.008442825,0.65069294],"study_design_scores_gemma":[0.00013409331,0.0012594186,0.2420612,0.0044439156,0.0005430043,0.007468575,0.38754946,0.10682007,0.035841804,0.01613783,0.19703452,0.00070610305],"about_ca_topic_score_codex":0.008660181,"about_ca_topic_score_gemma":0.0077704308,"teacher_disagreement_score":0.042106226,"about_ca_system_score_codex":0.00891764,"about_ca_system_score_gemma":0.009147364,"threshold_uncertainty_score":0.22268164},"labels":[],"label_agreement":null},{"id":"W2955467198","doi":"10.22260/isarc2019/0140","title":"Schedule Quality Assessment for nD Models using Industry Foundation Classes","year":2019,"lang":"en","type":"article","venue":"Proceedings of the ... ISARC","topic":"BIM and Construction Integration","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Schedule; Computer science; Quality (philosophy); Scheduling (production processes); Operations research; Software; Software engineering; Engineering; Operations management","score_opus":0.05298002145118099,"score_gpt":0.3041200264161804,"score_spread":0.25114000496499944,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2955467198","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.17033197,0.00038179164,0.7960828,0.00025375906,0.00007301121,0.0007695025,0.0031631077,0.0023482873,0.02659571],"genre_scores_gemma":[0.661042,0.00048225743,0.3274524,0.000038151557,0.000024853027,0.00083544676,0.0053241192,0.00043896138,0.004361884],"study_design_codex":"simulation_or_modeling","study_design_gemma":"not_applicable","domain_scores_codex":[0.9976388,0.0005220163,0.00022803358,0.00019761895,0.0013001943,0.00011333937],"domain_scores_gemma":[0.9927004,0.0033952158,0.0008111024,0.00065516337,0.0023294876,0.000108662956],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0035919875,0.0007532042,0.000619875,0.003017598,0.00045685712,0.0024141176,0.0012475942,0.0005241373,0.00556611],"category_scores_gemma":[0.012107798,0.00032345223,0.001706477,0.0018630631,0.00034061098,0.0011405976,0.0011943767,0.000684902,0.00061972433],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00023825755,0.00017457965,0.016379138,0.00063189765,0.00009644679,0.00012450363,0.0005430594,0.7627345,0.0039359694,0.022406563,0.0036849254,0.18905017],"study_design_scores_gemma":[0.00001836601,0.00009461628,0.00455371,0.00012197533,0.000039072682,0.000036120095,0.0002409611,0.97561395,0.002472151,0.0031725797,0.013608214,0.000028286602],"about_ca_topic_score_codex":0.02405565,"about_ca_topic_score_gemma":0.016559543,"teacher_disagreement_score":0.02405565,"about_ca_system_score_codex":0.0029632205,"about_ca_system_score_gemma":0.0027758058,"threshold_uncertainty_score":0.047831297},"labels":[],"label_agreement":null},{"id":"W2955523957","doi":"10.22260/isarc2019/0165","title":"Case Study on Mobile Virtual Reality Construction Training","year":2019,"lang":"en","type":"article","venue":"Proceedings of the ... ISARC","topic":"BIM and Construction Integration","field":"Engineering","cited_by":22,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Virtual reality; Lagging; Computer science; Craft; Download; Multimedia; Augmented reality; Mobile device; Human–computer interaction; World Wide Web","score_opus":0.0227026058004439,"score_gpt":0.2379289585506848,"score_spread":0.2152263527502409,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2955523957","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7926056,0.0021656747,0.062225994,0.0051254705,0.00051156204,0.0016368643,0.0004596477,0.0002771774,0.134992],"genre_scores_gemma":[0.924698,0.0009613158,0.02691689,0.0003795095,0.00006860338,0.0003455236,0.00014170056,0.00007057308,0.046417966],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9968167,0.0017785486,0.000118436765,0.00022288602,0.0006408275,0.00042261195],"domain_scores_gemma":[0.9978871,0.0011174049,0.00015468668,0.00018000667,0.0002242626,0.0004366254],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001633981,0.0006169839,0.0003659183,0.0013516911,0.0034727643,0.001878471,0.0019250959,0.0037150613,0.013174838],"category_scores_gemma":[0.0029762988,0.00032711055,0.00071337237,0.0012088214,0.0018492452,0.0013571513,0.0028168275,0.0013034845,0.0025519512],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.001333192,0.0069851866,0.033588983,0.0038009647,0.00015028613,0.25780246,0.14757405,0.054952558,0.028737921,0.04707096,0.041371625,0.37663183],"study_design_scores_gemma":[0.0002660965,0.0041029006,0.030779507,0.0021398936,0.0001221666,0.093293235,0.19365239,0.037297197,0.02826917,0.0067177317,0.60306674,0.000293062],"about_ca_topic_score_codex":0.003667364,"about_ca_topic_score_gemma":0.008998877,"teacher_disagreement_score":0.013174838,"about_ca_system_score_codex":0.0013397818,"about_ca_system_score_gemma":0.0015021639,"threshold_uncertainty_score":0.044074178},"labels":[],"label_agreement":null},{"id":"W2955618070","doi":"10.22260/isarc2019/0155","title":"Service Level Evaluation of Floridas Highways Considering the Impact of Autonomous Vehicles","year":2019,"lang":"en","type":"article","venue":"Proceedings of the ... ISARC","topic":"Traffic Prediction and Management Techniques","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Transport engineering; Pace; Market penetration; Level of service; Service (business); Investment (military); Government (linguistics); Business; Engineering; Geography","score_opus":0.03714913105922306,"score_gpt":0.2570334329210245,"score_spread":0.2198843018618014,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2955618070","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9817271,0.00018301464,0.008600048,0.00020701461,0.000028986267,0.000054940792,0.00046558902,0.00007760709,0.008655654],"genre_scores_gemma":[0.9978592,0.000051057348,0.000966556,0.000008916112,0.0000037121692,0.000009919832,0.0002559137,0.0000069404323,0.00083776785],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99946076,0.000110519795,0.000014879035,0.00006121874,0.00017251172,0.00018009069],"domain_scores_gemma":[0.99922943,0.00020429153,0.000062640946,0.000022388545,0.0003887835,0.00009244851],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00077311,0.0007763781,0.00035293776,0.0013585032,0.00065715524,0.0013456675,0.00056263077,0.00083177746,0.0024405117],"category_scores_gemma":[0.0011569716,0.0002071996,0.00073857355,0.0008326656,0.00035923885,0.0007808849,0.00054099405,0.00050728663,0.00022844785],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00025566135,0.00015887748,0.0318501,0.00007402495,0.00006500351,0.00035233703,0.00012554585,0.93798625,0.0051492946,0.0025627103,0.0016590523,0.019761188],"study_design_scores_gemma":[0.000009664667,0.00044020597,0.020432724,0.000015351961,0.000052020474,0.000050160987,0.00064569147,0.9744451,0.0021132205,0.0006402657,0.0011292764,0.000026406424],"about_ca_topic_score_codex":0.08234097,"about_ca_topic_score_gemma":0.06105256,"teacher_disagreement_score":0.08234097,"about_ca_system_score_codex":0.0037677325,"about_ca_system_score_gemma":0.0016424208,"threshold_uncertainty_score":0.16372335},"labels":[],"label_agreement":null},{"id":"W2955632512","doi":"10.22260/isarc2019/0021","title":"The Benefits of and Barriers to BIM Adoption in Canada","year":2019,"lang":"en","type":"article","venue":"Proceedings of the ... ISARC","topic":"BIM and Construction Integration","field":"Engineering","cited_by":22,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Building information modeling; Download; Stakeholder; Asset (computer security); Benchmark (surveying); Process (computing); Business; Computer science; Engineering; Public relations; Political science; World Wide Web; Operations management; Geography","score_opus":0.004210997466046068,"score_gpt":0.1643606300440972,"score_spread":0.16014963257805115,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2955632512","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97619617,0.0006897525,0.00029177728,0.004807808,0.000028027707,0.00009849432,0.001617846,0.000030788022,0.016239326],"genre_scores_gemma":[0.9962542,0.0007748334,0.00037206334,0.00025205166,0.0000029579573,0.000040895855,0.00040304734,0.000009490283,0.0018902884],"study_design_codex":"observational","study_design_gemma":"qualitative","domain_scores_codex":[0.9930704,0.00060398964,0.0002670617,0.0003582891,0.0037125936,0.0019876508],"domain_scores_gemma":[0.9874379,0.0017815313,0.0011628043,0.00024283335,0.006997683,0.0023772141],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003312251,0.00028149007,0.0003930445,0.0024348474,0.0065889913,0.0041539907,0.0011336548,0.00055316155,0.0031636532],"category_scores_gemma":[0.011810365,0.0003486245,0.00040170347,0.007664855,0.0023597404,0.0012126432,0.0036192103,0.0014285423,0.00020352902],"study_design_candidate":"qualitative","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00023921105,0.00027071018,0.79143876,0.00047390405,0.000061431085,0.0006170026,0.074890815,0.0008339403,0.0008597558,0.008698825,0.015395648,0.1062201],"study_design_scores_gemma":[0.000008735273,0.000050652612,0.87198967,0.0002854256,0.000025913247,0.0000715906,0.10489523,0.0011711379,0.0003462921,0.00038123602,0.020685924,0.00008816265],"about_ca_topic_score_codex":0.9944108,"about_ca_topic_score_gemma":0.99611986,"teacher_disagreement_score":0.07779263,"about_ca_system_score_codex":0.07779263,"about_ca_system_score_gemma":0.17255639,"threshold_uncertainty_score":0.5644277},"labels":[],"label_agreement":null},{"id":"W2955700711","doi":"10.22260/isarc2019/0096","title":"Measuring and Positioning System Design of Robotic Floor-tiling","year":2019,"lang":"en","type":"article","venue":"Proceedings of the ... ISARC","topic":"Modular Robots and Swarm Intelligence","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Modular design; Computer science; Robot; Embedded system; Controller (irrigation); Positioning system; Control system; Computer hardware; Operating system; Artificial intelligence; Engineering","score_opus":0.020137276816820718,"score_gpt":0.18182721989068398,"score_spread":0.16168994307386325,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2955700711","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0182565,0.00015360567,0.97381717,0.00008437051,0.00006594343,0.00016751916,0.00004456971,0.001431071,0.0059793238],"genre_scores_gemma":[0.6530642,0.00018986705,0.33928472,0.000089093686,0.000050137383,0.00034210196,0.00018375576,0.00012818936,0.006668054],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9993088,0.0001036996,0.00004181133,0.0002126305,0.0002755151,0.0000574583],"domain_scores_gemma":[0.99960154,0.00006084372,0.000061927596,0.00005570075,0.00019132176,0.000028640588],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004376495,0.00060709263,0.0005712795,0.0004507571,0.0004993201,0.0006548385,0.0009919017,0.00053725205,0.0039697387],"category_scores_gemma":[0.0006722958,0.00031101142,0.00038930387,0.00030689838,0.00041738342,0.00049182243,0.0005416209,0.00031566794,0.0012267482],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003374038,0.000077517325,0.0033540796,0.00063701865,0.000090235306,0.0005448862,0.00062896166,0.27457348,0.32644942,0.01707284,0.0037374774,0.37249666],"study_design_scores_gemma":[0.00009175672,0.0007660477,0.0045272806,0.00005298336,0.000110651235,0.0006505288,0.00012495657,0.84674776,0.108395085,0.00424455,0.034208346,0.00008002515],"about_ca_topic_score_codex":0.0027797723,"about_ca_topic_score_gemma":0.0018412303,"teacher_disagreement_score":0.0039697387,"about_ca_system_score_codex":0.0006493203,"about_ca_system_score_gemma":0.0011889514,"threshold_uncertainty_score":0.013280094},"labels":[],"label_agreement":null},{"id":"W2955834355","doi":"10.22260/isarc2019/0157","title":"Through-Wall Object Recognition and Pose Estimation","year":2019,"lang":"en","type":"article","venue":"Proceedings of the ... ISARC","topic":"3D Surveying and Cultural Heritage","field":"Earth and Planetary Sciences","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Artificial intelligence; Computer science; Ground truth; Computer vision; Object (grammar); Artificial neural network; Pose; Robot; Radio frequency; Sight; Telecommunications; Physics","score_opus":0.02506829984917266,"score_gpt":0.2070394570677106,"score_spread":0.18197115721853793,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2955834355","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.029613327,0.00028063133,0.9614844,0.00008063067,0.00013277885,0.00018307168,0.0004415355,0.0050551402,0.0027285279],"genre_scores_gemma":[0.41319093,0.0006819089,0.56543005,0.00020539803,0.00012579438,0.00037378143,0.0046315333,0.00060821744,0.014752286],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99849784,0.00015557978,0.000075291384,0.00056971435,0.00045941494,0.00024207064],"domain_scores_gemma":[0.9991554,0.000112649905,0.00011926102,0.00032281218,0.000237299,0.000052633404],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00080367574,0.0020730647,0.0014322932,0.001905926,0.0004400407,0.001555756,0.0018873267,0.0019022307,0.006702832],"category_scores_gemma":[0.0019418888,0.00059225847,0.0016152213,0.00120759,0.0006929837,0.0019390271,0.0021215696,0.0008827519,0.006898296],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00026177714,0.00023905057,0.0040338114,0.00011975331,0.00010119249,0.00026613826,0.00006799096,0.04349816,0.052513573,0.0015518984,0.007418858,0.8899278],"study_design_scores_gemma":[0.000015278745,0.0001694544,0.0059773833,0.000041695082,0.00004097337,0.00037110152,0.00011403874,0.9227121,0.059632044,0.0030719002,0.007807502,0.00004647126],"about_ca_topic_score_codex":0.0030347304,"about_ca_topic_score_gemma":0.0037042722,"teacher_disagreement_score":0.006702832,"about_ca_system_score_codex":0.00041530412,"about_ca_system_score_gemma":0.000710055,"threshold_uncertainty_score":0.022423208},"labels":[],"label_agreement":null},{"id":"W2955920358","doi":"10.22260/isarc2019/0154","title":"Efforts to Unmanned Construction for Post-disaster Restoration and Reconstruction","year":2019,"lang":"en","type":"article","venue":"Proceedings of the ... ISARC","topic":"Modular Robots and Swarm Intelligence","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Web crawler; Download; Software deployment; Robot; Disaster area; Situation awareness; Computer science; Rescue robot; World Wide Web; Engineering; Mobile robot; Artificial intelligence; Geography; Software engineering; Aerospace engineering","score_opus":0.006680713117750767,"score_gpt":0.19540354240999316,"score_spread":0.1887228292922424,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2955920358","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.17075552,0.04190931,0.42417708,0.024389366,0.004224774,0.00080398255,0.0005029575,0.0033438322,0.32989317],"genre_scores_gemma":[0.5151478,0.038834132,0.23225194,0.0016492864,0.00057985913,0.00028175657,0.0013934326,0.0004608377,0.20940101],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99928147,0.00013070065,0.000025672087,0.00010182238,0.0003364437,0.00012385858],"domain_scores_gemma":[0.9991172,0.000105067564,0.00007084098,0.00013975627,0.00035860614,0.00020843532],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001183711,0.00054648163,0.00018394428,0.0009296046,0.00089292816,0.0012401774,0.000536463,0.00056349323,0.008395116],"category_scores_gemma":[0.00068542274,0.00016992958,0.00031630028,0.0006495799,0.00092447497,0.0012404486,0.0024776657,0.00085922313,0.0022561518],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00010332932,0.00018651999,0.0038505704,0.00070568145,0.000045126133,0.00030320085,0.0018899401,0.005439634,0.03559381,0.031421762,0.054337908,0.8661224],"study_design_scores_gemma":[0.00002151856,0.00041511332,0.009093693,0.00025918137,0.000036031135,0.00054473797,0.001754172,0.0048222807,0.015234366,0.0050803088,0.962697,0.000041644344],"about_ca_topic_score_codex":0.0063710613,"about_ca_topic_score_gemma":0.008203596,"teacher_disagreement_score":0.008395116,"about_ca_system_score_codex":0.0008709664,"about_ca_system_score_gemma":0.003288158,"threshold_uncertainty_score":0.028084397},"labels":[],"label_agreement":null},{"id":"W2955999842","doi":"10.22260/isarc2019/0125","title":"Analysis of the Perceptions of Beneficiaries and Intermediaries on Implementing IPD in Indian Construction","year":2019,"lang":"en","type":"article","venue":"Proceedings of the ... ISARC","topic":"Construction Project Management and Performance","field":"Decision Sciences","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Intermediary; Integrated project delivery; Business; Distrust; Inefficiency; Exploratory research; Marketing; Project management; Public relations; Knowledge management; Management; Economics; Political science; Sociology","score_opus":0.021612736862027616,"score_gpt":0.3047528186413269,"score_spread":0.2831400817792993,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2955999842","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99695635,0.000056992052,0.00015801351,0.00037106578,0.0000042810125,0.00003240794,0.000017022434,0.0000024869116,0.0024014125],"genre_scores_gemma":[0.9987685,0.00019488024,0.00014473502,0.00007676365,0.0000035956427,0.000022508695,0.000019507483,0.0000027691121,0.0007667352],"study_design_codex":"qualitative","study_design_gemma":"qualitative","domain_scores_codex":[0.99529296,0.0017778709,0.00026732727,0.0001589662,0.0013563848,0.0011464455],"domain_scores_gemma":[0.98934084,0.0034101473,0.0023837322,0.00026767686,0.0017084731,0.002889061],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0054038004,0.00032889578,0.0003457013,0.0016432038,0.0033165466,0.003115583,0.00082321785,0.00079193094,0.004967927],"category_scores_gemma":[0.010028916,0.0004031601,0.00037983636,0.00113369,0.0024535928,0.0015216903,0.004354188,0.0019557006,0.0005234962],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00018458739,0.0006536685,0.33652684,0.0004432804,0.000046469722,0.0026961125,0.6153645,0.0003437255,0.004532824,0.0023635614,0.0017593986,0.035085004],"study_design_scores_gemma":[0.000003067747,0.00021265922,0.13617873,0.00013812435,0.000013145478,0.00026984874,0.859022,0.00025604843,0.00029075996,0.00014292495,0.003443539,0.000029008652],"about_ca_topic_score_codex":0.009834591,"about_ca_topic_score_gemma":0.013043349,"teacher_disagreement_score":0.009834591,"about_ca_system_score_codex":0.0022015865,"about_ca_system_score_gemma":0.0029987623,"threshold_uncertainty_score":0.0285784},"labels":[],"label_agreement":null},{"id":"W2956024677","doi":"10.22260/isarc2019/0034","title":"Accurate Position Control for Hydraulic Servomechanisms","year":2019,"lang":"en","type":"article","venue":"Proceedings of the ... ISARC","topic":"Hydraulic and Pneumatic Systems","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Computer science; Position (finance); Control theory (sociology); Control (management); Control engineering; Hydraulic machinery; Artificial intelligence; Engineering; Mechanical engineering; Business","score_opus":0.007096110264847578,"score_gpt":0.1953020138482532,"score_spread":0.1882059035834056,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2956024677","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.03791048,0.0027686912,0.95054734,0.0001632672,0.00020219132,0.000064092645,0.000036289613,0.0008331691,0.0074744974],"genre_scores_gemma":[0.9341938,0.000890401,0.05831978,0.00004266535,0.00008127142,0.0000557649,0.00005681635,0.000056641824,0.006302771],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99950314,0.00006730483,0.000026566659,0.000064038744,0.00030398043,0.000035014717],"domain_scores_gemma":[0.99962485,0.00015919571,0.00007044247,0.000054191623,0.000079655,0.000011686924],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00033739352,0.00048433588,0.00035743497,0.00033533285,0.00022494786,0.00065322604,0.00041415895,0.00043198757,0.0023592343],"category_scores_gemma":[0.0008150789,0.00021848983,0.00019518723,0.0002294916,0.00061341055,0.0005967114,0.0004267502,0.0005572992,0.0005193484],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003504118,0.00009478923,0.00035872054,0.0007608314,0.00003599808,0.00015296026,0.0003049213,0.34578216,0.24881649,0.05161172,0.002337079,0.3493939],"study_design_scores_gemma":[0.00007209635,0.00070964824,0.00088313106,0.000075150725,0.000024252093,0.00014213593,0.000032875567,0.90579104,0.054482315,0.01431507,0.023431877,0.000040367784],"about_ca_topic_score_codex":0.0008074474,"about_ca_topic_score_gemma":0.0008035283,"teacher_disagreement_score":0.0023592343,"about_ca_system_score_codex":0.00038464653,"about_ca_system_score_gemma":0.00031738167,"threshold_uncertainty_score":0.00789243},"labels":[],"label_agreement":null},{"id":"W2956029429","doi":"10.22260/isarc2019/0107","title":"Application of Virtual Reality in Task Training in the Construction Manufacturing Industry","year":2019,"lang":"en","type":"article","venue":"Proceedings of the ... ISARC","topic":"BIM and Construction Integration","field":"Engineering","cited_by":50,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Task (project management); Virtual reality; Automation; Computer science; Manufacturing; Quality (philosophy); Human–computer interaction; Virtual machine; Manufacturing engineering; Simulation; Engineering; Systems engineering; Operating system","score_opus":0.010830899780006707,"score_gpt":0.2117044826069254,"score_spread":0.2008735828269187,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2956029429","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.651626,0.018315705,0.25511533,0.0023013887,0.00032422435,0.00051726535,0.00025600265,0.0009921853,0.07055186],"genre_scores_gemma":[0.93266445,0.0051603937,0.05891298,0.0001669276,0.000057827434,0.00011229412,0.00008137185,0.00003947086,0.0028043373],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99863297,0.00083214993,0.000040804403,0.00008274789,0.00032300083,0.000088248875],"domain_scores_gemma":[0.9989214,0.0007136327,0.00006909539,0.00007283243,0.00016709839,0.000056084868],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013370648,0.00036785335,0.0002268218,0.0011169806,0.00022305155,0.0010667314,0.00048101682,0.0006989484,0.0028544962],"category_scores_gemma":[0.0019771832,0.00018625808,0.00034143482,0.00066208007,0.00042593371,0.00047482463,0.0012506208,0.00033054766,0.00046404736],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005684473,0.000796072,0.0071821893,0.0011038209,0.00008447366,0.00041252238,0.0028928325,0.020075323,0.043325607,0.003321758,0.0038417012,0.91639537],"study_design_scores_gemma":[0.00042844625,0.0141893,0.3012509,0.0041400827,0.0007060439,0.006343742,0.015852762,0.28000185,0.14299761,0.013390261,0.2199152,0.0007837806],"about_ca_topic_score_codex":0.0016362563,"about_ca_topic_score_gemma":0.0018342625,"teacher_disagreement_score":0.0028544962,"about_ca_system_score_codex":0.00037263325,"about_ca_system_score_gemma":0.0004110415,"threshold_uncertainty_score":0.00954926},"labels":[],"label_agreement":null},{"id":"W2956056060","doi":"10.22260/isarc2019/0112","title":"Using Virtual Reality Simulation for Optimizing Traffic Modes Toward Service Level Enhancements.","year":2019,"lang":"en","type":"article","venue":"Proceedings of the ... ISARC","topic":"Simulation Techniques and Applications","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Virtual reality; Computer science; Service (business); Service level; Level of service; Download; Key (lock); Automation; Transport engineering; Human–computer interaction; World Wide Web; Engineering; Computer security; Business","score_opus":0.40464683865144835,"score_gpt":0.4559612358841783,"score_spread":0.05131439723272996,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2956056060","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.52642864,0.001657531,0.42791802,0.0006847283,0.00015508848,0.000375017,0.0005185918,0.0018430364,0.040419377],"genre_scores_gemma":[0.9423928,0.0004661564,0.054142796,0.000027757997,0.000008213062,0.00008563121,0.00020129718,0.00006901533,0.0026063595],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997421,0.00009865071,0.000012589833,0.000029364086,0.000081737526,0.00003551002],"domain_scores_gemma":[0.99968815,0.00014500153,0.000039070055,0.000028171098,0.00007022543,0.000029474162],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00053106097,0.00057391165,0.0002679862,0.0006909298,0.00028609807,0.0010472469,0.00041879647,0.0005327549,0.0026938606],"category_scores_gemma":[0.0010704986,0.0003468617,0.0006655427,0.00041100287,0.00021219692,0.0007272124,0.00065306545,0.00044478258,0.0005073758],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00031059637,0.00029815928,0.004851815,0.00020263996,0.000049042097,0.00012782768,0.00023044624,0.8568403,0.025372893,0.0030356683,0.0015392735,0.107141286],"study_design_scores_gemma":[0.000035519795,0.00042720264,0.0030395791,0.00003227948,0.00007165376,0.00007186879,0.00025416262,0.9755467,0.013434518,0.0011530656,0.0058864276,0.000046908717],"about_ca_topic_score_codex":0.0052787494,"about_ca_topic_score_gemma":0.0053601684,"teacher_disagreement_score":0.0052787494,"about_ca_system_score_codex":0.00048202084,"about_ca_system_score_gemma":0.0005913932,"threshold_uncertainty_score":0.01049602},"labels":[],"label_agreement":null},{"id":"W2956114766","doi":"10.22260/isarc2019/0024","title":"Automated Mathematical-Based Design Framework for The Selection of Rigging Configuration","year":2019,"lang":"en","type":"article","venue":"Proceedings of the ... ISARC","topic":"BIM and Construction Integration","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Offset (computer science); Modular programming; Row; Computer science; Engineering drawing; Engineering; Reliability engineering; Database","score_opus":0.013670427000141792,"score_gpt":0.22913067007729132,"score_spread":0.21546024307714953,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2956114766","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0015885999,0.0000925677,0.9934221,0.000040679693,0.000011599395,0.00022971744,0.00013551237,0.0028262427,0.0016530117],"genre_scores_gemma":[0.043070618,0.00020601682,0.95317066,0.00006177033,0.000019357261,0.00058913854,0.0009537224,0.00046792498,0.0014608083],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9959943,0.000733594,0.00038598705,0.0005234881,0.002049701,0.00031287083],"domain_scores_gemma":[0.9976476,0.0009263138,0.00023585492,0.00039183788,0.0007132374,0.00008525017],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0040021176,0.0025335564,0.0017660571,0.0038571844,0.0009647001,0.0036304232,0.0036931548,0.0012822944,0.008723729],"category_scores_gemma":[0.0064621023,0.001387602,0.0034498773,0.0012638374,0.0011635548,0.001875158,0.0027596492,0.001690623,0.0031836],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002590719,0.00038459987,0.0021932134,0.0013610843,0.00018624774,0.0008332128,0.000744965,0.5255439,0.0323252,0.08089846,0.008280927,0.3469891],"study_design_scores_gemma":[0.000069617374,0.0001268,0.00025577468,0.00015264355,0.00007730296,0.00027317222,0.00010269606,0.950367,0.009097773,0.015254678,0.024161119,0.00006149444],"about_ca_topic_score_codex":0.0049325526,"about_ca_topic_score_gemma":0.0063812267,"teacher_disagreement_score":0.008723729,"about_ca_system_score_codex":0.0014387605,"about_ca_system_score_gemma":0.0033450255,"threshold_uncertainty_score":0.029183805},"labels":[],"label_agreement":null},{"id":"W2978513038","doi":"10.22260/isarc2019/0010","title":"Identifying Moderation Effect between Project Delivery Systems and Cost Performance","year":2019,"lang":"en","type":"article","venue":"Proceedings of the ... ISARC","topic":"Construction Project Management and Performance","field":"Decision Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Moderation; Computer science; Causal model; Test (biology); Integrated project delivery; Project management; Engineering; Statistics; Systems engineering; Mathematics","score_opus":0.0786906251897722,"score_gpt":0.3333214074933212,"score_spread":0.25463078230354896,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2978513038","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9827017,0.00075369515,0.008825352,0.00096126704,0.00014418393,0.0003472012,0.0006070046,0.000052646494,0.0056068446],"genre_scores_gemma":[0.9953661,0.00016328818,0.0026590077,0.00011374376,0.000031553405,0.0004282447,0.00038339017,0.000020605752,0.0008342096],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9833627,0.010649998,0.0009848495,0.0017446432,0.002070077,0.0011878036],"domain_scores_gemma":[0.8696564,0.10597684,0.009563363,0.004690531,0.0070494376,0.0030634636],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.017167341,0.00086952525,0.0007863243,0.0016346237,0.0009588174,0.0019727508,0.0008507712,0.00074274844,0.00874839],"category_scores_gemma":[0.072469346,0.00043215067,0.0018358425,0.0014818488,0.00084463594,0.0020637733,0.003615917,0.0020603018,0.00062320294],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0009478301,0.0005913663,0.95222497,0.00057916297,0.0013355067,0.00013069152,0.0041294866,0.0008749451,0.0011646176,0.004139861,0.0013753239,0.03250617],"study_design_scores_gemma":[0.00018218685,0.0013493669,0.9677137,0.0006212802,0.0021951299,0.0000877422,0.005776531,0.007963437,0.0035059545,0.004294068,0.0062513724,0.000059224003],"about_ca_topic_score_codex":0.0028612155,"about_ca_topic_score_gemma":0.00256833,"teacher_disagreement_score":0.017167341,"about_ca_system_score_codex":0.0014505639,"about_ca_system_score_gemma":0.0028666789,"threshold_uncertainty_score":0.09079069},"labels":[],"label_agreement":null},{"id":"W2978698363","doi":"10.22260/isarc2019/0070","title":"Adaptive Automation Strategies for Robotic Prefabrication of Parametrized Mass Timber Building Components","year":2019,"lang":"en","type":"article","venue":"Proceedings of the ... ISARC","topic":"Innovations in Concrete and Construction Materials","field":"Engineering","cited_by":12,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Prefabrication; Automation; Modular design; Mass customization; Workflow; Engineering; Computer science; Systems engineering; Software engineering; Architectural engineering; Manufacturing engineering; Personalization; Civil engineering; World Wide Web; Mechanical engineering","score_opus":0.016939500314954718,"score_gpt":0.22880101387618199,"score_spread":0.21186151356122726,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2978698363","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.16980146,0.00045371798,0.8175376,0.00006296094,0.00003644483,0.0001353141,0.000027231306,0.00078852,0.011156769],"genre_scores_gemma":[0.85111713,0.00022903275,0.1447696,0.000025230378,0.000008077291,0.00007562306,0.000038409777,0.000072633105,0.0036642863],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99970955,0.000037985887,0.000015913321,0.00006385143,0.00013328511,0.000039366212],"domain_scores_gemma":[0.99974126,0.00008800734,0.00005938915,0.00005766848,0.000040374936,0.000013315574],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00032413378,0.000521693,0.00023879611,0.00040548175,0.00027337507,0.00063097547,0.0006836692,0.00039423158,0.003067923],"category_scores_gemma":[0.0005090318,0.00028373481,0.00034715247,0.00024406053,0.0005537663,0.0006339593,0.00075072487,0.0004458147,0.00060458085],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00013727653,0.00015807952,0.0012038322,0.0002911963,0.00003550748,0.00038002906,0.0006952024,0.13111117,0.6421793,0.014242505,0.0006648691,0.20890096],"study_design_scores_gemma":[0.000055876295,0.0009736095,0.005458099,0.000077779754,0.000057953734,0.0006749125,0.000438998,0.63297075,0.3123996,0.014708284,0.032097444,0.00008678349],"about_ca_topic_score_codex":0.00051839487,"about_ca_topic_score_gemma":0.00092783256,"teacher_disagreement_score":0.003067923,"about_ca_system_score_codex":0.000288205,"about_ca_system_score_gemma":0.00020068264,"threshold_uncertainty_score":0.010263205},"labels":[],"label_agreement":null},{"id":"W2978753974","doi":"10.22260/isarc2019/0026","title":"Identification of the Structural State in Automated Modular Construction","year":2019,"lang":"en","type":"article","venue":"Proceedings of the ... ISARC","topic":"BIM and Construction Integration","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Identification (biology); Modular design; Computer science; Frame (networking); Scope (computer science); State (computer science); Strain gauge; Artificial intelligence; Machine learning; Accelerometer; Reliability engineering; Engineering; Programming language; Structural engineering","score_opus":0.0033597052930829465,"score_gpt":0.1863410040561371,"score_spread":0.18298129876305416,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2978753974","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.71406627,0.000101297795,0.28387907,0.000044370536,0.000009245757,0.000044363085,0.000070701884,0.00057956413,0.0012050619],"genre_scores_gemma":[0.98308265,0.000023453227,0.016526503,0.0000029123103,0.0000021141307,0.00001646954,0.000045821464,0.00000856709,0.00029148057],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9995617,0.00013531718,0.000015004044,0.000088417,0.0001561821,0.000043352626],"domain_scores_gemma":[0.9989096,0.0005523158,0.00023513594,0.000088461085,0.0001779745,0.000036396363],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004702498,0.00035225015,0.0004160203,0.00078248675,0.00018989766,0.0003971567,0.00043762737,0.00039734982,0.00073738326],"category_scores_gemma":[0.0018196236,0.0002645073,0.00023848418,0.00045299547,0.0004001891,0.00043201662,0.00060244085,0.0002555324,0.0001836504],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000686596,0.00024685758,0.022630269,0.0001763267,0.00006161463,0.00031921305,0.00065046037,0.5264709,0.08353427,0.0023295777,0.00061401085,0.36227992],"study_design_scores_gemma":[0.0000072031207,0.00015246775,0.011981521,0.000007970589,0.000007686542,0.000050981736,0.00007261683,0.9790283,0.0073544956,0.0011148818,0.00020898145,0.000012877448],"about_ca_topic_score_codex":0.00222116,"about_ca_topic_score_gemma":0.002413355,"teacher_disagreement_score":0.00222116,"about_ca_system_score_codex":0.00041181003,"about_ca_system_score_gemma":0.00030443678,"threshold_uncertainty_score":0.0044164658},"labels":[],"label_agreement":null},{"id":"W3216759427","doi":"10.22260/isarc2021/0053","title":"Point Cloud Semantic Segmentation of Concrete Surface Defects Using Dynamic Graph CNN","year":2021,"lang":"en","type":"article","venue":"Proceedings of the ... ISARC","topic":"Infrastructure Maintenance and Monitoring","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Concordia University","funders":"","keywords":"Point cloud; Computer science; Segmentation; Convolutional neural network; Artificial intelligence; Deep learning; Graph; Cloud computing; Computer vision; Theoretical computer science","score_opus":0.0067804597895946275,"score_gpt":0.2142074917477245,"score_spread":0.20742703195812986,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3216759427","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.30040988,0.0005549902,0.6876942,0.00031691373,0.00010255821,0.00013552797,0.0011652341,0.0053086253,0.0043120286],"genre_scores_gemma":[0.88100797,0.0002886645,0.11340444,0.00013221508,0.000027431719,0.00005500602,0.002226119,0.0001274698,0.0027306904],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99983454,0.00001082728,0.0000054549782,0.00006424211,0.000046000336,0.000038869464],"domain_scores_gemma":[0.9998511,0.000021706848,0.000027356333,0.000027247812,0.00005837387,0.000014099962],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00017357543,0.00091664155,0.00046449542,0.0012338462,0.00017787958,0.0005387163,0.0008984597,0.00061850494,0.00091613596],"category_scores_gemma":[0.0004254899,0.00030963068,0.000735248,0.00080554874,0.00033326703,0.0007578095,0.00049894635,0.0004750168,0.00035423116],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003711578,0.00022986405,0.00787667,0.00010602968,0.00018661439,0.0002885779,0.00009401686,0.49221382,0.06174974,0.002438256,0.005019031,0.42942625],"study_design_scores_gemma":[0.000002944843,0.000021087964,0.0018569023,0.0000037798543,0.000010997271,0.000034483004,0.000012875322,0.99187976,0.0053086276,0.0005370369,0.00032671634,0.00000472307],"about_ca_topic_score_codex":0.027028777,"about_ca_topic_score_gemma":0.03259209,"teacher_disagreement_score":0.027028777,"about_ca_system_score_codex":0.0011431234,"about_ca_system_score_gemma":0.0006185406,"threshold_uncertainty_score":0.053742886},"labels":[],"label_agreement":null},{"id":"W3216806283","doi":"10.22260/isarc2021/0138","title":"Towards an Ontology for BIM-Based Robotic Navigation and Inspection Tasks","year":2021,"lang":"en","type":"article","venue":"Proceedings of the ... ISARC","topic":"BIM and Construction Integration","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"","keywords":"Ontology; Building information modeling; Computer science; Scope (computer science); Robotics; Process (computing); Software engineering; Domain (mathematical analysis); Robot; Systems engineering; Artificial intelligence; Download; Human–computer interaction; World Wide Web; Engineering","score_opus":0.012603748065067347,"score_gpt":0.22960319666651893,"score_spread":0.2169994486014516,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3216806283","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.005835405,0.00033819326,0.98097044,0.00088635535,0.00010796252,0.00037519675,0.000627926,0.00086005195,0.009998375],"genre_scores_gemma":[0.053180363,0.0008386456,0.9393072,0.0003349849,0.000037104546,0.0005265576,0.0026199329,0.00022330262,0.0029318207],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99673295,0.0009154524,0.0005246675,0.0003642383,0.0012378253,0.0002248641],"domain_scores_gemma":[0.99835,0.00040449307,0.00019836974,0.00033579115,0.0005675232,0.00014377841],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004105232,0.00080202246,0.00076203066,0.0030457738,0.0015910685,0.004259266,0.0019170638,0.0016305022,0.0016060843],"category_scores_gemma":[0.004044895,0.0008095468,0.002198777,0.0032329638,0.002175611,0.0060092895,0.0039675147,0.0028322847,0.0012323809],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009303872,0.00053833,0.0028262467,0.0011145428,0.00013006221,0.0011945012,0.006172116,0.038055353,0.01629521,0.69526005,0.013779673,0.22454089],"study_design_scores_gemma":[0.00005709419,0.00010614369,0.0036641986,0.0014725979,0.00023193446,0.0015665425,0.004316868,0.21245266,0.0102348095,0.2105449,0.55518115,0.00017108856],"about_ca_topic_score_codex":0.016515145,"about_ca_topic_score_gemma":0.016610064,"teacher_disagreement_score":0.016515145,"about_ca_system_score_codex":0.0023450714,"about_ca_system_score_gemma":0.0061297314,"threshold_uncertainty_score":0.032837987},"labels":[],"label_agreement":null},{"id":"W3544051","doi":"10.22260/isarc2013/0005","title":"Correlation-Based Model for Evaluating Ground Penetrating Radar (GPR) Data of Concrete Bridge Decks","year":2013,"lang":"en","type":"article","venue":"Proceedings of the ... ISARC","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Ground-penetrating radar; Bridge (graph theory); Rebar; Radar; Nondestructive testing; Structural engineering; Geology; Slab; Computer science; Geotechnical engineering; Engineering; Telecommunications","score_opus":0.09223943548298627,"score_gpt":0.3226200491990632,"score_spread":0.2303806137160769,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3544051","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.025177386,0.0003737159,0.97082436,0.00012680773,0.00003585215,0.000097332064,0.00017547816,0.0007241201,0.0024649391],"genre_scores_gemma":[0.89790565,0.0011330672,0.09090405,0.00013457514,0.00007420571,0.00056174834,0.0007145011,0.0002571756,0.008314932],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9989498,0.0002506186,0.000049308524,0.00022709648,0.0004122662,0.000110864545],"domain_scores_gemma":[0.99858814,0.00065183337,0.00015913014,0.000077345845,0.00049102557,0.00003247386],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013250433,0.001125965,0.000791303,0.0012190371,0.0002750063,0.0012148174,0.00161004,0.0013119539,0.0016291235],"category_scores_gemma":[0.0033203696,0.00046536545,0.0010343529,0.0008679748,0.0005571746,0.0010439566,0.0006643305,0.00092012907,0.0011668636],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000072605006,0.00004321614,0.0016767548,0.000066655586,0.000036572033,0.00011156612,0.000051299,0.9697306,0.004662448,0.0026530721,0.0006658322,0.02022934],"study_design_scores_gemma":[0.0000017226151,0.000013361149,0.00023621804,0.0000038758913,0.000008244654,0.000020389374,0.000004034035,0.9988625,0.00040799993,0.00030260585,0.00013374707,0.000005305856],"about_ca_topic_score_codex":0.007893291,"about_ca_topic_score_gemma":0.0040621916,"teacher_disagreement_score":0.007893291,"about_ca_system_score_codex":0.0011103823,"about_ca_system_score_gemma":0.00095448655,"threshold_uncertainty_score":0.015694678},"labels":[],"label_agreement":null},{"id":"W367064978","doi":"10.22260/isarc2004/0076","title":"Integrated 3D Object Transformation and Simulation for Tower Crane Operations on Construction Sites","year":2004,"lang":"en","type":"article","venue":"Proceedings of the ... ISARC","topic":"BIM and Construction Integration","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada; Neurosurgery Research and Education Foundation","keywords":"Lift (data mining); Computer science; Tower; Animation; Transformation (genetics); Computer graphics (images); 3D modeling; Engineering drawing; Model transformation; Simulation; Engineering; Structural engineering; Artificial intelligence","score_opus":0.011054884688218532,"score_gpt":0.22015913644642057,"score_spread":0.20910425175820205,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W367064978","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.03682679,0.000038356353,0.9563624,0.00006014228,0.000020307863,0.00006876676,0.00012666611,0.0013485859,0.0051479843],"genre_scores_gemma":[0.60495114,0.00020921398,0.39048365,0.000033283937,0.00000928875,0.00022556087,0.00051355094,0.00043422967,0.0031400584],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999577,0.00010736326,0.000020464566,0.000035083092,0.00023398979,0.000026029504],"domain_scores_gemma":[0.99975044,0.000101388476,0.000021695865,0.00005343444,0.000057243364,0.000015798296],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00049683684,0.00051862915,0.0005337221,0.0006168622,0.0004305688,0.0009963205,0.0007586476,0.00067736174,0.0027983433],"category_scores_gemma":[0.0009487577,0.00046645734,0.0007656629,0.0005871399,0.00058607175,0.0007122739,0.0009184145,0.0004985701,0.0005933902],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006058382,0.000044543536,0.000938461,0.000035454996,0.000014841919,0.00007286606,0.00015774622,0.9598768,0.005395801,0.009941215,0.00031268923,0.023148995],"study_design_scores_gemma":[0.000008640176,0.00001943717,0.00018913689,0.000004976715,0.000004088779,0.000024463496,0.000023482424,0.99163014,0.003801217,0.0014530396,0.0028319217,0.00000947621],"about_ca_topic_score_codex":0.0072674616,"about_ca_topic_score_gemma":0.0073576756,"teacher_disagreement_score":0.0072674616,"about_ca_system_score_codex":0.00073600654,"about_ca_system_score_gemma":0.00097352563,"threshold_uncertainty_score":0.014450371},"labels":[],"label_agreement":null},{"id":"W39773279","doi":"10.22260/isarc2013/0127","title":"Automatic Generation of BIM Using Parametric Family","year":2013,"lang":"en","type":"article","venue":"Proceedings of the ... ISARC","topic":"BIM and Construction Integration","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Caisson; Parametric statistics; Computer science; Process (computing); Parametric model; Parametric design; Engineering; Engineering drawing; Structural engineering; Operating system","score_opus":0.02715872810437804,"score_gpt":0.21026161080028583,"score_spread":0.1831028826959078,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W39773279","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.008308721,0.00003866459,0.97894555,0.00003267805,0.000025798354,0.000089122936,0.0003469893,0.008685425,0.0035270078],"genre_scores_gemma":[0.21127072,0.00020177723,0.7752249,0.000053736465,0.000020339925,0.00040170734,0.0034681293,0.0052981116,0.004060522],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9989636,0.00018246801,0.00006592036,0.00019250896,0.0005143957,0.00008103998],"domain_scores_gemma":[0.9987779,0.0004302674,0.00007546925,0.00030302728,0.00037257353,0.000040738858],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013146126,0.0013705081,0.00091354153,0.0020827923,0.00072429446,0.0013342623,0.0015038935,0.0007492561,0.009992878],"category_scores_gemma":[0.0032660782,0.0010748262,0.0019199209,0.0010507125,0.0005880267,0.0012942275,0.0021798282,0.0008980604,0.00396837],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002465886,0.0001600748,0.0035784035,0.000607669,0.00011545137,0.0008958268,0.0009754415,0.40372193,0.050353874,0.03020135,0.020141853,0.48900163],"study_design_scores_gemma":[0.000024223262,0.000059695838,0.0004347894,0.00004133299,0.0000291475,0.0003421239,0.00011833525,0.937038,0.022475353,0.0067641027,0.032624785,0.000048173064],"about_ca_topic_score_codex":0.0016390551,"about_ca_topic_score_gemma":0.0018775951,"teacher_disagreement_score":0.009992878,"about_ca_system_score_codex":0.0005837813,"about_ca_system_score_gemma":0.0009028582,"threshold_uncertainty_score":0.033429444},"labels":[],"label_agreement":null},{"id":"W41663545","doi":"10.22260/isarc2013/0030","title":"Simulation Applications in Construction Site Layout Planning","year":2013,"lang":"en","type":"article","venue":"Proceedings of the ... ISARC","topic":"BIM and Construction Integration","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Computer science; Interdependence; Simulation modeling; Site planning; Download; Industrial engineering; Engineering; Engineering drawing; World Wide Web","score_opus":0.008611407247806728,"score_gpt":0.213155691069491,"score_spread":0.20454428382168427,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W41663545","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.011389487,0.003294867,0.96239233,0.00064711756,0.00017098639,0.00011939825,0.00021889106,0.002089222,0.019677773],"genre_scores_gemma":[0.36905584,0.011585322,0.6037263,0.00018855032,0.0002440134,0.0005504481,0.00087884,0.0008233976,0.012947324],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9989214,0.0006419577,0.00007792913,0.000091763155,0.0002217493,0.000045294164],"domain_scores_gemma":[0.9981384,0.0013286963,0.000058063077,0.00015646295,0.00023151503,0.000086841246],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012007047,0.00096105726,0.0011185127,0.0013408241,0.00057683105,0.0016346166,0.0009848276,0.0014199872,0.010311176],"category_scores_gemma":[0.0026674324,0.00079273817,0.0010472669,0.0029218683,0.0007304588,0.0010198423,0.0019482586,0.0012742329,0.002157151],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007623337,0.00008418323,0.0013818813,0.0002728835,0.00005726515,0.0002019208,0.00025613868,0.83748835,0.0024423043,0.035500597,0.004266168,0.117972136],"study_design_scores_gemma":[0.000022121529,0.000033570428,0.00030630437,0.00010229252,0.00001664788,0.000092708164,0.00007075927,0.9423703,0.0014026618,0.019653782,0.03590353,0.000025366426],"about_ca_topic_score_codex":0.0048185526,"about_ca_topic_score_gemma":0.0032235289,"teacher_disagreement_score":0.010311176,"about_ca_system_score_codex":0.0006971931,"about_ca_system_score_gemma":0.00096502603,"threshold_uncertainty_score":0.03449434},"labels":[],"label_agreement":null},{"id":"W4237253441","doi":"10.22260/isarc2016","title":"Proceedings of the 33rd International Symposium on Automation and Robotics in Construction (ISARC)","year":2016,"lang":"en","type":"paratext","venue":"Proceedings of the ... ISARC","topic":"BIM and Construction Integration","field":"Engineering","cited_by":16,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"","keywords":"Robotics; Automation; Artificial intelligence; Computer science; Robot; Engineering; Mechanical engineering","score_opus":0.006639652297666454,"score_gpt":0.20220904277787077,"score_spread":0.19556939048020433,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4237253441","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.036987517,0.113872014,0.3730736,0.0070427544,0.030564498,0.0007162769,0.0012660696,0.0067296335,0.42974755],"genre_scores_gemma":[0.18229653,0.056816276,0.19254382,0.0016766976,0.0042291614,0.0005911498,0.004377449,0.0013912128,0.5560778],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99836415,0.00043064484,0.00011486343,0.00029096263,0.0006155832,0.00018383925],"domain_scores_gemma":[0.9984505,0.00028630573,0.000057670917,0.0003258797,0.00066936994,0.00021019897],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0028504531,0.00119296,0.0010903171,0.0017795094,0.00067794067,0.0040583448,0.0014023809,0.0022469042,0.058949206],"category_scores_gemma":[0.002306264,0.00038515104,0.0011587793,0.0012248323,0.0012164644,0.0017199444,0.0021112936,0.0015999387,0.03339398],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0004052686,0.00031431759,0.002199672,0.00070653914,0.00015648379,0.00058799144,0.00045166526,0.004213387,0.01016339,0.009948076,0.17876832,0.7920849],"study_design_scores_gemma":[0.000034183027,0.00048096944,0.0060565537,0.00075165846,0.00015530732,0.0013896165,0.0006397954,0.0178233,0.0055896644,0.0063326573,0.9606675,0.00007879755],"about_ca_topic_score_codex":0.0041821804,"about_ca_topic_score_gemma":0.005399077,"teacher_disagreement_score":0.058949206,"about_ca_system_score_codex":0.0009321571,"about_ca_system_score_gemma":0.002067353,"threshold_uncertainty_score":0.19720471},"labels":[],"label_agreement":null},{"id":"W4239192631","doi":"10.22260/isarc2012/0054","title":"Image-Based Retrieval of Concrete Crack Properties","year":2012,"lang":"en","type":"article","venue":"Proceedings of the ... ISARC","topic":"Infrastructure Maintenance and Monitoring","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"","keywords":"Image stitching; Computer science; Artificial intelligence; Computer vision; Image processing; Visualization; Binary image; Orientation (vector space); Histogram; Pixel; Digital image processing; Image (mathematics); Mathematics","score_opus":0.010449701876107368,"score_gpt":0.19560875533866565,"score_spread":0.1851590534625583,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4239192631","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.10947809,0.0028680817,0.8734582,0.00017296053,0.00017544483,0.00029362208,0.0013033055,0.0042412085,0.008009009],"genre_scores_gemma":[0.31959313,0.0021787959,0.66507137,0.00013177167,0.00017336462,0.0002296271,0.0021009804,0.00030276642,0.010218178],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99967647,0.000020391148,0.000018720018,0.000071662886,0.00017698415,0.000035862846],"domain_scores_gemma":[0.9996075,0.00004941982,0.00005240108,0.00007477529,0.00019655813,0.000019382042],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00025901053,0.00053047616,0.000747761,0.0026158825,0.00020084268,0.00083392806,0.0005760882,0.0008092993,0.003665606],"category_scores_gemma":[0.00072312163,0.00024656596,0.00061716273,0.0012490578,0.00029101942,0.001211262,0.0005565372,0.00044500182,0.0027709052],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00022189567,0.00009037728,0.001126111,0.0004371942,0.000043230248,0.00017371833,0.00007683911,0.0050354805,0.5926636,0.00094884686,0.0022719265,0.3969108],"study_design_scores_gemma":[0.00006234244,0.00040996724,0.021185838,0.0000995521,0.00017855303,0.0019127368,0.00016060774,0.29774237,0.6568131,0.0014219785,0.019914046,0.000098954726],"about_ca_topic_score_codex":0.0011468962,"about_ca_topic_score_gemma":0.0012974717,"teacher_disagreement_score":0.003665606,"about_ca_system_score_codex":0.00027009338,"about_ca_system_score_gemma":0.00034844744,"threshold_uncertainty_score":0.012262642},"labels":[],"label_agreement":null},{"id":"W4246061618","doi":"10.22260/isarc2019/0014","title":"Automatic Generation of the Vertical Transportation Demands During the Construction of High-Rise Buildings Using BIM","year":2019,"lang":"en","type":"article","venue":"Proceedings of the ... ISARC","topic":"BIM and Construction Integration","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Building information modeling; Transport engineering; Schedule; Elevator; Process (computing); Construction management; Engineering; Computer science; Construction engineering; Civil engineering; Scheduling (production processes); Operations management","score_opus":0.007704802908658045,"score_gpt":0.18836402889479292,"score_spread":0.18065922598613487,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4246061618","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.07292869,0.00014173597,0.9102248,0.00009924497,0.00005716556,0.00027700872,0.0015520994,0.009458703,0.0052606114],"genre_scores_gemma":[0.44896793,0.00021713297,0.5421186,0.0000392113,0.000028815979,0.00028674977,0.005942336,0.0008959841,0.0015032467],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99913776,0.00014143977,0.00004441437,0.00013079918,0.0004609482,0.000084598774],"domain_scores_gemma":[0.99910295,0.00021416864,0.00012373092,0.0001548437,0.00029996948,0.00010434979],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008848141,0.0017469017,0.00096182624,0.0031721354,0.0006045443,0.0012858963,0.0011170284,0.00074503967,0.002681126],"category_scores_gemma":[0.0016430739,0.0009823228,0.001239591,0.002071979,0.000312009,0.0010502146,0.0016040449,0.0008210111,0.002040742],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0007087514,0.00054827164,0.019960143,0.0006208343,0.00016417574,0.0010291511,0.001651863,0.3449649,0.09665578,0.0042733825,0.010886366,0.5185364],"study_design_scores_gemma":[0.000034198907,0.000090556445,0.010370419,0.000050195074,0.000040281637,0.00013642329,0.00038378165,0.95851415,0.021644264,0.0029256956,0.00575192,0.00005807087],"about_ca_topic_score_codex":0.00336265,"about_ca_topic_score_gemma":0.0048923464,"teacher_disagreement_score":0.00336265,"about_ca_system_score_codex":0.0004717096,"about_ca_system_score_gemma":0.001068458,"threshold_uncertainty_score":0.008969307},"labels":[],"label_agreement":null},{"id":"W4254056783","doi":"10.22260/isarc2012/0020","title":"RFID Indoor Location Identification for Construction Projects","year":2012,"lang":"en","type":"article","venue":"Proceedings of the ... ISARC","topic":"BIM and Construction Integration","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"Concordia University","keywords":"Trilateration; Radio-frequency identification; Identification (biology); Computer science; Location tracking; Process (computing); Global Positioning System; Real-time locating system; Location awareness; Real-time computing; Location-based service; Telecommunications; Engineering; Computer security","score_opus":0.013727294355425667,"score_gpt":0.21460130086896942,"score_spread":0.20087400651354376,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4254056783","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.01132207,0.00071981794,0.97731405,0.000088537985,0.00010182286,0.00010737419,0.00017000905,0.0014842693,0.008692025],"genre_scores_gemma":[0.34456462,0.0013597995,0.6344294,0.00012254347,0.000067112625,0.000287964,0.0007557919,0.000134348,0.018278513],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9986486,0.00039193936,0.00006627382,0.0002696266,0.0005288143,0.00009476769],"domain_scores_gemma":[0.999401,0.00011175756,0.000121180325,0.00012694103,0.00021819014,0.000021049009],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006574224,0.00058916217,0.00036768382,0.0017407947,0.00039640168,0.0010412475,0.0007047491,0.0006039169,0.003043021],"category_scores_gemma":[0.0014266527,0.00025855654,0.0005753392,0.0016597954,0.00038280227,0.0009562597,0.0008777931,0.0004632485,0.0032773535],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00014798986,0.00011701157,0.0071226936,0.000765497,0.000048048205,0.0005924949,0.00046478803,0.03660335,0.07392767,0.021037271,0.0056757396,0.8534975],"study_design_scores_gemma":[0.000058989175,0.0010391802,0.030733991,0.0007545737,0.0002115538,0.0058137085,0.0018725217,0.38467816,0.20153996,0.019239781,0.35371137,0.00034626477],"about_ca_topic_score_codex":0.001002035,"about_ca_topic_score_gemma":0.0009048273,"teacher_disagreement_score":0.003043021,"about_ca_system_score_codex":0.00043844435,"about_ca_system_score_gemma":0.0006212116,"threshold_uncertainty_score":0.010179937},"labels":[],"label_agreement":null},{"id":"W4399043571","doi":"10.22260/isarc2024/0174","title":"Analysis of openBIM Adoptions and Implementations: Global Perspectives and Canadian Industry Adoption","year":2024,"lang":"en","type":"article","venue":"Proceedings of the ... ISARC","topic":"BIM and Construction Integration","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"National Research Council Canada","keywords":"Implementation; Computer science; Telecommunications; Data science; Business; Software engineering","score_opus":0.009728157840064202,"score_gpt":0.24550205306183906,"score_spread":0.23577389522177486,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4399043571","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.881768,0.0015431817,0.0015797275,0.004233769,0.00003660419,0.00022120799,0.0014056714,0.00009866595,0.10911322],"genre_scores_gemma":[0.9891094,0.0019716227,0.0022803457,0.00027353398,0.0000064354977,0.00007387794,0.0009108318,0.000049022157,0.0053250166],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9866583,0.0013973172,0.00048120393,0.0010666624,0.007157781,0.0032387376],"domain_scores_gemma":[0.98243195,0.0029242937,0.0018091456,0.00095277006,0.010304942,0.0015768966],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00976138,0.00056052743,0.000499526,0.009623713,0.0070756683,0.008388664,0.0020414102,0.00088939455,0.0033325679],"category_scores_gemma":[0.02249329,0.00043363724,0.0006633938,0.028423574,0.0047150045,0.003670873,0.006530529,0.0016486243,0.00026254804],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00021518451,0.00016638615,0.40084636,0.0008186085,0.000098668235,0.0008481393,0.24320427,0.0014864606,0.0020410374,0.09808643,0.009260484,0.24292795],"study_design_scores_gemma":[0.000019056186,0.00011633753,0.6610892,0.00066761614,0.00010140822,0.00028948442,0.21500812,0.0016884713,0.0011679147,0.0025305196,0.11717027,0.00015162265],"about_ca_topic_score_codex":0.95932,"about_ca_topic_score_gemma":0.9665737,"teacher_disagreement_score":0.07914398,"about_ca_system_score_codex":0.07914398,"about_ca_system_score_gemma":0.08784861,"threshold_uncertainty_score":0.57423246},"labels":[],"label_agreement":null},{"id":"W4399043596","doi":"10.22260/isarc2024/0125","title":"Exploring the Potential of Reinforcement Learning in Pipe Spool Scheduling in Industrial Projects","year":2024,"lang":"en","type":"article","venue":"Proceedings of the ... ISARC","topic":"Scheduling and Optimization Algorithms","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Reinforcement learning; Computer science; Scheduling (production processes); Reinforcement; Industrial engineering; Artificial intelligence; Engineering; Operations management; Structural engineering","score_opus":0.04661913984480425,"score_gpt":0.22987987647401195,"score_spread":0.1832607366292077,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4399043596","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.24482892,0.0003946402,0.74837047,0.0006818498,0.00004094939,0.00007459747,0.000028741157,0.0002654375,0.0053144568],"genre_scores_gemma":[0.97543204,0.00010075938,0.023391988,0.000039178445,0.000013504773,0.000040747917,0.00001217919,0.00001155897,0.00095819193],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9994822,0.0003040184,0.000015239372,0.000071289156,0.00005375648,0.00007347549],"domain_scores_gemma":[0.99651647,0.0028798878,0.00025089714,0.000071741466,0.00015012761,0.00013085287],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016685121,0.00064055255,0.0008359194,0.00028674692,0.00035335068,0.0007184021,0.0009743106,0.0012532179,0.0012228942],"category_scores_gemma":[0.0049634436,0.00036014806,0.00034876633,0.0002875567,0.00097511074,0.00090103113,0.000794897,0.00091052137,0.00013019932],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000040073035,0.000035531328,0.00034658765,0.000015989981,0.000007919497,0.000024654259,0.000021272319,0.9933755,0.00021573348,0.0021894132,0.000052302086,0.0036750159],"study_design_scores_gemma":[0.0000058922865,0.000020725329,0.000030145167,0.0000012877506,0.0000015532675,0.0000019579174,0.0000031145576,0.9990534,0.000044249384,0.00080104306,0.00003527888,0.0000013421554],"about_ca_topic_score_codex":0.0078015984,"about_ca_topic_score_gemma":0.004525814,"teacher_disagreement_score":0.0078015984,"about_ca_system_score_codex":0.00089165714,"about_ca_system_score_gemma":0.0011820411,"threshold_uncertainty_score":0.015512347},"labels":[],"label_agreement":null},{"id":"W4399043649","doi":"10.22260/isarc2024/0095","title":"Point Cloud-based Computer Vision Framework for Detecting Proximity of Trees to Power Distribution Lines","year":2024,"lang":"en","type":"article","venue":"Proceedings of the ... ISARC","topic":"Remote Sensing and LiDAR Applications","field":"Environmental Science","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"","keywords":"Cloud computing; Point cloud; Computer science; Distribution (mathematics); Point (geometry); Computer graphics (images); Power (physics); Data science; Computer vision; Operating system; Mathematics","score_opus":0.01022322662004866,"score_gpt":0.2596711579239281,"score_spread":0.24944793130387943,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4399043649","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.008551723,0.00024104698,0.98877966,0.000082028535,0.000027986684,0.00008144547,0.00017729437,0.0010285039,0.001030379],"genre_scores_gemma":[0.39694548,0.0007841189,0.59772074,0.00014158474,0.00008688013,0.0002689267,0.0011965471,0.0001295623,0.0027261127],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9995795,0.000039731713,0.000016897655,0.00013584128,0.00016342576,0.000064681066],"domain_scores_gemma":[0.9997631,0.000039717866,0.00002908882,0.000028052695,0.000116792304,0.000023336306],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003669901,0.00081708096,0.0008442855,0.0021330249,0.000504019,0.0014379334,0.0018643208,0.001041752,0.0015311044],"category_scores_gemma":[0.0008933673,0.00041451483,0.0010504884,0.0017542586,0.00040873687,0.0011148889,0.0009559819,0.0010947306,0.00087297],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00017683304,0.00031784945,0.0025079339,0.00021543741,0.00013875018,0.00047521127,0.00014865295,0.5429569,0.031310197,0.016392535,0.006678922,0.39868084],"study_design_scores_gemma":[0.000003446311,0.00001646594,0.00036740428,0.000006223382,0.0000064462483,0.00005085583,0.000016771275,0.9951395,0.0016482571,0.0018021088,0.0009363646,0.0000061387123],"about_ca_topic_score_codex":0.025372343,"about_ca_topic_score_gemma":0.023746328,"teacher_disagreement_score":0.025372343,"about_ca_system_score_codex":0.0010070138,"about_ca_system_score_gemma":0.0012683233,"threshold_uncertainty_score":0.05044937},"labels":[],"label_agreement":null},{"id":"W4399043719","doi":"10.22260/isarc2024/0082","title":"Interpretation Conflict in Helmet Recognition under Adversarial Attack","year":2024,"lang":"en","type":"article","venue":"Proceedings of the ... ISARC","topic":"Gait Recognition and Analysis","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Adversarial system; Interpretation (philosophy); Computer science; Computer security; Artificial intelligence; Natural language processing; Programming language","score_opus":0.02381973294397383,"score_gpt":0.2464257867486185,"score_spread":0.22260605380464468,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4399043719","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7298282,0.0007598023,0.25046688,0.0011333618,0.00020634993,0.00020029726,0.00013839113,0.0004597708,0.016806932],"genre_scores_gemma":[0.9816607,0.000076218406,0.016380422,0.00015360594,0.000032145486,0.000040430987,0.00010700774,0.00004277455,0.001506636],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9917965,0.003350844,0.00037440407,0.0012515713,0.0024176203,0.0008089878],"domain_scores_gemma":[0.9689484,0.02333528,0.0029801663,0.0024309496,0.001513589,0.0007915263],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005057253,0.0008081998,0.0010115298,0.00070112664,0.0014925181,0.0020582862,0.0012019795,0.0017094568,0.0031395853],"category_scores_gemma":[0.035395242,0.0005400311,0.0006607371,0.0005843209,0.0031994055,0.003157371,0.0033323902,0.0021687122,0.00050939753],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.004817546,0.0005469218,0.04529479,0.00038041093,0.00039854198,0.0058836793,0.0055289553,0.6623735,0.044488046,0.044863254,0.006935149,0.17848925],"study_design_scores_gemma":[0.00006656608,0.00037981002,0.008673772,0.000050930284,0.00006388771,0.0011350003,0.0012169542,0.9363335,0.015095176,0.034375552,0.0024999303,0.000108859844],"about_ca_topic_score_codex":0.0028614467,"about_ca_topic_score_gemma":0.0016696531,"teacher_disagreement_score":0.005057253,"about_ca_system_score_codex":0.0013107904,"about_ca_system_score_gemma":0.0010583467,"threshold_uncertainty_score":0.026745677},"labels":[],"label_agreement":null},{"id":"W4399043768","doi":"10.22260/isarc2024/0037","title":"Performance Evaluation of Genetic Algorithm and Particle Swarm Optimization in Off-Site Construction Scheduling","year":2024,"lang":"en","type":"article","venue":"Proceedings of the ... ISARC","topic":"BIM and Construction Integration","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Particle swarm optimization; Computer science; Genetic algorithm; Scheduling (production processes); Algorithm; Multi-swarm optimization; Metaheuristic; Mathematical optimization; Mathematics; Machine learning","score_opus":0.010348799172307572,"score_gpt":0.21619183396070887,"score_spread":0.2058430347884013,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4399043768","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9157929,0.0007813802,0.069027044,0.00039681385,0.00014813157,0.0001504844,0.00011865962,0.0005692648,0.013015332],"genre_scores_gemma":[0.977539,0.00014925814,0.021231834,0.000032629607,0.000009329007,0.000041013398,0.000117474825,0.00003115618,0.0008484055],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9989153,0.0005520109,0.00005217303,0.00011863168,0.00022152583,0.00014043045],"domain_scores_gemma":[0.99722666,0.0019047254,0.00015780077,0.000121494755,0.0004757347,0.0001136009],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002296219,0.0008865302,0.001018107,0.0010839269,0.00045008876,0.0011302996,0.00068792654,0.0011435008,0.0008677048],"category_scores_gemma":[0.0048339656,0.00025525625,0.0004963883,0.00085152296,0.00044879556,0.0006698958,0.0004066758,0.00054732664,0.00014870697],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00030023197,0.0002208159,0.002799949,0.00005280491,0.00005410232,0.00003714046,0.000033900727,0.9669328,0.0009185618,0.0006407814,0.0003681943,0.027640784],"study_design_scores_gemma":[0.000019219386,0.00014826153,0.0009639566,0.0000032390276,0.000011147594,0.000005734099,0.000021320331,0.9980531,0.00056515326,0.00009338083,0.00011128649,0.0000042105717],"about_ca_topic_score_codex":0.032374665,"about_ca_topic_score_gemma":0.013223849,"teacher_disagreement_score":0.032374665,"about_ca_system_score_codex":0.0014465703,"about_ca_system_score_gemma":0.0017459474,"threshold_uncertainty_score":0.06437248},"labels":[],"label_agreement":null},{"id":"W44074408","doi":"10.22260/isarc2013/0065","title":"Fuzzy Clustering-Based Model for Productivity Forcasting","year":2013,"lang":"en","type":"article","venue":"Proceedings of the ... ISARC","topic":"BIM and Construction Integration","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Cluster analysis; Computer science; Data mining; Fuzzy logic; Weighting; Artificial intelligence; Productivity; Genetic algorithm; Fuzzy clustering; Operations research; Industrial engineering; Machine learning; Engineering","score_opus":0.01613875031713675,"score_gpt":0.20342555860758593,"score_spread":0.1872868082904492,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W44074408","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.058608174,0.0011592194,0.92004555,0.00085703743,0.00022734972,0.00018332936,0.0007830617,0.00054762297,0.017588597],"genre_scores_gemma":[0.9423149,0.0008489394,0.039334983,0.00007800926,0.000067288216,0.00026460705,0.00065733626,0.00008531831,0.016348513],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9993556,0.00012221935,0.000038095473,0.00021216889,0.00016145407,0.00011041567],"domain_scores_gemma":[0.99937075,0.0002053824,0.00008750264,0.000029611061,0.00027064988,0.000036182795],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011143119,0.0009248128,0.0010063761,0.0014203206,0.0008783249,0.0018703884,0.0026648385,0.0020444908,0.004266162],"category_scores_gemma":[0.0020857786,0.00044970322,0.0015888233,0.0016786205,0.0006290666,0.0013853256,0.0009868405,0.0012321396,0.0006456588],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000015670019,0.000011962577,0.0004265596,0.000023144128,0.000020287915,0.000041459993,0.00003828649,0.9894565,0.0002555644,0.0043684742,0.0004506895,0.0048914887],"study_design_scores_gemma":[0.0000019476106,0.000005100495,0.00014681836,0.000003665196,0.0000057078396,0.0000065270674,0.000009570554,0.998353,0.000051958654,0.0011386845,0.0002715531,0.0000055043465],"about_ca_topic_score_codex":0.053610444,"about_ca_topic_score_gemma":0.023878202,"teacher_disagreement_score":0.053610444,"about_ca_system_score_codex":0.0030699712,"about_ca_system_score_gemma":0.0015906844,"threshold_uncertainty_score":0.10659677},"labels":[],"label_agreement":null},{"id":"W4412690920","doi":"10.22260/isarc2025/0086","title":"Implementation of the Cybersecurity Incident Severity Scale (CISS) to Assess Cyber Incidents in the Construction Sector","year":2025,"lang":"en","type":"article","venue":"Proceedings of the ... ISARC","topic":"Occupational Health and Safety Research","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Tamkeen; York University; New York University Abu Dhabi","keywords":"Computer security; Scale (ratio); Cyber-attack; Computer science; Cyber-physical system; Geography","score_opus":0.06096251309265815,"score_gpt":0.4591153736144548,"score_spread":0.39815286052179666,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4412690920","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6012565,0.0002854383,0.27765602,0.006650217,0.00078908075,0.018681977,0.008066878,0.002768434,0.08384547],"genre_scores_gemma":[0.78310484,0.00025369012,0.20142369,0.0003638826,0.000048998707,0.006381389,0.0044416217,0.000097919175,0.0038839914],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.98032403,0.0072783846,0.0034180414,0.0009928605,0.00741881,0.0005678592],"domain_scores_gemma":[0.9452742,0.01107131,0.007660613,0.005280583,0.029152347,0.0015610406],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.023393746,0.0006735351,0.00050315063,0.0046816887,0.0009906807,0.0024068751,0.0013199087,0.00063153135,0.0023504314],"category_scores_gemma":[0.041508343,0.00040008652,0.0014397633,0.0027205416,0.0010520808,0.0023936988,0.0025297406,0.0019466719,0.00079151004],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00032147835,0.0019690262,0.515712,0.00086779083,0.0002222056,0.00015731483,0.0057482137,0.015958728,0.0042128772,0.012707424,0.018224878,0.42389795],"study_design_scores_gemma":[0.00036617793,0.0072593004,0.7760743,0.0014390086,0.00024517134,0.0004769343,0.025389114,0.09927075,0.013458742,0.013120717,0.062489416,0.0004102958],"about_ca_topic_score_codex":0.013114228,"about_ca_topic_score_gemma":0.01570628,"teacher_disagreement_score":0.023393746,"about_ca_system_score_codex":0.004554293,"about_ca_system_score_gemma":0.011185523,"threshold_uncertainty_score":0.123719454},"labels":[],"label_agreement":null},{"id":"W4412690923","doi":"10.22260/isarc2025/0070","title":"Exploring Cognitive Load and Task Complexity in Dynamic Tracking Tasks: Insights for Construction Workflows","year":2025,"lang":"en","type":"article","venue":"Proceedings of the ... ISARC","topic":"BIM and Construction Integration","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Workflow; Computer science; Task (project management); Cognitive load; Tracking (education); Cognition; Human–computer interaction; Task analysis; Systems engineering; Engineering; Psychology; Database","score_opus":0.04546509954832691,"score_gpt":0.24639485948442683,"score_spread":0.2009297599360999,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4412690923","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97929627,0.00045718325,0.016198052,0.00045369833,0.000010589679,0.00005490881,0.00016194563,0.000079460704,0.0032878087],"genre_scores_gemma":[0.99094826,0.00035733223,0.007905331,0.00003673862,0.000012308596,0.000032701628,0.00015184534,0.00002745831,0.0005280363],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99913305,0.00023863582,0.000056063804,0.00012734674,0.00031182537,0.000133113],"domain_scores_gemma":[0.99391645,0.0035636018,0.001033292,0.00029608127,0.0007590371,0.00043152535],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016452107,0.0008725845,0.0005213641,0.0026719156,0.0007116989,0.0032946405,0.00052520575,0.0005560727,0.0011772952],"category_scores_gemma":[0.008766445,0.00031783193,0.0005886491,0.0017655888,0.00075810496,0.0026768148,0.0014721474,0.0005752553,0.00023456171],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000710354,0.0012549092,0.5921721,0.001240424,0.00024261318,0.0015149708,0.04564357,0.01855299,0.025251376,0.0068899165,0.0015955673,0.3049312],"study_design_scores_gemma":[0.00001860684,0.00038620012,0.8976226,0.0002774891,0.00010058418,0.00040760607,0.023470378,0.05735119,0.0028106696,0.014106589,0.0033121237,0.00013594744],"about_ca_topic_score_codex":0.012177946,"about_ca_topic_score_gemma":0.015555473,"teacher_disagreement_score":0.012177946,"about_ca_system_score_codex":0.0013250514,"about_ca_system_score_gemma":0.0017408967,"threshold_uncertainty_score":0.024214149},"labels":[],"label_agreement":null},{"id":"W4412690934","doi":"10.22260/isarc2025/0124","title":"Construction Industry Vision Alberta Dataset (CIVAD): Developing a Comprehensive Object Detection Dataset for Diverse Construction Applications","year":2025,"lang":"en","type":"article","venue":"Proceedings of the ... ISARC","topic":"Infrastructure Maintenance and Monitoring","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Computer science; Object detection; Construction industry; Artificial intelligence; Data science; Computer vision; Construction engineering; Engineering; Pattern recognition (psychology)","score_opus":0.010164095901339073,"score_gpt":0.2570499593140657,"score_spread":0.24688586341272664,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4412690934","genre_codex":"dataset","genre_gemma":"dataset","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"dataset","genre_consensus":"dataset","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.056222197,0.0030503238,0.025635509,0.0010244962,0.0007608059,0.0010452934,0.86381763,0.018451251,0.02999245],"genre_scores_gemma":[0.019581268,0.00034249853,0.022825383,0.00016727121,0.000040726598,0.0002196211,0.95354825,0.00029507038,0.0029799344],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9981077,0.0001416858,0.00008238114,0.00046247983,0.00091482635,0.00029096112],"domain_scores_gemma":[0.99850637,0.00014032611,0.00009272496,0.0003304412,0.00074798457,0.00018210779],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011274762,0.0025110608,0.0010588499,0.0055936715,0.001646628,0.0019328826,0.0042503043,0.0019349001,0.004582587],"category_scores_gemma":[0.001978286,0.0006527232,0.0015532366,0.0068229567,0.00084282906,0.0012737706,0.0022261655,0.0024461464,0.0068335054],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00027925376,0.0006020129,0.014490819,0.0011581118,0.00020530917,0.00034852134,0.00027781035,0.0081721125,0.008218911,0.0035194776,0.83730537,0.12542243],"study_design_scores_gemma":[0.00020486252,0.00016914193,0.08601541,0.0004140093,0.00013766257,0.00068227126,0.0009863521,0.05666132,0.013022076,0.004191195,0.8372704,0.00024533542],"about_ca_topic_score_codex":0.34000653,"about_ca_topic_score_gemma":0.6096144,"teacher_disagreement_score":0.65999347,"about_ca_system_score_codex":0.0045514447,"about_ca_system_score_gemma":0.0053180917,"threshold_uncertainty_score":0},"labels":[],"label_agreement":null},{"id":"W4412690948","doi":"10.22260/isarc2025/0169","title":"Deployment for Additive Construction through Digital Platforms: Gananoque Project as a Case Study","year":2025,"lang":"en","type":"article","venue":"Proceedings of the ... ISARC","topic":"Innovations in Concrete and Construction Materials","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Software deployment; Computer science; Software engineering","score_opus":0.014565987678247272,"score_gpt":0.26897272059669736,"score_spread":0.25440673291845006,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4412690948","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.81169295,0.000442712,0.02429589,0.0009815771,0.00008211981,0.0008008886,0.00052380416,0.0003997571,0.16078028],"genre_scores_gemma":[0.9048324,0.0004940313,0.05400588,0.00012221195,0.000014734962,0.00025102874,0.00036338274,0.00011969534,0.039796583],"study_design_codex":"design_other","study_design_gemma":"case_report","domain_scores_codex":[0.9981933,0.00055899203,0.000041877203,0.00019307251,0.00066842005,0.00034438583],"domain_scores_gemma":[0.9994209,0.00011079493,0.000044362983,0.0001335792,0.00013365796,0.00015674526],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013053165,0.00041195194,0.0001982891,0.0009207188,0.0020558527,0.001611454,0.0011723221,0.0012930145,0.0037755675],"category_scores_gemma":[0.0010476495,0.0002192787,0.00035224648,0.0010400028,0.0015602264,0.00085489324,0.0017117368,0.000760746,0.0010768633],"study_design_candidate":"case_report","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.001154418,0.003153177,0.064705424,0.0016417919,0.000074541116,0.05354388,0.058178056,0.07253455,0.06337045,0.12337957,0.028517064,0.52974707],"study_design_scores_gemma":[0.00018422301,0.0021406238,0.056274574,0.000608819,0.000062747735,0.016007954,0.07580257,0.031173078,0.032669894,0.0075035007,0.7773523,0.00021984045],"about_ca_topic_score_codex":0.035711393,"about_ca_topic_score_gemma":0.09180091,"teacher_disagreement_score":0.9642886,"about_ca_system_score_codex":0.002570308,"about_ca_system_score_gemma":0.003724949,"threshold_uncertainty_score":0.07100707},"labels":[],"label_agreement":null},{"id":"W4412690963","doi":"10.22260/isarc2025/0078","title":"SVR and GA Aided Lean Six Sigma Method for Planning in Modular Construction","year":2025,"lang":"en","type":"article","venue":"Proceedings of the ... ISARC","topic":"Quality and Supply Management","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Modular design; Six Sigma; Computer science; Sigma; Lean Six Sigma; Manufacturing engineering; Engineering drawing; Engineering; Lean manufacturing; Programming language; Physics","score_opus":0.020429877935384245,"score_gpt":0.276080517703784,"score_spread":0.25565063976839975,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4412690963","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.039234336,0.00042594603,0.95601857,0.00014787726,0.000038938495,0.00010830979,0.000102882324,0.0007021651,0.0032208578],"genre_scores_gemma":[0.5949104,0.0003236963,0.40132272,0.00009851798,0.000015841511,0.0002778317,0.0003645984,0.000089362584,0.002597022],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9994816,0.00019764986,0.000031089425,0.00007566472,0.00014248547,0.00007148893],"domain_scores_gemma":[0.9991572,0.00045570245,0.00008891179,0.000028565864,0.00024187476,0.000027829594],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012124995,0.0009058141,0.00096023997,0.0013852662,0.0003506294,0.00083955354,0.0007716409,0.00072745123,0.0018258231],"category_scores_gemma":[0.0014227356,0.0006257155,0.0010627375,0.0011201836,0.00035124767,0.00038009646,0.00050729164,0.00073572464,0.00025218746],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000045501754,0.000038069877,0.00080533006,0.000062416824,0.00003738388,0.00005321561,0.000043960255,0.9560459,0.0010886958,0.0016244448,0.00033041727,0.039824646],"study_design_scores_gemma":[0.0000071296267,0.00004563455,0.000140107,0.000011488329,0.000008636982,0.000008112,0.000015279144,0.9982297,0.00042412535,0.00075037335,0.00035527922,0.000004174505],"about_ca_topic_score_codex":0.013564134,"about_ca_topic_score_gemma":0.011236447,"teacher_disagreement_score":0.013564134,"about_ca_system_score_codex":0.00088730175,"about_ca_system_score_gemma":0.0019631016,"threshold_uncertainty_score":0.026970387},"labels":[],"label_agreement":null},{"id":"W4412691054","doi":"10.22260/isarc2025/0202","title":"Improved Information Extraction from Bridge Inspection Reports using Fine-tuned Generative Pre-trained Transformers","year":2025,"lang":"en","type":"article","venue":"Proceedings of the ... ISARC","topic":"Infrastructure Maintenance and Monitoring","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Transformer; Computer science; Generative grammar; Artificial intelligence; Pattern recognition (psychology); Engineering; Electrical engineering; Voltage","score_opus":0.005879335665885568,"score_gpt":0.22690320509906106,"score_spread":0.22102386943317548,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4412691054","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.047738567,0.00037536144,0.9353696,0.0003784585,0.00007329031,0.00016899694,0.00160429,0.012382867,0.0019085048],"genre_scores_gemma":[0.59846807,0.00045738523,0.38616496,0.00033661787,0.00007366499,0.00029465996,0.009490474,0.0007798592,0.0039342474],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9990701,0.00022496744,0.00007789792,0.0003343133,0.0002099771,0.00008271939],"domain_scores_gemma":[0.9958049,0.00284177,0.0002462061,0.00047602243,0.0005599423,0.00007115555],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014697389,0.0015675416,0.0007627023,0.0021583901,0.00026324636,0.0010487075,0.0014202421,0.0007254847,0.002401323],"category_scores_gemma":[0.009929909,0.0005776919,0.0014990931,0.0013966317,0.00049824704,0.0027156877,0.0015205462,0.0015608461,0.002136087],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00050928,0.0003354592,0.013157321,0.0004253128,0.00015362221,0.0007017147,0.00050087675,0.16214317,0.030329091,0.0041538207,0.009246008,0.7783444],"study_design_scores_gemma":[0.000031669777,0.00011798821,0.0023164044,0.000030114592,0.000064797685,0.0002087144,0.00012246912,0.969626,0.018269137,0.0058118245,0.0033666024,0.00003424865],"about_ca_topic_score_codex":0.008274998,"about_ca_topic_score_gemma":0.011709377,"teacher_disagreement_score":0.008274998,"about_ca_system_score_codex":0.00075980596,"about_ca_system_score_gemma":0.0014785342,"threshold_uncertainty_score":0.016453683},"labels":[],"label_agreement":null},{"id":"W4412691073","doi":"10.22260/isarc2025/0128","title":"Transformer-based Multi-resolution Fast 3D Reconstruction for Structural Damage Detection","year":2025,"lang":"en","type":"article","venue":"Proceedings of the ... ISARC","topic":"Industrial Vision Systems and Defect Detection","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Transformer; Artificial intelligence; Engineering; Voltage; Electrical engineering","score_opus":0.01349201726820299,"score_gpt":0.23372793920843835,"score_spread":0.22023592194023536,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4412691073","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00493883,0.000058317088,0.99383485,0.000031722902,0.0000068392105,0.00001552179,0.000040029063,0.0006597629,0.0004141043],"genre_scores_gemma":[0.2282308,0.00033411605,0.7694401,0.00008741176,0.00001611862,0.000058484013,0.00037748145,0.00027022584,0.0011852786],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99966216,0.000045104898,0.000012319403,0.000042696967,0.00020555164,0.000032235876],"domain_scores_gemma":[0.999632,0.00010548987,0.00005009084,0.000090297064,0.000099540426,0.000022681797],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00047812267,0.0005671814,0.0004980787,0.0011559415,0.00015382121,0.00075626414,0.0009716626,0.00061194773,0.0020861141],"category_scores_gemma":[0.0011799469,0.00055546884,0.0007708575,0.00067150465,0.00034336039,0.0011743769,0.0010847682,0.0007793393,0.0008704329],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00020152867,0.0001092188,0.0021975336,0.00025463247,0.00009757175,0.00027472747,0.00023097612,0.39857367,0.14207415,0.015740879,0.0036702496,0.43657482],"study_design_scores_gemma":[0.0000052738374,0.000029322227,0.00029179725,0.000005856425,0.000008115308,0.00016607769,0.000018266326,0.98391795,0.012257042,0.0016911466,0.0015961365,0.000013020498],"about_ca_topic_score_codex":0.0019909912,"about_ca_topic_score_gemma":0.0028883957,"teacher_disagreement_score":0.0020861141,"about_ca_system_score_codex":0.0004159535,"about_ca_system_score_gemma":0.0005995964,"threshold_uncertainty_score":0.0069786906},"labels":[],"label_agreement":null},{"id":"W4412691076","doi":"10.22260/isarc2025/0152","title":"Developing Computer Vison-based Digital Twin for Vegetation Management Near Power Distribution Networks","year":2025,"lang":"en","type":"article","venue":"Proceedings of the ... ISARC","topic":"Digital Transformation in Industry","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Canada First Research Excellence Fund","keywords":"Vegetation (pathology); Computer science; Distribution (mathematics); Power (physics); Telecommunications; Electrical engineering; Engineering; Mathematics","score_opus":0.008409734380321294,"score_gpt":0.2129284847715925,"score_spread":0.2045187503912712,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4412691076","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.015867805,0.000036830752,0.97754866,0.00006935586,0.000022714758,0.00007352791,0.00018624724,0.0027337281,0.0034611358],"genre_scores_gemma":[0.24728061,0.00014131828,0.7478494,0.00005048892,0.000015552328,0.0001045691,0.00091243285,0.00035756407,0.0032880714],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9995932,0.000061252904,0.000028875605,0.00010607754,0.00017629913,0.00003431327],"domain_scores_gemma":[0.99944454,0.000104792125,0.000060405608,0.00013996202,0.00019752777,0.000052761123],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005969887,0.0005240441,0.00046919295,0.0014631136,0.00044124262,0.001788896,0.0011200454,0.00047897795,0.0030889488],"category_scores_gemma":[0.0022643392,0.0003469414,0.0005824657,0.0011249965,0.00058940257,0.0027031181,0.0023738502,0.00061718473,0.00090738887],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00022122975,0.00015103286,0.0067989426,0.0002104908,0.00006815483,0.00031162385,0.00072525226,0.35088995,0.028804751,0.048497394,0.0060720057,0.5572491],"study_design_scores_gemma":[0.000005480661,0.000036868812,0.0007010785,0.000016004586,0.000010761562,0.000083811334,0.00014564261,0.9731434,0.008740441,0.008516532,0.00858172,0.000018160494],"about_ca_topic_score_codex":0.005205613,"about_ca_topic_score_gemma":0.010384849,"teacher_disagreement_score":0.005205613,"about_ca_system_score_codex":0.0006944256,"about_ca_system_score_gemma":0.00071957137,"threshold_uncertainty_score":0.010350585},"labels":[],"label_agreement":null},{"id":"W4412691087","doi":"10.22260/isarc2025/0075","title":"Fuzzy-Chaos Framework for Analyzing and Quantifying Uncertainty in Labour Productivity in Complex Construction Environments","year":2025,"lang":"en","type":"article","venue":"Proceedings of the ... ISARC","topic":"Construction Project Management and Performance","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Productivity; CHAOS (operating system); Fuzzy logic; Computer science; Chaos theory; Fuzzy set; Artificial intelligence; Management science; Economics; Chaotic; Macroeconomics; Computer security","score_opus":0.09724016585993371,"score_gpt":0.37007734854087093,"score_spread":0.2728371826809372,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4412691087","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.025776071,0.00021167894,0.97113264,0.00013670734,0.000017911181,0.000047843296,0.00008060097,0.000057290203,0.0025393358],"genre_scores_gemma":[0.8696078,0.00037283674,0.12872754,0.000036088004,0.000055158245,0.0001607506,0.00009196737,0.000020218433,0.000927666],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99904853,0.00042638357,0.00006258053,0.000104865445,0.00028263652,0.00007503893],"domain_scores_gemma":[0.99788046,0.0014920958,0.00026134853,0.00008376766,0.00021302754,0.00006931799],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002139849,0.0008091527,0.0005743218,0.002514875,0.00065672636,0.0016131579,0.0006161985,0.0005622132,0.00089695386],"category_scores_gemma":[0.0048205126,0.0002685292,0.0009742513,0.0012180976,0.0015705858,0.0015615196,0.0011664979,0.00068689446,0.00008779386],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00005180215,0.000025716197,0.0034751382,0.00010099109,0.0000929461,0.00015348823,0.00033359323,0.8517852,0.00204998,0.118799165,0.00028419762,0.02284774],"study_design_scores_gemma":[0.0000044850112,0.000035194917,0.000993419,0.000020450654,0.000013968775,0.000039068127,0.00010265025,0.92844754,0.00052266003,0.069147676,0.00064652937,0.000026306685],"about_ca_topic_score_codex":0.00450131,"about_ca_topic_score_gemma":0.0026500972,"teacher_disagreement_score":0.00450131,"about_ca_system_score_codex":0.0015772494,"about_ca_system_score_gemma":0.0009981722,"threshold_uncertainty_score":0.011443734},"labels":[],"label_agreement":null},{"id":"W4412691096","doi":"10.22260/isarc2025/0139","title":"Developing a Digital Twin-based Framework for Construction Fire Hazard Recognition Training","year":2025,"lang":"en","type":"article","venue":"Proceedings of the ... ISARC","topic":"Occupational Health and Safety Research","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Training (meteorology); Computer science; Fire hazard; Artificial intelligence; Environmental science; Geography","score_opus":0.14409652970398482,"score_gpt":0.4462156874117235,"score_spread":0.3021191577077387,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4412691096","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0050056376,0.00008844875,0.9876249,0.000165095,0.000037257123,0.00019597441,0.0001633128,0.0014428718,0.0052766353],"genre_scores_gemma":[0.101186655,0.00025683176,0.8926991,0.00007942237,0.000017387449,0.0003915498,0.0006764951,0.00017151715,0.004520987],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9993293,0.00016696859,0.00006410068,0.00015307833,0.00021007004,0.000076554905],"domain_scores_gemma":[0.9994223,0.0001346801,0.000044027383,0.00011073857,0.00016165714,0.00012654596],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010898915,0.0006489172,0.00036140706,0.0011882009,0.00055621425,0.0019508917,0.0017236859,0.00084104884,0.0057373964],"category_scores_gemma":[0.0019311502,0.00036419925,0.0010429298,0.0007719274,0.0008654279,0.002291181,0.0027022618,0.001110708,0.0014219736],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00029558485,0.000592699,0.006819556,0.00086896896,0.00012443471,0.0005505525,0.003183896,0.19079162,0.021812867,0.22323719,0.012895215,0.53882736],"study_design_scores_gemma":[0.000041554602,0.0002428367,0.0025720536,0.00028762122,0.00009230694,0.0005405926,0.000924627,0.82099503,0.010621566,0.049245957,0.11433049,0.000105342646],"about_ca_topic_score_codex":0.011503334,"about_ca_topic_score_gemma":0.013004066,"teacher_disagreement_score":0.011503334,"about_ca_system_score_codex":0.0010106268,"about_ca_system_score_gemma":0.0020233036,"threshold_uncertainty_score":0.022872746},"labels":[],"label_agreement":null},{"id":"W4412691112","doi":"10.22260/isarc2025/0088","title":"RAG-Enhanced Safety Information Retrieval for Construction: Integration of Large Language Models with Domain-Specific Information","year":2025,"lang":"en","type":"article","venue":"Proceedings of the ... ISARC","topic":"Occupational Health and Safety Research","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"University of Alberta","keywords":"Computer science; Domain (mathematical analysis); Information retrieval; Information integration; Natural language processing; Information model; Artificial intelligence; Data mining; Software engineering; Mathematics","score_opus":0.023710435773221714,"score_gpt":0.368119619173015,"score_spread":0.34440918339979326,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4412691112","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.061354667,0.00056477875,0.86366916,0.0005357378,0.00009075928,0.0004999989,0.0016599667,0.06830218,0.0033227098],"genre_scores_gemma":[0.39631057,0.0003182821,0.591746,0.00043522907,0.00007492892,0.0003501868,0.005015283,0.001062907,0.004686652],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.998678,0.00055954594,0.00011328239,0.00031245805,0.00025634633,0.000080238824],"domain_scores_gemma":[0.99688596,0.0016200532,0.00025680062,0.00061372935,0.0005313908,0.00009201976],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0023173222,0.0010070398,0.00082336576,0.0015398631,0.0003677257,0.0015648626,0.0013155662,0.0010869437,0.005934286],"category_scores_gemma":[0.006698046,0.0004104381,0.001031593,0.000814123,0.00052616803,0.0029126906,0.0017159692,0.00095309765,0.005696876],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0010943599,0.00066595123,0.004490812,0.0009301122,0.00020136412,0.00063244277,0.0015841763,0.0424207,0.11738439,0.0062596444,0.02108369,0.8032524],"study_design_scores_gemma":[0.0001222893,0.00057854666,0.0029847461,0.00007480101,0.00015059135,0.00064273976,0.0005467264,0.88882315,0.069008745,0.008098361,0.028818354,0.00015087354],"about_ca_topic_score_codex":0.003293795,"about_ca_topic_score_gemma":0.0030988187,"teacher_disagreement_score":0.005934286,"about_ca_system_score_codex":0.000627662,"about_ca_system_score_gemma":0.00090350484,"threshold_uncertainty_score":0.019852221},"labels":[],"label_agreement":null},{"id":"W4412691132","doi":"10.22260/isarc2025/0208","title":"Mixed Reality-based Digital Twinning of Building Circularity: A Co-Design Approach for Sustainable Buildings","year":2025,"lang":"en","type":"article","venue":"Proceedings of the ... ISARC","topic":"BIM and Construction Integration","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Crystal twinning; Computer science; Architectural engineering; Mixed reality; Augmented reality; Human–computer interaction; Materials science; Engineering; Metallurgy","score_opus":0.019399907699794255,"score_gpt":0.23596424485144865,"score_spread":0.2165643371516544,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4412691132","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.013966234,0.00032497203,0.96284354,0.0006185454,0.000049882437,0.00013496855,0.000028890561,0.0002285158,0.021804342],"genre_scores_gemma":[0.33425295,0.0004843424,0.659073,0.00012692106,0.00001929165,0.00035332175,0.000090912945,0.00012691622,0.0054723336],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9962972,0.0023131818,0.00010444609,0.0003588525,0.0007697454,0.00015665029],"domain_scores_gemma":[0.99785537,0.0010397413,0.00013994444,0.00047573415,0.00031778406,0.00017151226],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0041614533,0.0010236772,0.000596343,0.0022247075,0.0011465467,0.0057810163,0.0020136598,0.001213607,0.004679843],"category_scores_gemma":[0.004594206,0.0008082129,0.0011979304,0.0012473743,0.004193812,0.004655066,0.007125712,0.0014353183,0.00052757823],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00018502159,0.0003495621,0.0036017492,0.0008183092,0.00019324101,0.00049509766,0.012403187,0.11990009,0.014305108,0.5759687,0.0023290785,0.26945087],"study_design_scores_gemma":[0.00008159316,0.0007065891,0.0030682029,0.00074124685,0.0002453695,0.0010471899,0.015771953,0.4800391,0.020694152,0.3057092,0.17165402,0.00024134091],"about_ca_topic_score_codex":0.0020636192,"about_ca_topic_score_gemma":0.0039493702,"teacher_disagreement_score":0.0057810163,"about_ca_system_score_codex":0.001599893,"about_ca_system_score_gemma":0.0017707943,"threshold_uncertainty_score":0.022008121},"labels":[],"label_agreement":null},{"id":"W4412691144","doi":"10.22260/isarc2025/0069","title":"Multi-dimensional Mapping of Confined Areas using a Hexapod Robot with Integrated Sensor Data and SLAM","year":2025,"lang":"en","type":"article","venue":"Proceedings of the ... ISARC","topic":"Modular Robots and Swarm Intelligence","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Hexapod; Simultaneous localization and mapping; Robot; Computer science; Computer vision; Artificial intelligence; Mobile robot","score_opus":0.03804210283337254,"score_gpt":0.248095831823592,"score_spread":0.21005372899021946,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4412691144","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.09716041,0.00008595121,0.89822626,0.00008676994,0.00007864313,0.00011025477,0.00010138051,0.0017926435,0.0023576487],"genre_scores_gemma":[0.504206,0.00005645492,0.49399468,0.00003953664,0.000009044026,0.00011022988,0.000129287,0.000042366817,0.0014124261],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99972063,0.00004967009,0.0000156457,0.0000753299,0.00010907133,0.000029669887],"domain_scores_gemma":[0.99969435,0.000053851694,0.000038215385,0.00010059679,0.00007282765,0.000040131352],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00038128355,0.00060372637,0.00056904135,0.00041125566,0.00029508228,0.0005873493,0.0006768832,0.0004088536,0.0015920921],"category_scores_gemma":[0.0006736384,0.0003841485,0.00036486753,0.0005063147,0.00037715348,0.00074147584,0.0012611846,0.00045095177,0.000466776],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0007130977,0.00024335408,0.0046385317,0.00036230896,0.00018937477,0.001103374,0.0010983394,0.2675417,0.24867778,0.0048914226,0.0022430455,0.46829763],"study_design_scores_gemma":[0.00006979771,0.00045960388,0.0038277972,0.00003189489,0.00003188826,0.00038447036,0.0002986014,0.9536125,0.032156263,0.0026182008,0.0064520794,0.00005684876],"about_ca_topic_score_codex":0.0022092,"about_ca_topic_score_gemma":0.0026589013,"teacher_disagreement_score":0.0022092,"about_ca_system_score_codex":0.00020138707,"about_ca_system_score_gemma":0.00065481954,"threshold_uncertainty_score":0.0053260922},"labels":[],"label_agreement":null},{"id":"W4412691166","doi":"10.22260/isarc2025/0011","title":"Feasibility of an EEG-based dynamic suboptimal cognitive monitoring for field neuroergonomics","year":2025,"lang":"en","type":"article","venue":"Proceedings of the ... ISARC","topic":"Ergonomics and Human Factors","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"University of Alberta","keywords":"Electroencephalography; Computer science; Field (mathematics); Cognition; Psychology; Neuroscience; Mathematics","score_opus":0.015343797776431689,"score_gpt":0.2658537881419947,"score_spread":0.250509990365563,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4412691166","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8762872,0.0011250197,0.115783334,0.0005321,0.00010729247,0.00041334133,0.001018232,0.00032355118,0.004409966],"genre_scores_gemma":[0.9748113,0.0002903268,0.023982326,0.000095781266,0.00004619707,0.00014657281,0.00015595439,0.000012103795,0.00045937297],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.99962366,0.00016707352,0.000016309068,0.00007503946,0.00008790095,0.000029989189],"domain_scores_gemma":[0.99955374,0.00016962261,0.000053694133,0.00003404983,0.00014294013,0.00004585551],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007431255,0.000487361,0.00026567344,0.0005226219,0.00014964423,0.00072799035,0.0003392392,0.00056593743,0.0010700714],"category_scores_gemma":[0.0020228531,0.000108495784,0.00016600144,0.00036386977,0.0002609031,0.00041535162,0.0004230568,0.0002718009,0.00028030263],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.004016552,0.0006618452,0.17679404,0.0008380347,0.00023797611,0.00047490577,0.0013397415,0.006663378,0.25172648,0.0010363309,0.0027220773,0.55348873],"study_design_scores_gemma":[0.00037187285,0.0038800016,0.7786091,0.00030937052,0.0003859343,0.0014830126,0.0016968418,0.15764226,0.046217013,0.0042764465,0.0049966644,0.00013161896],"about_ca_topic_score_codex":0.0010152067,"about_ca_topic_score_gemma":0.002281639,"teacher_disagreement_score":0.0010700714,"about_ca_system_score_codex":0.0001358726,"about_ca_system_score_gemma":0.00034004287,"threshold_uncertainty_score":0.0039300323},"labels":[],"label_agreement":null},{"id":"W47203096","doi":"10.22260/isarc2013/0051","title":"Multi-Tiered Project Delivery Systems Selection for Capital Projects","year":2013,"lang":"en","type":"article","venue":"Proceedings of the ... ISARC","topic":"Construction Project Management and Performance","field":"Decision Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Concordia University","funders":"","keywords":"Integrated project delivery; Computer science; Project management; Selection (genetic algorithm); Hierarchy; General partnership; Operations research; Analytic hierarchy process; Systems engineering; Engineering management; Process management; Engineering; Business; Economics","score_opus":0.09908932129764575,"score_gpt":0.325275398430662,"score_spread":0.22618607713301625,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W47203096","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.036050558,0.0003229787,0.95345145,0.0001463689,0.000026428806,0.00086765917,0.00036856442,0.0005393855,0.008226588],"genre_scores_gemma":[0.27493933,0.00019405357,0.7218666,0.00004080588,0.000008889865,0.00051812973,0.00039147335,0.000105360414,0.001935373],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.99219733,0.0037751738,0.0004294354,0.0007031519,0.0023943305,0.00050052005],"domain_scores_gemma":[0.9951875,0.0026275464,0.00054046616,0.0003272552,0.0011161391,0.000201005],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.008318162,0.0011707001,0.0012320417,0.0056099724,0.0012362248,0.0032706065,0.001062818,0.0006893677,0.0078109694],"category_scores_gemma":[0.013952719,0.00077445235,0.0017084684,0.0034266391,0.00057198043,0.001761437,0.0018696106,0.000999525,0.00076633843],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00034567437,0.00026416843,0.010806331,0.0008081503,0.00019105543,0.00027587885,0.0008010811,0.4608468,0.006829898,0.04705637,0.0048389747,0.46693563],"study_design_scores_gemma":[0.000083070525,0.00041588693,0.0060551954,0.00022933444,0.00012543883,0.00025472045,0.0006247783,0.93931997,0.008294873,0.031938035,0.012529157,0.00012953184],"about_ca_topic_score_codex":0.004399714,"about_ca_topic_score_gemma":0.0063003357,"teacher_disagreement_score":0.008318162,"about_ca_system_score_codex":0.0027400546,"about_ca_system_score_gemma":0.0036763232,"threshold_uncertainty_score":0.04399115},"labels":[],"label_agreement":null},{"id":"W52441173","doi":"10.22260/isarc2014/0036","title":"Post-Simulation Visualization Application for Production Improvement of Modular Construction Manufacturing","year":2014,"lang":"en","type":"article","venue":"Proceedings of the ... ISARC","topic":"BIM and Construction Integration","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Modular design; Visualization; Computer science; Context (archaeology); Process (computing); Lean manufacturing; Discrete event simulation; Production (economics); Material flow; Production planning; Industrial engineering; Manufacturing engineering; Simulation; Engineering; Data mining","score_opus":0.005289366042261784,"score_gpt":0.21063486904507633,"score_spread":0.20534550300281454,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W52441173","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.06900119,0.0006130299,0.7725915,0.0005555805,0.00024409339,0.000670976,0.0033729877,0.12844488,0.024505831],"genre_scores_gemma":[0.5335523,0.0010937151,0.4358071,0.000226389,0.00008322487,0.0010412553,0.0040428042,0.007029804,0.017123446],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999619,0.00009662358,0.000034380777,0.00004739505,0.00015739085,0.000045152276],"domain_scores_gemma":[0.99881244,0.00064451,0.00007457693,0.00012880946,0.00026912434,0.00007061623],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010791734,0.0013175957,0.00065792195,0.0018012304,0.0003632585,0.001248343,0.0012394357,0.0010887966,0.03212522],"category_scores_gemma":[0.0021106978,0.0005385076,0.0011239354,0.0007469086,0.00020158033,0.00080183975,0.0012237803,0.00088617083,0.0026286806],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0018227538,0.0010638866,0.007715938,0.0027380656,0.00023669295,0.0025773237,0.0033736613,0.35133815,0.078704394,0.01012293,0.05773076,0.48257545],"study_design_scores_gemma":[0.00019574194,0.00032093946,0.0044076187,0.00027944852,0.000102324586,0.00044421962,0.0003091264,0.89600295,0.038361322,0.0044841007,0.05496271,0.00012952246],"about_ca_topic_score_codex":0.0016327469,"about_ca_topic_score_gemma":0.0017650375,"teacher_disagreement_score":0.03212522,"about_ca_system_score_codex":0.00035627588,"about_ca_system_score_gemma":0.00058656855,"threshold_uncertainty_score":0.1074695},"labels":[],"label_agreement":null},{"id":"W52574272","doi":"10.22260/isarc2013/0091","title":"Automated Development of Construction Schedules Using Onsite Data Acquisition","year":2013,"lang":"en","type":"article","venue":"Proceedings of the ... ISARC","topic":"BIM and Construction Integration","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Computer science; Download; Schedule; Documentation; SQL; Database; Benchmarking; Software; Server; Scheduling (production processes); Software engineering; Operating system","score_opus":0.022671815935721353,"score_gpt":0.22956041958331563,"score_spread":0.2068886036475943,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W52574272","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.08185082,0.00016213073,0.84843206,0.00022660565,0.00007692837,0.00078861613,0.003996219,0.048555244,0.015911438],"genre_scores_gemma":[0.50033426,0.0002316807,0.48185936,0.000064702625,0.00004116186,0.0005363143,0.007853067,0.0014289214,0.0076505477],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9989524,0.00021137514,0.000061001974,0.0002070574,0.00047995342,0.00008825337],"domain_scores_gemma":[0.9971723,0.00082480063,0.00032148184,0.00063120475,0.0008565208,0.00019376495],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010712649,0.0009638696,0.000731087,0.0021252665,0.00047112876,0.0015075948,0.0012500421,0.00030057307,0.00850769],"category_scores_gemma":[0.003267069,0.00047274586,0.00047320072,0.0013935892,0.0002458233,0.0007005822,0.0011900103,0.00050585496,0.0027698642],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00051615067,0.0003799124,0.01223106,0.00033161652,0.00008676855,0.00031902565,0.00101309,0.14264336,0.019140625,0.004989589,0.028013507,0.79033524],"study_design_scores_gemma":[0.00008529871,0.000139137,0.011146406,0.00007939711,0.000038046717,0.000108593806,0.0006976556,0.92662793,0.019453457,0.0035572986,0.037993874,0.00007292841],"about_ca_topic_score_codex":0.023795398,"about_ca_topic_score_gemma":0.024330981,"teacher_disagreement_score":0.023795398,"about_ca_system_score_codex":0.0009939157,"about_ca_system_score_gemma":0.002159782,"threshold_uncertainty_score":0.04731381},"labels":[],"label_agreement":null},{"id":"W54930600","doi":"10.22260/isarc2013/0018","title":"Modules for the Underground Mine","year":2013,"lang":"en","type":"article","venue":"Proceedings of the ... ISARC","topic":"Industrial Automation and Control Systems","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Computer science; Flexibility (engineering); Spare part; Automation; Modular design; Software engineering; Systems engineering; Engineering; Operating system; Operations management; Mechanical engineering","score_opus":0.01339718664525564,"score_gpt":0.1887970414847279,"score_spread":0.17539985483947226,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W54930600","genre_codex":"other","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.024032047,0.008475782,0.3271231,0.005776353,0.0045360676,0.00056021987,0.0033686326,0.032793906,0.5933339],"genre_scores_gemma":[0.12737685,0.005878522,0.09852559,0.0024015896,0.0016423643,0.00036183945,0.006753176,0.010059272,0.7470008],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9995863,0.000053838325,0.000021701408,0.00005700023,0.00021440431,0.000066854416],"domain_scores_gemma":[0.9995832,0.000043565142,0.000027232536,0.00010305295,0.00014198068,0.00010091459],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00043101597,0.00090759556,0.00033993137,0.0009684755,0.0006773023,0.001862408,0.00087983755,0.0012019977,0.15182741],"category_scores_gemma":[0.0008707254,0.00034398356,0.0005873255,0.00089102826,0.0005322194,0.0032580534,0.0029205435,0.0011170673,0.057760734],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00014886081,0.00008367969,0.0011882802,0.0006535797,0.000025539539,0.0005093796,0.0008181063,0.0015468327,0.031851776,0.09661288,0.35617313,0.51038796],"study_design_scores_gemma":[0.0000056142458,0.0000281797,0.00048562913,0.00004139281,0.0000064605338,0.00033859123,0.00005183233,0.00033625154,0.002018509,0.003494551,0.9931837,0.000009195598],"about_ca_topic_score_codex":0.00055142015,"about_ca_topic_score_gemma":0.00080490735,"teacher_disagreement_score":0.15182741,"about_ca_system_score_codex":0.00052445434,"about_ca_system_score_gemma":0.000668652,"threshold_uncertainty_score":0.5079133},"labels":[],"label_agreement":null},{"id":"W569391","doi":"10.22260/isarc2013/0039","title":"Image-Based Change Detection for Bridge Inspection","year":2013,"lang":"en","type":"article","venue":"Proceedings of the ... ISARC","topic":"Remote-Sensing Image Classification","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"Natural Sciences and Engineering Research Council of Canada; Concordia University","keywords":"Change detection; Computer science; Artificial intelligence; Computer vision; Process (computing); Background subtraction; Visual inspection; Bridge (graph theory); Digital image; Image processing; Image (mathematics); Pattern recognition (psychology); Pixel","score_opus":0.02878606335900784,"score_gpt":0.22146262328902752,"score_spread":0.19267655993001967,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W569391","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.02773991,0.00092043565,0.96702677,0.00012031489,0.00007352822,0.000093337265,0.00015045775,0.0013958802,0.0024793507],"genre_scores_gemma":[0.34480765,0.0012102983,0.6507283,0.00012608837,0.0000962492,0.00012824948,0.00041784986,0.000110760586,0.002374412],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99961275,0.000054369244,0.000016508076,0.0000769014,0.00020730752,0.000032047887],"domain_scores_gemma":[0.99963725,0.00008790097,0.000058310874,0.000055868724,0.00014134863,0.000019363551],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00037134028,0.00037138385,0.0005092441,0.002070946,0.00016271933,0.00059841323,0.0006297211,0.000772094,0.0015365741],"category_scores_gemma":[0.0010679979,0.00022872553,0.00042996608,0.0013747364,0.0003927744,0.00076816184,0.00046205622,0.0004851729,0.0009263372],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00021874472,0.00012887934,0.0021978945,0.00029784514,0.000048194943,0.0001654217,0.00008793359,0.021845384,0.17501578,0.0036249394,0.0031904504,0.79317856],"study_design_scores_gemma":[0.000022991735,0.00019604705,0.010536598,0.00004254839,0.00006913389,0.0005929952,0.0000889965,0.8701305,0.10294475,0.0035782948,0.011739833,0.000057284],"about_ca_topic_score_codex":0.001157949,"about_ca_topic_score_gemma":0.0012023797,"teacher_disagreement_score":0.002070946,"about_ca_system_score_codex":0.0003513426,"about_ca_system_score_gemma":0.00025578198,"threshold_uncertainty_score":0.005140364},"labels":[],"label_agreement":null},{"id":"W58792425","doi":"10.22260/isarc2003/0041","title":"Open Architecture for Site Layout Modeling","year":2003,"lang":"en","type":"article","venue":"Proceedings of the ... ISARC","topic":"Advanced Manufacturing and Logistics Optimization","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"","keywords":"Computer science; Architecture; Plan (archaeology); Object (grammar); Floor plan; Selection (genetic algorithm); Building information modeling; Software engineering; Engineering drawing; Engineering; Artificial intelligence; Scheduling (production processes)","score_opus":0.018970861869626245,"score_gpt":0.23141927885130048,"score_spread":0.21244841698167424,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W58792425","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.002568686,0.000056195648,0.9906555,0.000058069025,0.000018174731,0.000051206698,0.000088472436,0.0013889828,0.005114777],"genre_scores_gemma":[0.15861566,0.00039981882,0.82701486,0.00007391568,0.00003493995,0.0005499069,0.0011484126,0.00055432564,0.011608073],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99918455,0.00025196435,0.00006370638,0.00010497159,0.00032394854,0.000070741706],"domain_scores_gemma":[0.9993024,0.00020378923,0.000054191554,0.00022209954,0.00017446981,0.00004294438],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008809016,0.0006139787,0.00044225977,0.00087626884,0.0007386555,0.0030448341,0.0021499249,0.0013513081,0.008449953],"category_scores_gemma":[0.0018306699,0.0006056758,0.0012746875,0.0009870144,0.0008689455,0.002569944,0.0020991985,0.0014781485,0.0026013264],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000051662304,0.00009254943,0.0010657216,0.0001628037,0.000057177273,0.00021421284,0.00033571746,0.5513346,0.00366558,0.36196855,0.0043699006,0.0766815],"study_design_scores_gemma":[0.000018743362,0.000023725483,0.00016510863,0.00004062958,0.000018155812,0.00008329973,0.00004392083,0.86894876,0.0016834971,0.071376696,0.057581693,0.000015863456],"about_ca_topic_score_codex":0.004546593,"about_ca_topic_score_gemma":0.0047081825,"teacher_disagreement_score":0.008449953,"about_ca_system_score_codex":0.0010174555,"about_ca_system_score_gemma":0.00121629,"threshold_uncertainty_score":0.02826786},"labels":[],"label_agreement":null},{"id":"W6035831","doi":"10.22260/isarc2014/0114","title":"A Preliminary Investigation into Automated Identification ofStructural Steel Without A Priori Knowledge","year":2014,"lang":"en","type":"article","venue":"Proceedings of the ... ISARC","topic":"3D Surveying and Cultural Heritage","field":"Earth and Planetary Sciences","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Identification (biology); Component (thermodynamics); A priori and a posteriori; Computer science; Process (computing); Object (grammar); Point cloud; Section (typography); Artificial intelligence; Engineering drawing; Engineering; Programming language","score_opus":0.014426802998797962,"score_gpt":0.22902272700214354,"score_spread":0.2145959240033456,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6035831","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.19016214,0.00028857015,0.79995394,0.00021574707,0.00006022035,0.0003995228,0.00029173613,0.0032592667,0.0053689536],"genre_scores_gemma":[0.37017307,0.00021640009,0.62128145,0.00011411299,0.000029979317,0.00015206008,0.0008576921,0.00017273538,0.007002442],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9988538,0.00020096664,0.000059220085,0.00026101735,0.00052711833,0.00009795499],"domain_scores_gemma":[0.99687344,0.001010791,0.00018564072,0.0006429832,0.0012166688,0.00007051686],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009471821,0.00053836417,0.00051687297,0.0006759237,0.00052706024,0.0011169976,0.0010149175,0.0009351644,0.0037097614],"category_scores_gemma":[0.0033708022,0.0002993628,0.00042709694,0.00051809923,0.0005315963,0.0014240362,0.0005375074,0.00040157943,0.001497831],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00051450386,0.00040388876,0.0088412445,0.00043904176,0.000073114956,0.00037019537,0.00038943527,0.039640952,0.37478215,0.003394283,0.0028920618,0.5682591],"study_design_scores_gemma":[0.000058303205,0.0012202045,0.024646606,0.00004479407,0.00006530434,0.0012190734,0.00042102314,0.63139063,0.31714377,0.0020679215,0.021649176,0.0000731886],"about_ca_topic_score_codex":0.0035987198,"about_ca_topic_score_gemma":0.004794666,"teacher_disagreement_score":0.0037097614,"about_ca_system_score_codex":0.00043492333,"about_ca_system_score_gemma":0.0011313483,"threshold_uncertainty_score":0.012410402},"labels":[],"label_agreement":null},{"id":"W6087492","doi":"10.22260/isarc2013/0052","title":"Material Status Index in Support of EVM","year":2013,"lang":"en","type":"article","venue":"Proceedings of the ... ISARC","topic":"BIM and Construction Integration","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Concordia University","funders":"","keywords":"Schedule; Float (project management); Index (typography); Computer science; Earned value management; Operations research; Project management; Engineering; Systems engineering; Project portfolio management; Operating system; World Wide Web","score_opus":0.004594481370357864,"score_gpt":0.17791917700016416,"score_spread":0.1733246956298063,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6087492","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5294016,0.0012811004,0.3416633,0.00045626189,0.00022902906,0.0008412353,0.009241973,0.002070876,0.11481471],"genre_scores_gemma":[0.8876314,0.00038717303,0.10101993,0.000022420158,0.000050026632,0.00023334594,0.0041744863,0.00007917081,0.0064021056],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9980945,0.00026742608,0.0001637787,0.00020201187,0.0011829102,0.00008942295],"domain_scores_gemma":[0.9960283,0.0010386204,0.00083905144,0.00026655145,0.0017006281,0.00012679408],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0017659198,0.00063563546,0.00040073463,0.005591028,0.00030823372,0.001946708,0.0006704854,0.00030301182,0.0023827937],"category_scores_gemma":[0.0067498507,0.0001598002,0.00039893974,0.0042827716,0.00036457911,0.0012942781,0.00086121046,0.00039612895,0.0006122983],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002707665,0.00021142387,0.22787648,0.00075821794,0.00013572512,0.00045542652,0.0012134144,0.08353799,0.013297663,0.026905032,0.008306044,0.63703185],"study_design_scores_gemma":[0.000024386589,0.00080438494,0.3915465,0.0003068983,0.00013751636,0.0006880092,0.0027703524,0.4864347,0.023962094,0.011919078,0.08119781,0.00020832922],"about_ca_topic_score_codex":0.008556191,"about_ca_topic_score_gemma":0.011781878,"teacher_disagreement_score":0.008556191,"about_ca_system_score_codex":0.0014725233,"about_ca_system_score_gemma":0.0013411958,"threshold_uncertainty_score":0.017012775},"labels":[],"label_agreement":null},{"id":"W63721855","doi":"10.22260/isarc2013/0162","title":"The Autonomous Real-Time System for Ubiquitous Construction Resource Tracking","year":2013,"lang":"en","type":"article","venue":"Proceedings of the ... ISARC","topic":"BIM and Construction Integration","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Computer science; Tracking system; Resource (disambiguation); Automation; Global Positioning System; Geolocation; Truck; Process (computing); Database; Systems engineering; Operating system; Engineering; Automotive engineering; Computer network","score_opus":0.0061374552570229194,"score_gpt":0.18277360198357048,"score_spread":0.17663614672654757,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W63721855","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.047598664,0.001176836,0.87439734,0.000540255,0.00054010504,0.0005094004,0.0006969055,0.049120486,0.025419997],"genre_scores_gemma":[0.7890655,0.0006192178,0.17900825,0.0005808864,0.00021736092,0.0007033064,0.0018689951,0.00069469446,0.02724178],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99933785,0.00010787007,0.000035239522,0.000112869544,0.0003362324,0.00006997671],"domain_scores_gemma":[0.9995863,0.00007021037,0.00003765707,0.0000883536,0.00015495112,0.00006263416],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006911719,0.0003506463,0.00046921728,0.0005719076,0.0002703549,0.00091596623,0.0008664647,0.0005978272,0.006354637],"category_scores_gemma":[0.0010685286,0.00014594645,0.00017479116,0.00041695448,0.00024407265,0.0008897429,0.001307297,0.0005284632,0.0031369436],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00090205413,0.00028177365,0.004266508,0.00024607882,0.00005445699,0.00048398733,0.0006566289,0.014632878,0.11523654,0.01163669,0.062956974,0.7886454],"study_design_scores_gemma":[0.00024620432,0.001078478,0.008218477,0.00008531865,0.00007891633,0.0010398986,0.0002775776,0.62742996,0.05898081,0.0058666505,0.29654944,0.00014826194],"about_ca_topic_score_codex":0.0013260065,"about_ca_topic_score_gemma":0.0008686648,"teacher_disagreement_score":0.006354637,"about_ca_system_score_codex":0.0003638255,"about_ca_system_score_gemma":0.00066328916,"threshold_uncertainty_score":0.021258354},"labels":[],"label_agreement":null},{"id":"W64129996","doi":"10.22260/isarc2006/0066","title":"Evaluation of Asphalt Pavement Crack Sealing Performance Using Image Processing Technique","year":2006,"lang":"en","type":"article","venue":"Proceedings of the ... ISARC","topic":"Infrastructure Maintenance and Monitoring","field":"Engineering","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Road surface; Asphalt; Asphalt pavement; Download; Image processing; Computer science; Engineering; Forensic engineering; Database; Civil engineering; Materials science; Image (mathematics); Artificial intelligence; World Wide Web; Composite material","score_opus":0.015099539167390593,"score_gpt":0.24547086027211956,"score_spread":0.23037132110472897,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W64129996","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.94245446,0.00053459546,0.055223767,0.000036746886,0.000023443483,0.000046237263,0.00010932536,0.00030155716,0.0012698452],"genre_scores_gemma":[0.96948516,0.0002597549,0.029357832,0.000010269889,0.000009247948,0.000017636346,0.00013158501,0.000025736708,0.00070273847],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99961096,0.000056848436,0.000026133217,0.00006228166,0.00020361821,0.00004019258],"domain_scores_gemma":[0.9989164,0.00033643888,0.00015940363,0.00006715571,0.00047269842,0.000047866306],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00054527743,0.0003714789,0.00029190697,0.0014028302,0.00015560191,0.00045915094,0.0003008268,0.00068525784,0.0011968116],"category_scores_gemma":[0.0014513653,0.00013639977,0.0002744031,0.0006228241,0.00023064257,0.0006268382,0.00021320324,0.00026851843,0.00035339227],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00066184625,0.00021080309,0.008124344,0.00024462264,0.000046686782,0.00012424355,0.00018021696,0.006262304,0.8831,0.00011038737,0.00028533247,0.10064925],"study_design_scores_gemma":[0.000023159982,0.0017293479,0.05904145,0.000022096543,0.00011509923,0.00047286146,0.0002123504,0.10025781,0.83722043,0.00010419573,0.00075222633,0.000048965947],"about_ca_topic_score_codex":0.000891929,"about_ca_topic_score_gemma":0.0006433014,"teacher_disagreement_score":0.0014028302,"about_ca_system_score_codex":0.00014231293,"about_ca_system_score_gemma":0.00012846943,"threshold_uncertainty_score":0.0040037036},"labels":[],"label_agreement":null},{"id":"W70484859","doi":"10.22260/isarc2013/0110","title":"Stereo Vision Based Worker Detection System for Excavator","year":2013,"lang":"en","type":"article","venue":"Proceedings of the ... ISARC","topic":"Elevator Systems and Control","field":"Engineering","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Excavator; Obstacle; Computer vision; Computer science; Artificial intelligence; Stereopsis; Machine vision; Distortion (music); Stereo cameras; Operator (biology); Engineering","score_opus":0.004497515753755275,"score_gpt":0.1760619809457592,"score_spread":0.1715644651920039,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W70484859","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.15811348,0.00075021497,0.8117095,0.0004239406,0.0002854537,0.00040032837,0.0007183673,0.0147391595,0.012859549],"genre_scores_gemma":[0.6552749,0.0005113758,0.32281545,0.00048318662,0.00012552638,0.00033527153,0.0011363266,0.00019796248,0.019120041],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99955004,0.00003353435,0.000017416016,0.00009420632,0.00023951031,0.00006523688],"domain_scores_gemma":[0.99964845,0.00003037813,0.000028670982,0.000035816727,0.00021989294,0.000036772548],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00034158965,0.00041779023,0.0006483461,0.0011158293,0.00032555437,0.0003947308,0.0011318879,0.00088375085,0.0046681324],"category_scores_gemma":[0.00045701917,0.00031807867,0.0004332863,0.0004331851,0.00016013699,0.00042589937,0.0006344102,0.00040354792,0.0020546596],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0006746912,0.0002138118,0.005377718,0.00031365422,0.00004632205,0.00056782714,0.0003587308,0.002900751,0.51088613,0.0007941125,0.015664117,0.46220213],"study_design_scores_gemma":[0.0004331267,0.001844945,0.055494424,0.00016367252,0.00029541072,0.0039874627,0.00061273767,0.39052722,0.47381797,0.0013981095,0.07108067,0.00034417032],"about_ca_topic_score_codex":0.0020272087,"about_ca_topic_score_gemma":0.002307391,"teacher_disagreement_score":0.0046681324,"about_ca_system_score_codex":0.00030695132,"about_ca_system_score_gemma":0.0008527783,"threshold_uncertainty_score":0.015616477},"labels":[],"label_agreement":null},{"id":"W8125229","doi":"10.22260/isarc2013/0154","title":"Mobile 3D Mapping for Surveying Earthwork Using an Unmanned Aerial Vehicle (UAV)","year":2013,"lang":"en","type":"article","venue":"Proceedings of the ... ISARC","topic":"3D Surveying and Cultural Heritage","field":"Earth and Planetary Sciences","cited_by":25,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Photogrammetry; Geomatics; Point cloud; Mobile mapping; Total station; Computer science; Software; Aerial survey; Earthworks; Global Positioning System; Remote sensing; Engineering; Artificial intelligence; Geography; Telecommunications; Operating system","score_opus":0.044537668737404064,"score_gpt":0.23355749486842195,"score_spread":0.1890198261310179,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W8125229","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.11164979,0.00066224486,0.87646526,0.00012672573,0.000096918004,0.00018038794,0.00030667614,0.003938033,0.006574025],"genre_scores_gemma":[0.55812824,0.0006741775,0.4338601,0.000067563655,0.000032128333,0.00015849722,0.0005842735,0.00014420728,0.006350893],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9998292,0.00001965152,0.000004750473,0.000030140509,0.00010195275,0.000014331474],"domain_scores_gemma":[0.9999032,0.000019004498,0.000010694109,0.000022054497,0.000034914672,0.000010080736],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000108586246,0.0003624147,0.0002546937,0.0006531264,0.00017176666,0.00038271782,0.00032341984,0.00032397502,0.0026803534],"category_scores_gemma":[0.00023092623,0.0001622171,0.00026617065,0.00039686565,0.00013892581,0.00038513137,0.00047182673,0.00021547513,0.0009943282],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000105490784,0.00006221642,0.0036652214,0.00025728764,0.000048239475,0.00042154524,0.00039669703,0.03753617,0.28018877,0.0020458556,0.005183429,0.67008907],"study_design_scores_gemma":[0.000079772086,0.0007054627,0.023713833,0.00012703211,0.00009748047,0.001590559,0.0008228815,0.72645587,0.15327477,0.0021388517,0.090907626,0.000085812695],"about_ca_topic_score_codex":0.0027199944,"about_ca_topic_score_gemma":0.003576934,"teacher_disagreement_score":0.0027199944,"about_ca_system_score_codex":0.00014349516,"about_ca_system_score_gemma":0.0002761774,"threshold_uncertainty_score":0.008966684},"labels":[],"label_agreement":null},{"id":"W81909585","doi":"10.22260/isarc2013/0088","title":"Safety Perception and its Effects on Safety Climate in Industrial Construction","year":2013,"lang":"en","type":"article","venue":"Proceedings of the ... ISARC","topic":"Occupational Health and Safety Research","field":"Health Professions","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Safety climate; Audit; Occupational safety and health; Business; Operations management; Engineering; Accounting; Political science","score_opus":0.05294075653501512,"score_gpt":0.38071008524869354,"score_spread":0.3277693287136784,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W81909585","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9982303,0.00018921628,0.00007987569,0.00014396408,0.000011154486,0.000009448362,0.000023190061,0.0000036709575,0.0013092475],"genre_scores_gemma":[0.9994937,0.00007759064,0.000045058347,0.000023978786,0.0000056520325,0.00001143599,0.00002854256,0.0000023440289,0.0003117274],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99691343,0.001451997,0.000097522316,0.0002833511,0.00082795124,0.00042570612],"domain_scores_gemma":[0.9893,0.0034839383,0.0028541032,0.00029951346,0.0011066459,0.0029557368],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0027278115,0.00032877698,0.00031105027,0.00081123837,0.0011517627,0.0014775187,0.00055863085,0.00068237935,0.004971705],"category_scores_gemma":[0.0067485557,0.00029154288,0.0007970257,0.00073505496,0.00112117,0.00037467398,0.0021008754,0.0012662008,0.00039865365],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00034800114,0.0016444792,0.97656566,0.000078443794,0.00014968372,0.00013205108,0.007970648,0.0003556156,0.00089799345,0.00023445183,0.0005373185,0.0110855885],"study_design_scores_gemma":[0.0000026197472,0.00010792092,0.99727964,0.000010906229,0.000009681532,0.000010375125,0.0022290144,0.000115842,0.000037286583,0.0000375858,0.00015453667,0.000004644124],"about_ca_topic_score_codex":0.01044009,"about_ca_topic_score_gemma":0.010017982,"teacher_disagreement_score":0.01044009,"about_ca_system_score_codex":0.001341264,"about_ca_system_score_gemma":0.0011951005,"threshold_uncertainty_score":0.020758629},"labels":[],"label_agreement":null},{"id":"W84208449","doi":"10.22260/isarc2013/0146","title":"Criticality-Based Model for Rehabilitating Subway Stations","year":2013,"lang":"en","type":"article","venue":"Proceedings of the ... ISARC","topic":"Transportation Planning and Optimization","field":"Social Sciences","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Criticality; Subway station; Cluster analysis; Computer science; Process (computing); Transit (satellite); Interdependence; Transport engineering; Operations research; Set (abstract data type); Fuzzy set; Fuzzy logic; Engineering; Artificial intelligence; Public transport","score_opus":0.03014654048263516,"score_gpt":0.30768968849654177,"score_spread":0.2775431480139066,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W84208449","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.115997486,0.0007335313,0.8595175,0.00084864214,0.00012940221,0.00028259138,0.0006431118,0.00038874405,0.02145887],"genre_scores_gemma":[0.9615085,0.0005467796,0.02468808,0.000054043237,0.00006658808,0.00035268624,0.0004236273,0.000056231776,0.012303552],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9992526,0.00015829396,0.000033685315,0.00020349785,0.00019446106,0.0001574609],"domain_scores_gemma":[0.99886847,0.00046689788,0.00017406573,0.000025480529,0.00036016383,0.000104882354],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012241692,0.0014580438,0.0010924798,0.0021142443,0.0010296901,0.0023533113,0.0029740483,0.0021599445,0.00730599],"category_scores_gemma":[0.0024274082,0.000758063,0.0015434517,0.0011239921,0.0011955315,0.001970947,0.0015251908,0.002023242,0.0008799302],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000027185331,0.0000241067,0.00064168184,0.000034502744,0.000016804217,0.00012058145,0.00009429994,0.9873997,0.00041914143,0.0082207685,0.00033512307,0.0026662266],"study_design_scores_gemma":[0.0000034408342,0.000011571383,0.00012119023,0.0000055083415,0.0000075358635,0.000009931302,0.000024993567,0.9970426,0.000060597224,0.0024309633,0.00027607518,0.0000055232335],"about_ca_topic_score_codex":0.033314496,"about_ca_topic_score_gemma":0.019375829,"teacher_disagreement_score":0.033314496,"about_ca_system_score_codex":0.0038484165,"about_ca_system_score_gemma":0.0021947704,"threshold_uncertainty_score":0.066241145},"labels":[],"label_agreement":null},{"id":"W86723469","doi":"10.22260/isarc2014/0034","title":"Wood-Frame Wall Panel Sequencing Based on Discrete-Event Simulation and Particle Swarm Optimization","year":2014,"lang":"en","type":"article","venue":"Proceedings of the ... ISARC","topic":"Manufacturing Process and Optimization","field":"Engineering","cited_by":21,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Particle swarm optimization; Frame (networking); Event (particle physics); Process (computing); Doors; Computer science; Task (project management); Algorithm; Engineering; Discrete event simulation; Sequence (biology); Real-time computing; Simulation; Mechanical engineering; Systems engineering","score_opus":0.016004271532784362,"score_gpt":0.21806504742781305,"score_spread":0.2020607758950287,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W86723469","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.054160427,0.00016567127,0.94075114,0.000113612004,0.00005768184,0.0001230784,0.000074826734,0.00042190772,0.0041317143],"genre_scores_gemma":[0.8628313,0.00019590255,0.13346103,0.000045422414,0.000026828784,0.00028861355,0.0002461963,0.00006117362,0.0028435113],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99967897,0.00009262117,0.000020946514,0.00007359214,0.00008874451,0.000045050972],"domain_scores_gemma":[0.9988055,0.00078095065,0.00013586666,0.000046995923,0.00015210715,0.00007863396],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007802522,0.00093307905,0.001168424,0.0006363222,0.0005059837,0.0010791832,0.00093508465,0.0009199314,0.0017594184],"category_scores_gemma":[0.001574116,0.0005577607,0.0011090662,0.0005256417,0.0004404255,0.00061636354,0.00064652576,0.0008754506,0.00024880207],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000021349299,0.000018336586,0.00024128205,0.000016134487,0.000010093412,0.000022904062,0.000011974718,0.99511033,0.00032731687,0.00040114834,0.00006641708,0.0037527513],"study_design_scores_gemma":[0.0000019146703,0.000005660815,0.000032423806,9.533732e-7,0.000001788216,0.0000012904479,0.0000024983203,0.9997187,0.00009195875,0.00010264348,0.000038861217,0.0000012205882],"about_ca_topic_score_codex":0.01520564,"about_ca_topic_score_gemma":0.00857901,"teacher_disagreement_score":0.01520564,"about_ca_system_score_codex":0.0006803744,"about_ca_system_score_gemma":0.0012027777,"threshold_uncertainty_score":0.030234277},"labels":[],"label_agreement":null},{"id":"W89732604","doi":"10.22260/isarc2013/0086","title":"Impact of Building Information Modeling on Just-in-Time Material Delivery","year":2013,"lang":"en","type":"article","venue":"Proceedings of the ... ISARC","topic":"BIM and Construction Integration","field":"Engineering","cited_by":11,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"","keywords":"Material flow; Computer science; Materials management; Building information modeling; Delivery Performance; Scheduling (production processes); Productivity; Process (computing); Manufacturing engineering; Reliability engineering; Process management; Operations management; Engineering","score_opus":0.006797903422808936,"score_gpt":0.19939720260744584,"score_spread":0.1925992991846369,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W89732604","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.70846224,0.0019030548,0.23085831,0.002436879,0.00020145671,0.0005541246,0.0012430808,0.0018478007,0.05249299],"genre_scores_gemma":[0.9282246,0.0005913888,0.068826154,0.00008966235,0.000012840618,0.00009494087,0.00043562028,0.00018260043,0.0015421812],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.9854224,0.00756823,0.0005487832,0.00045336183,0.005419396,0.00058782037],"domain_scores_gemma":[0.9466726,0.040920038,0.0034902408,0.004638397,0.003797356,0.00048135765],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.010653651,0.0012187453,0.0008926862,0.0023491124,0.00075149647,0.005003654,0.0010718829,0.0010597592,0.00422262],"category_scores_gemma":[0.03377897,0.0007437443,0.0009780439,0.0027627125,0.0009153399,0.0041896696,0.0020854233,0.0010657954,0.00056313886],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00085025735,0.0004702764,0.016817303,0.0004346812,0.00014830836,0.00025088535,0.0004992112,0.8348531,0.006356762,0.016370317,0.0011874206,0.12176155],"study_design_scores_gemma":[0.00006247356,0.00089960266,0.011279006,0.00019511962,0.0001689525,0.00028823447,0.0010525989,0.95346904,0.016532786,0.007664604,0.0082749985,0.00011255735],"about_ca_topic_score_codex":0.0091119185,"about_ca_topic_score_gemma":0.0064053778,"teacher_disagreement_score":0.010653651,"about_ca_system_score_codex":0.0030101603,"about_ca_system_score_gemma":0.002577044,"threshold_uncertainty_score":0.056342542},"labels":[],"label_agreement":null},{"id":"W90887207","doi":"10.22260/isarc2004/0093","title":"Digital Imaging in Assessment of Construction Project Progress","year":2004,"lang":"en","type":"article","venue":"Proceedings of the ... ISARC","topic":"3D Surveying and Cultural Heritage","field":"Earth and Planetary Sciences","cited_by":23,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Computer science; Segmentation; Computer vision; Canny edge detector; Image segmentation; Artificial intelligence; Digital image; Digital imaging; Enhanced Data Rates for GSM Evolution; Edge detection; Image processing; Image (mathematics)","score_opus":0.01220588003331132,"score_gpt":0.2411133692013204,"score_spread":0.22890748916800907,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W90887207","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.21441254,0.015594844,0.6956478,0.0012912486,0.00055834046,0.000542914,0.0006763917,0.0010569176,0.07021904],"genre_scores_gemma":[0.6915068,0.006249259,0.2926907,0.00017381326,0.00014372282,0.0001936198,0.00024077627,0.000078026285,0.008723375],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9983961,0.00065493357,0.000103055216,0.00013750809,0.00063383277,0.000074473086],"domain_scores_gemma":[0.9974197,0.0011719563,0.0002748129,0.00016634038,0.00084646227,0.00012069836],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0022492486,0.00048136266,0.00030764448,0.0070415693,0.00025465898,0.0014214666,0.0005493017,0.00076678436,0.003485981],"category_scores_gemma":[0.0043370705,0.0002686234,0.00024834136,0.0035184028,0.0012035037,0.0016976432,0.0008821074,0.0005717891,0.00089236733],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0004843489,0.00014188801,0.036496375,0.00093329314,0.000076955876,0.00042597004,0.00064339064,0.016581347,0.03663235,0.018389512,0.005026753,0.8841677],"study_design_scores_gemma":[0.00015862894,0.0015937568,0.22176796,0.0012699232,0.0004791683,0.008391167,0.005012074,0.35718438,0.20762444,0.043700457,0.15235762,0.00046047554],"about_ca_topic_score_codex":0.0019804367,"about_ca_topic_score_gemma":0.0021235207,"teacher_disagreement_score":0.0070415693,"about_ca_system_score_codex":0.00073561666,"about_ca_system_score_gemma":0.00048885145,"threshold_uncertainty_score":0.011895359},"labels":[],"label_agreement":null},{"id":"W93545470","doi":"10.22260/isarc2013/0105","title":"Surveying BIM in the Lebanese Construction Industry","year":2013,"lang":"en","type":"article","venue":"Proceedings of the ... ISARC","topic":"BIM and Construction Integration","field":"Engineering","cited_by":19,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Building information modeling; Work (physics); Construction industry; Productivity; Engineering management; Engineering; Business; Construction engineering; Operations management","score_opus":0.009791153595248936,"score_gpt":0.19120088503349825,"score_spread":0.18140973143824932,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W93545470","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98464715,0.0025899068,0.0024704356,0.00081474124,0.00003817459,0.00010151815,0.00037809828,0.000027142814,0.00893278],"genre_scores_gemma":[0.9889916,0.003603336,0.0031513746,0.00023678514,0.000027157326,0.00013864793,0.0005629901,0.000013439326,0.0032746792],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9974612,0.0009672828,0.00019002821,0.00017876952,0.0008415006,0.00036120493],"domain_scores_gemma":[0.996167,0.0010891334,0.0005769491,0.00011118026,0.0018924425,0.00016332966],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0045037214,0.00031301574,0.00025586368,0.00602081,0.0014342456,0.0017878473,0.0004701848,0.0005966997,0.0028770838],"category_scores_gemma":[0.004231656,0.00021758466,0.00020128551,0.0055117956,0.00073393155,0.0018072444,0.002016174,0.0003823238,0.0006636319],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00019845662,0.0003380416,0.5246181,0.0010840098,0.00004810131,0.0019327413,0.060522743,0.0011705252,0.0072458694,0.0053080865,0.007836939,0.38969633],"study_design_scores_gemma":[0.000009717157,0.00030974945,0.55791396,0.0010747452,0.000026195268,0.0010003054,0.32061204,0.0022337444,0.0042402823,0.0011921491,0.111311756,0.00007539393],"about_ca_topic_score_codex":0.012523856,"about_ca_topic_score_gemma":0.016245773,"teacher_disagreement_score":0.012523856,"about_ca_system_score_codex":0.0022144555,"about_ca_system_score_gemma":0.0020393808,"threshold_uncertainty_score":0.024901927},"labels":[],"label_agreement":null},{"id":"W95242130","doi":"10.22260/isarc2003/0011","title":"Procedure Design for Experiments Towards Modeling of the Cutting Force in Excavation of Bulk Media","year":2003,"lang":"en","type":"article","venue":"Proceedings of the ... ISARC","topic":"Tunneling and Rock Mechanics","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Automation; Excavation; Computer science; Function (biology); Process (computing); Work (physics); Digging; Plan (archaeology); Mechanical engineering; Industrial engineering; Engineering; Geotechnical engineering; Geology","score_opus":0.03414169168791094,"score_gpt":0.23348090213064848,"score_spread":0.19933921044273756,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W95242130","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0078045013,0.00004282995,0.98967814,0.000024726734,0.000019640085,0.00093992543,0.0000553612,0.000288919,0.0011460622],"genre_scores_gemma":[0.15519133,0.00015772598,0.83564824,0.000066566645,0.000021280946,0.007057266,0.00015317797,0.000089687695,0.0016147081],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9915767,0.0056444495,0.00036597424,0.0007625954,0.0013464614,0.00030375738],"domain_scores_gemma":[0.9829311,0.011656224,0.0018903903,0.0012403727,0.0020928765,0.00018915616],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.012119615,0.0012431679,0.0006995575,0.00050352846,0.00035408157,0.0012776782,0.001730886,0.0014040071,0.0062221475],"category_scores_gemma":[0.01466311,0.0004106821,0.0012660464,0.00031551963,0.0009972445,0.00087658287,0.0010449896,0.0014153637,0.00070051814],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0039491234,0.0013988614,0.0038124959,0.0031101347,0.0002850092,0.00032976453,0.00082954916,0.5509201,0.08273326,0.13532798,0.0016861255,0.21561757],"study_design_scores_gemma":[0.00070392207,0.008524158,0.002678103,0.0003005686,0.00025588926,0.00009306036,0.00016670274,0.8586641,0.07347954,0.02900539,0.026040122,0.000088465014],"about_ca_topic_score_codex":0.0005210318,"about_ca_topic_score_gemma":0.00030802397,"teacher_disagreement_score":0.012119615,"about_ca_system_score_codex":0.0007411961,"about_ca_system_score_gemma":0.0017535859,"threshold_uncertainty_score":0.06409544},"labels":[],"label_agreement":null}]}