{"meta":{"page":1,"per_page":50,"max_per_page":100,"total":190,"total_is_capped":false,"direct_labels_cover":0,"predictions_cover":190,"direct_label_status":"direct model label, unvalidated","prediction_status":"machine_predicted_unvalidated (Codex and Gemma teacher distillation)","score_status":"score_only:v0-immature-baseline (scores rank; they never assert a category)","snapshot":{"source":"OpenAlex, pinned release, all 482 partitions","release":"2026-06-24","frame_built":"2026-07-12","author_layer_release":"2026-06-26"},"query_hash":"40b4e51eda01","filters":{"venue":"Automation in Construction"}},"results":[{"id":"W1968200193","doi":"10.1016/j.autcon.2014.05.014","title":"The value of integrating Scan-to-BIM and Scan-vs-BIM techniques for construction monitoring using laser scanning and BIM: The case of cylindrical MEP components","year":2014,"lang":"en","type":"article","venue":"Automation in Construction","topic":"3D Surveying and Cultural Heritage","field":"Earth and Planetary Sciences","cited_by":533,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Laser scanning; Building information modeling; Engineering; Construction engineering; Computer science; Laser; Operations management; Physics","authors":[{"name":"Frédéric Bosché","is_ca":false},{"name":"Mahmoud Ahmed","is_ca":true},{"name":"Yelda Türkan","is_ca":false},{"name":"Carl T. Haas","is_ca":true},{"name":"Ralph Haas","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.02227891485779354,"gpt":0.2677841352739924,"spread":0.2455052204161989,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005191936,0.0009771832,0.0005391681,0.001862391,0.00136633,0.004392091,0.00176691,0.002538492,0.004841838],"category_scores_gemma":[0.01376638,0.0006773934,0.0005758703,0.002431152,0.002621821,0.008366873,0.003880406,0.001079884,0.0008311016],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009147256,"about_ca_system_score_gemma":0.001579665,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005267309,"about_ca_topic_score_gemma":0.009932864,"domain_scores_codex":[0.9963045,0.001415256,0.0001281758,0.0002887795,0.00159974,0.0002635726],"domain_scores_gemma":[0.9918274,0.004689282,0.0004563445,0.001467508,0.001408835,0.0001505644],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0009409862,0.0006566458,0.06112511,0.0005705146,0.0001869492,0.004841163,0.002555117,0.2309433,0.03763686,0.1861833,0.003799746,0.4705603],"study_design_scores_gemma":[0.00005717124,0.0006015683,0.02274174,0.0002509779,0.0002339483,0.005335761,0.005271201,0.8213526,0.02684273,0.08650684,0.03060302,0.0002024225],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3868933,0.001595487,0.516634,0.004731741,0.0001964055,0.0002538459,0.0002365732,0.0007311101,0.08872753],"genre_scores_gemma":[0.8533414,0.0004016748,0.1440086,0.00009438863,0.00004240188,0.00003388664,0.00005387738,0.00007842694,0.00194527],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005267309,"threshold_uncertainty_score":0.02745789,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2030212035","doi":"10.1016/j.autcon.2012.12.004","title":"Building Information Modeling (BIM) partnering framework for public construction projects","year":2013,"lang":"en","type":"article","venue":"Automation in Construction","topic":"BIM and Construction Integration","field":"Engineering","cited_by":473,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"University of British Columbia, Okanagan Campus; University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada; Department for Business, Innovation and Skills","keywords":"Building information modeling; Procurement; Rework; Construction industry; Integrated project delivery; Construction management; Productivity; Competition (biology); Pre-construction services; Process management; Project management; Business; Construction engineering; Engineering; Operations management; Project planning; Systems engineering; Marketing; Civil engineering","authors":[{"name":"Atul Porwal","is_ca":true},{"name":"Kasun Hewage","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.02211208014133632,"gpt":0.2411965417618213,"spread":0.219084461620485,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003251548,0.0008465564,0.0009214683,0.002934572,0.001290245,0.003954737,0.002436356,0.00144781,0.004978102],"category_scores_gemma":[0.003172856,0.0005375107,0.001199476,0.004004435,0.000697337,0.003350317,0.00444438,0.001381888,0.001731232],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001542485,"about_ca_system_score_gemma":0.004166812,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01266555,"about_ca_topic_score_gemma":0.01836625,"domain_scores_codex":[0.9975407,0.0007478516,0.0002127762,0.0002254558,0.001024827,0.0002484779],"domain_scores_gemma":[0.9991573,0.0001570167,0.00008506019,0.0002710376,0.0002343519,0.00009514531],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0001123311,0.000325179,0.002830541,0.0004266962,0.0001064132,0.0004742798,0.00140727,0.15994,0.004309314,0.5074927,0.03112186,0.2914533],"study_design_scores_gemma":[0.00004879287,0.00008921927,0.001949709,0.0003858336,0.0001308758,0.0004841205,0.001162845,0.4921691,0.009067044,0.2075015,0.2868883,0.0001227088],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.007859994,0.0002948726,0.9634773,0.0004633305,0.00005136995,0.0002248381,0.001772848,0.007757291,0.01809819],"genre_scores_gemma":[0.2059346,0.0008312642,0.7782825,0.0001523464,0.00002967356,0.0006103922,0.007839849,0.0007904084,0.005528992],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01266555,"threshold_uncertainty_score":0.02518362,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2911311605","doi":"10.1016/j.autcon.2019.01.010","title":"Building information modelling for off-site construction: Review and future directions","year":2019,"lang":"en","type":"article","venue":"Automation in Construction","topic":"BIM and Construction Integration","field":"Engineering","cited_by":410,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Alberta","funders":"","keywords":"Building information modeling; Data science; Computer science; Scopus; Prefabrication; Engineering; Civil engineering","authors":[{"name":"Xianfei Yin","is_ca":true},{"name":"Hexu Liu","is_ca":false},{"name":"Yuan Chen","is_ca":true},{"name":"Mohamed Al‐Hussein","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.005405755476567432,"gpt":0.2094625117056206,"spread":0.2040567562290532,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0034843,0.001595707,0.003255817,0.003952159,0.0003243372,0.003684298,0.004513123,0.002478166,0.003640126],"category_scores_gemma":[0.005796632,0.0009277266,0.001535139,0.007139662,0.001604916,0.005612463,0.001560508,0.001736597,0.002085362],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00136795,"about_ca_system_score_gemma":0.003020545,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005149693,"about_ca_topic_score_gemma":0.004461811,"domain_scores_codex":[0.9985572,0.0004160761,0.000156303,0.000248608,0.00055601,0.00006579307],"domain_scores_gemma":[0.9933514,0.004724562,0.0003659807,0.0003996698,0.001047759,0.0001105989],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00003926333,0.00009305455,0.0008424166,0.01946978,0.0001588617,0.00008673035,0.0001709074,0.01138344,0.0006400095,0.02569725,0.01148376,0.9299345],"study_design_scores_gemma":[0.00002300672,0.0001157084,0.002064864,0.01973912,0.0005420318,0.001095669,0.0005176094,0.02798498,0.002027252,0.04945749,0.8962495,0.00018272],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0008572819,0.9735836,0.02032187,0.001107499,0.000319128,0.00002240308,0.000129751,0.0001332495,0.003525092],"genre_scores_gemma":[0.00839352,0.9760878,0.0138915,0.0002662063,0.000358412,0.00002200668,0.000273837,0.00003359576,0.0006730336],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.005149693,"threshold_uncertainty_score":0.01842695,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2093303892","doi":"10.1016/j.autcon.2013.06.011","title":"Image-based retrieval of concrete crack properties for bridge inspection","year":2013,"lang":"en","type":"article","venue":"Automation in Construction","topic":"Infrastructure Maintenance and Monitoring","field":"Engineering","cited_by":401,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"Concordia University","funders":"Natural Sciences and Engineering Research Council of Canada; Concordia University","keywords":"Visualization; Tortuosity; Bridge (graph theory); Representation (politics); Computer science; Cracking; Artificial neural network; Structural engineering; Structural health monitoring; Artificial intelligence; Computer vision; Engineering; Materials science; Geotechnical engineering","authors":[{"name":"R.S. Adhikari","is_ca":true},{"name":"Osama Moselhi","is_ca":true},{"name":"Ashutosh Bagchi","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01002153999872207,"gpt":0.2130994789372893,"spread":0.2030779389385672,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003099169,0.0005611238,0.0009167315,0.002307324,0.0001840295,0.0006284285,0.0007301595,0.001118546,0.003157584],"category_scores_gemma":[0.001119186,0.0002647788,0.000505726,0.001264747,0.0002199028,0.0008517957,0.0004895232,0.0003955721,0.002270967],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002311978,"about_ca_system_score_gemma":0.0004018992,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00253635,"about_ca_topic_score_gemma":0.004073082,"domain_scores_codex":[0.9997519,0.00002949539,0.00001173906,0.00005292735,0.0001122239,0.00004173781],"domain_scores_gemma":[0.999627,0.00009093653,0.00003682187,0.00007592136,0.0001430998,0.00002624493],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0009781409,0.0002853676,0.002050837,0.0002920168,0.00007761029,0.0002153602,0.00004478005,0.00569917,0.4588619,0.0004034665,0.006757873,0.5243334],"study_design_scores_gemma":[0.0001272277,0.0004663342,0.02382681,0.00005428458,0.0002622126,0.001417577,0.0001226541,0.6490723,0.314765,0.001249811,0.008562538,0.00007324132],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.3277556,0.005349497,0.6513528,0.0003576255,0.0002256387,0.000255728,0.00205442,0.006116996,0.006531822],"genre_scores_gemma":[0.6560887,0.002231872,0.3299718,0.0002147286,0.0002145077,0.0001388933,0.003683167,0.0002892842,0.00716708],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.003157584,"threshold_uncertainty_score":0.01056319,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3033645921","doi":"10.1016/j.autcon.2020.103291","title":"Hybrid pixel-level concrete crack segmentation and quantification across complex backgrounds using deep learning","year":2020,"lang":"en","type":"article","venue":"Automation in Construction","topic":"Infrastructure Maintenance and Monitoring","field":"Engineering","cited_by":395,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Manitoba","funders":"Natural Sciences and Engineering Research Council of Canada; Research Manitoba","keywords":"Pixel; Intersection (aeronautics); Segmentation; Convolutional neural network; Artificial intelligence; Computer science; Algorithm; Bounding overwatch; Computer vision; Pattern recognition (psychology); Engineering","authors":[{"name":"Dong‐Ho Kang","is_ca":true},{"name":"Sukhpreet S. Benipal","is_ca":true},{"name":"Dharshan Lokekere Gopal","is_ca":true},{"name":"Young‐Jin Cha","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.04331559413787201,"gpt":0.2807973856158583,"spread":0.2374817914779863,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003846747,0.0009109309,0.0008764291,0.001456997,0.0003121048,0.001093331,0.001269622,0.001320322,0.002016007],"category_scores_gemma":[0.0007635331,0.0005530608,0.0007889272,0.001000255,0.0004551352,0.00133556,0.001525741,0.001084278,0.0009929962],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005779281,"about_ca_system_score_gemma":0.0009366451,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007709621,"about_ca_topic_score_gemma":0.0174143,"domain_scores_codex":[0.9997118,0.00002067613,0.000009865076,0.0001128353,0.00007817084,0.00006661967],"domain_scores_gemma":[0.9996518,0.00009266186,0.00004342154,0.00006462723,0.0001099193,0.00003771133],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0004267711,0.0003991559,0.005867916,0.0001788747,0.0001713886,0.0001879059,0.0001452549,0.3149495,0.08658944,0.003994914,0.004660883,0.582428],"study_design_scores_gemma":[0.000003577741,0.00001640546,0.001043377,0.000007117163,0.00001149213,0.00002602767,0.00001201402,0.9912971,0.00568962,0.001436504,0.0004499855,0.000006858774],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.08886816,0.0003451424,0.9048719,0.0001964268,0.00004082156,0.00004712939,0.0004151356,0.002790439,0.002424737],"genre_scores_gemma":[0.6427534,0.0003439306,0.3480432,0.0002599967,0.00006141904,0.00006728626,0.001738829,0.0003527667,0.006379126],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.007709621,"threshold_uncertainty_score":0.01532948,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4392611940","doi":"10.1016/j.autcon.2024.105328","title":"Deep learning-based structural health monitoring","year":2024,"lang":"en","type":"article","venue":"Automation in Construction","topic":"Infrastructure Maintenance and Monitoring","field":"Engineering","cited_by":332,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Manitoba","funders":"","keywords":"Structural health monitoring; Deep learning; Computer science; Artificial intelligence; Engineering; Data science; Construction engineering; Structural engineering","authors":[{"name":"Young‐Jin Cha","is_ca":true},{"name":"Rahmat Ali","is_ca":true},{"name":"J. S. Lewis","is_ca":true},{"name":"Oral Büyüköztürk","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.005679921312433956,"gpt":0.2455702572547211,"spread":0.2398903359422872,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005492503,0.0008364051,0.0007637896,0.001005986,0.00013756,0.0007691375,0.001004782,0.0006781818,0.001590148],"category_scores_gemma":[0.001264812,0.0002741205,0.0005438334,0.0008086005,0.0002837516,0.0009519749,0.0007246348,0.0007721224,0.0005380192],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005543713,"about_ca_system_score_gemma":0.0005330535,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00292042,"about_ca_topic_score_gemma":0.003629685,"domain_scores_codex":[0.9997683,0.00003925213,0.00002088027,0.00005822865,0.00008461681,0.00002871226],"domain_scores_gemma":[0.9996833,0.0001336953,0.00004397379,0.0000223487,0.00009925318,0.00001742665],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00008119647,0.0001082372,0.004282362,0.0009013427,0.0001584763,0.0001098069,0.00007915204,0.2517668,0.006854149,0.007609937,0.007628263,0.7204203],"study_design_scores_gemma":[0.000005947587,0.00005808413,0.001783244,0.000141641,0.00004977186,0.00008170485,0.00002728412,0.9788094,0.003965732,0.007324227,0.007734229,0.00001884155],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01700038,0.02180629,0.9515812,0.0008582102,0.000217437,0.00005225474,0.0006846373,0.001278074,0.006521514],"genre_scores_gemma":[0.7206259,0.03733588,0.2234837,0.0009923782,0.0005685894,0.0001943442,0.00270357,0.0001694101,0.01392617],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.00292042,"threshold_uncertainty_score":0.005806923,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2478677992","doi":"10.1016/j.autcon.2016.06.008","title":"Vision-based detection of loosened bolts using the Hough transform and support vector machines","year":2016,"lang":"en","type":"article","venue":"Automation in Construction","topic":"Image and Object Detection Techniques","field":"Computer Science","cited_by":321,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Manitoba","funders":"","keywords":"Hough transform; Artificial intelligence; Support vector machine; Computer vision; Computer science; Classifier (UML); Machine vision; Pattern recognition (psychology); Image (mathematics)","authors":[{"name":"Young‐Jin Cha","is_ca":true},{"name":"Kisung You","is_ca":false},{"name":"Wooram Choi","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.007022474976540436,"gpt":0.2489476999670424,"spread":0.241925224990502,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005098427,0.0007977567,0.001035402,0.002710786,0.0003716167,0.0009936851,0.00131581,0.0008948539,0.001608065],"category_scores_gemma":[0.00179162,0.0005956015,0.0005073649,0.00155713,0.0006555098,0.001213284,0.001166881,0.0008783475,0.0006591785],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005542036,"about_ca_system_score_gemma":0.000537206,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001565588,"about_ca_topic_score_gemma":0.002036312,"domain_scores_codex":[0.9991722,0.00006755992,0.00002623151,0.0001264542,0.0004955257,0.0001121379],"domain_scores_gemma":[0.9986914,0.0002840563,0.0002320966,0.0002153763,0.0004718547,0.0001052334],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0008726538,0.0002237905,0.01183975,0.0002192065,0.0001068191,0.000412568,0.0002527047,0.04882631,0.3034501,0.002262416,0.001898508,0.6296353],"study_design_scores_gemma":[0.00003621835,0.0003090701,0.02295507,0.00003235245,0.00007521734,0.0006928536,0.0001498068,0.8250428,0.1456023,0.002572963,0.002469565,0.00006162506],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1761398,0.0004309164,0.8193826,0.00008417537,0.00006214871,0.00005632172,0.00006831926,0.002460717,0.001315102],"genre_scores_gemma":[0.8235202,0.0002043314,0.174417,0.0000304751,0.00002739725,0.00002953872,0.0001685609,0.0001089259,0.001493483],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002710786,"threshold_uncertainty_score":0.005379558,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2106238010","doi":"10.1016/j.autcon.2005.02.006","title":"Automated detection of cracks in buried concrete pipe images","year":2005,"lang":"en","type":"article","venue":"Automation in Construction","topic":"Infrastructure Maintenance and Monitoring","field":"Engineering","cited_by":282,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Waterloo","funders":"","keywords":"Engineering; Structural engineering; Geology; Geotechnical engineering; Forensic engineering; Computer science; Engineering drawing","authors":[{"name":"Sunil K. Sinha","is_ca":false},{"name":"Paul Fieguth","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.003379130086011609,"gpt":0.2125145381431527,"spread":0.209135408057141,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003111004,0.00034203,0.0004710204,0.001439303,0.0001988228,0.000544116,0.0004518621,0.0006559598,0.001053077],"category_scores_gemma":[0.001156085,0.0002664161,0.0002126234,0.0004380878,0.0002230046,0.0004757325,0.0004428234,0.0003882977,0.0004956212],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001901325,"about_ca_system_score_gemma":0.0003757383,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002030996,"about_ca_topic_score_gemma":0.003880549,"domain_scores_codex":[0.9997107,0.00003500593,0.000009718377,0.00005641458,0.0001425955,0.00004540212],"domain_scores_gemma":[0.9990402,0.0002869796,0.0001117563,0.0001118967,0.0003744841,0.00007473578],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0005564006,0.0001590138,0.009294168,0.0001504482,0.00005103621,0.0002856726,0.000154992,0.01166214,0.5116732,0.000659705,0.003437542,0.4619158],"study_design_scores_gemma":[0.00005332727,0.0002459153,0.07226478,0.00003398239,0.00007508139,0.0009644343,0.0001243619,0.6952032,0.2254225,0.00114779,0.004430254,0.00003438906],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6776161,0.0004860734,0.314816,0.000186234,0.00006734246,0.00008132244,0.0003892132,0.003662858,0.002694874],"genre_scores_gemma":[0.8343467,0.0002504108,0.162197,0.00004373675,0.00004550948,0.00002305682,0.0006569024,0.0001171022,0.002319464],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002030996,"threshold_uncertainty_score":0.004038274,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W1999993274","doi":"10.1016/j.autcon.2007.09.001","title":"Automated retrieval of 3D CAD model objects in construction range images","year":2007,"lang":"en","type":"article","venue":"Automation in Construction","topic":"3D Surveying and Cultural Heritage","field":"Earth and Planetary Sciences","cited_by":277,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Waterloo","funders":"Canada Research Chairs; National Science Foundation","keywords":"CAD; Point cloud; Computer science; Field (mathematics); Context (archaeology); Automation; Computer Aided Design; Artificial intelligence; Computer vision; Engineering drawing; Data mining; Engineering","authors":[{"name":"Frédéric Bosché","is_ca":true},{"name":"Carl T. Haas","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01520135668665187,"gpt":0.2419187992720623,"spread":0.2267174425854104,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002903354,0.000669443,0.0009358551,0.003942444,0.0004563274,0.001542814,0.0007448121,0.0008676415,0.002901269],"category_scores_gemma":[0.001115817,0.0004853193,0.0006194686,0.002319298,0.0003333548,0.0009833243,0.0008555496,0.000320127,0.00264838],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000418057,"about_ca_system_score_gemma":0.0007792309,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005809424,"about_ca_topic_score_gemma":0.007494309,"domain_scores_codex":[0.999468,0.00005240251,0.00002329318,0.00007644601,0.0003120665,0.0000677998],"domain_scores_gemma":[0.9995921,0.00009222417,0.00004319736,0.0001131219,0.0001376866,0.00002167471],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0004319364,0.0001724485,0.004727512,0.0003290031,0.00006749974,0.0003823041,0.0002436215,0.01356392,0.2257109,0.00172035,0.009446196,0.7432044],"study_design_scores_gemma":[0.0001004925,0.0003022435,0.06423622,0.0001072366,0.0002412432,0.002795226,0.0006900962,0.5656822,0.3184335,0.003787076,0.04351095,0.0001135773],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3178372,0.002970672,0.6502595,0.0002907312,0.0001409854,0.0002921275,0.002614344,0.01428412,0.01131024],"genre_scores_gemma":[0.5979128,0.001750713,0.3844447,0.0001269701,0.00008057826,0.0001476199,0.007077448,0.0006218927,0.007837274],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005809424,"threshold_uncertainty_score":0.0115512,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2737163017","doi":"10.1016/j.autcon.2017.06.024","title":"Remote sensing of concrete bridge decks using unmanned aerial vehicle infrared thermography","year":2017,"lang":"en","type":"article","venue":"Automation in Construction","topic":"Infrastructure Maintenance and Monitoring","field":"Engineering","cited_by":256,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Western University","funders":"","keywords":"Thermography; Bridge (graph theory); Delamination (geology); Computer science; Nondestructive testing; Remote sensing; Visual inspection; Process (computing); Hammer; Engineering; Marine engineering; Structural engineering; Artificial intelligence; Infrared; Geology","authors":[{"name":"Tarek Omar","is_ca":true},{"name":"Moncef L. Nehdi","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01342299857372124,"gpt":0.2462672094173049,"spread":0.2328442108435836,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00007093108,0.0001655901,0.000143522,0.0004511298,0.0001472674,0.0002246741,0.0001839527,0.0002180347,0.0003943846],"category_scores_gemma":[0.000118147,0.0000986415,0.0001000919,0.0002882484,0.0001403583,0.0003185627,0.0002041447,0.0001590656,0.0001617249],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001538596,"about_ca_system_score_gemma":0.0001613281,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00349092,"about_ca_topic_score_gemma":0.009581958,"domain_scores_codex":[0.9998965,0.000009836112,0.000002438908,0.00002210488,0.00005302292,0.00001614424],"domain_scores_gemma":[0.9999292,0.00001122257,0.00001559707,0.00000848536,0.00002810422,0.000007333095],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0002549571,0.000212197,0.07007223,0.0001018527,0.00005330545,0.0002009888,0.0003454743,0.02452139,0.7676901,0.0004467856,0.001028664,0.1350721],"study_design_scores_gemma":[0.00004302696,0.0003153149,0.574217,0.00003631851,0.00006885249,0.0003424765,0.0007077871,0.2753654,0.1442288,0.0006443417,0.003983269,0.00004736899],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9903377,0.0001192362,0.00747638,0.00002072831,0.00001294985,0.000007721023,0.0001058139,0.00009578407,0.00182369],"genre_scores_gemma":[0.9956459,0.00004720776,0.003694474,0.000008386653,0.000004789269,0.000003217974,0.00006837441,0.000005359324,0.0005222089],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00349092,"threshold_uncertainty_score":0.006941199,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W1974942783","doi":"10.1016/j.autcon.2008.05.006","title":"Integrating 3D laser scanning and photogrammetry for progress measurement of construction work","year":2008,"lang":"en","type":"article","venue":"Automation in Construction","topic":"3D Surveying and Cultural Heritage","field":"Earth and Planetary Sciences","cited_by":243,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"Concordia University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Photogrammetry; Laser scanning; Data collection; Work (physics); Object (grammar); Computer science; Function (biology); Computer vision; Construction engineering; Engineering; Artificial intelligence; Engineering drawing; Laser; Mechanical engineering; Mathematics; Optics","authors":[{"name":"Samir El‐Omari","is_ca":true},{"name":"Osama Moselhi","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.03074310458734875,"gpt":0.230249217941514,"spread":0.1995061133541652,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001132517,0.0007010738,0.0005774144,0.003695828,0.0005130745,0.001275047,0.00063459,0.0007514979,0.002160187],"category_scores_gemma":[0.002640573,0.0004808352,0.0004951615,0.004600892,0.0004740057,0.001392731,0.001091318,0.0004287439,0.00128124],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005296716,"about_ca_system_score_gemma":0.001297902,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007263902,"about_ca_topic_score_gemma":0.01152151,"domain_scores_codex":[0.9973511,0.0006181314,0.000128543,0.0002822408,0.001506062,0.0001140241],"domain_scores_gemma":[0.9983957,0.0004766896,0.000146642,0.0002935215,0.0006500536,0.0000373702],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.000278286,0.0001524092,0.03633725,0.0003585663,0.00008892883,0.00009771058,0.0005379017,0.02792649,0.1034758,0.003774289,0.001747001,0.8252254],"study_design_scores_gemma":[0.00008810387,0.0006455405,0.2172899,0.0001871218,0.0003811043,0.001086534,0.0009055376,0.5054756,0.2392083,0.0081791,0.02629077,0.0002623604],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1640089,0.0009353074,0.8209564,0.0001347971,0.0001259692,0.0001474232,0.0005501905,0.003390502,0.009750533],"genre_scores_gemma":[0.6905487,0.0006754194,0.3058726,0.0000578404,0.00004393267,0.0001214274,0.0003588431,0.0001546314,0.002166612],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.007263902,"threshold_uncertainty_score":0.01444322,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2905053868","doi":"10.1016/j.autcon.2018.12.006","title":"Deep learning-based automatic volumetric damage quantification using depth camera","year":2018,"lang":"en","type":"article","venue":"Automation in Construction","topic":"Infrastructure Maintenance and Monitoring","field":"Engineering","cited_by":208,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Manitoba","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Network for Research and Innovation in Machining Technology, Natural Sciences and Engineering Research Council of Canada","keywords":"Spall; Convolutional neural network; Computer science; Artificial intelligence; Pixel; Scanner; Volume (thermodynamics); Deep learning; Computer vision; Pattern recognition (psychology); Structural engineering; Engineering; Physics","authors":[{"name":"Gustavo H. Beckman","is_ca":true},{"name":"Dimos Polyzois","is_ca":true},{"name":"Young‐Jin Cha","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01162063859261269,"gpt":0.2456796234227854,"spread":0.2340589848301727,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002852556,0.001005402,0.0008126124,0.001461299,0.0001769232,0.0006881623,0.001105298,0.0007178371,0.001542616],"category_scores_gemma":[0.0006703275,0.000588157,0.0006979463,0.001011489,0.0003075026,0.001061366,0.001021681,0.0009252773,0.0007410099],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005997079,"about_ca_system_score_gemma":0.0007265706,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005953727,"about_ca_topic_score_gemma":0.01003216,"domain_scores_codex":[0.9996696,0.00002419599,0.0000129462,0.00009052618,0.0001290194,0.0000736774],"domain_scores_gemma":[0.9996871,0.00006552068,0.00006783671,0.00004840933,0.0001082965,0.00002288929],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001526624,0.0002007843,0.003378792,0.0001742725,0.00009375785,0.00008576743,0.00006061879,0.2232448,0.0533033,0.002219623,0.004642714,0.7124429],"study_design_scores_gemma":[0.000002984822,0.00002452978,0.001438136,0.00001162907,0.00001191095,0.00004188441,0.000008828667,0.9884035,0.008259699,0.001165626,0.0006233071,0.000008035435],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04780543,0.0006314192,0.9465101,0.0001172652,0.00005676983,0.00005179942,0.0004368773,0.002566726,0.001823643],"genre_scores_gemma":[0.7229003,0.0007702954,0.2702298,0.0001675891,0.00005971328,0.000078418,0.001198106,0.0001676023,0.004428186],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005953727,"threshold_uncertainty_score":0.01183814,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3026393200","doi":"10.1016/j.autcon.2020.103250","title":"LiDAR-equipped UAV path planning considering potential locations of defects for bridge inspection","year":2020,"lang":"en","type":"article","venue":"Automation in Construction","topic":"Infrastructure Maintenance and Monitoring","field":"Engineering","cited_by":207,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"Concordia University","funders":"Concordia University","keywords":"Visibility; Lidar; Bridge (graph theory); Computer science; Path (computing); Motion planning; Viewpoints; Ranging; Sampling (signal processing); Real-time computing; Genetic algorithm; Computer vision; Artificial intelligence; Simulation; Remote sensing; Robot; Machine learning","authors":[{"name":"Neshat Bolourian","is_ca":true},{"name":"Amin Hammad","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01447947265697696,"gpt":0.2364202046838427,"spread":0.2219407320268657,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002791292,0.0005124457,0.0004601502,0.0005169959,0.0002828049,0.0004924616,0.0006591,0.0006881419,0.001050516],"category_scores_gemma":[0.001114232,0.0005020627,0.0005141032,0.0005290313,0.0002272881,0.0006170706,0.0005637062,0.0003668906,0.0001861704],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002917178,"about_ca_system_score_gemma":0.00111253,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008062076,"about_ca_topic_score_gemma":0.01102578,"domain_scores_codex":[0.9998485,0.00003296854,0.000005519252,0.00003621065,0.00004005613,0.00003679345],"domain_scores_gemma":[0.9997762,0.00008839896,0.00003180111,0.00002061019,0.00006080162,0.00002225279],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001111584,0.00005270024,0.003075887,0.0001008116,0.0000313825,0.0004242494,0.00009852841,0.922839,0.006360739,0.001669736,0.001230029,0.06400588],"study_design_scores_gemma":[0.000004744923,0.00003377219,0.0005860432,0.000005192506,0.00000723733,0.00003570332,0.00003136701,0.9978612,0.0006370243,0.0006109431,0.0001832799,0.000003512085],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2444589,0.0005792761,0.7500628,0.0001935368,0.00007019211,0.00008527691,0.0003310956,0.0005392132,0.003679796],"genre_scores_gemma":[0.9176586,0.0001728001,0.08102622,0.00002195108,0.00001021813,0.00004294462,0.0002108601,0.00002391368,0.0008325615],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.008062076,"threshold_uncertainty_score":0.01603025,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2752201218","doi":"10.1016/j.autcon.2017.08.006","title":"Developing owner information requirements for BIM-enabled project delivery and asset management","year":2017,"lang":"en","type":"article","venue":"Automation in Construction","topic":"BIM and Construction Integration","field":"Engineering","cited_by":199,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of British Columbia","funders":"","keywords":"Building information modeling; Process management; Documentation; Requirements analysis; Asset (computer security); Interoperability; Process (computing); Asset management; Requirements management; Facility management; Integrated project delivery; Usability; Knowledge management; Requirements elicitation; Information model; Systems engineering; Engineering management; Computer science; Project management; Engineering; Business; Software engineering; Operations management; Software","authors":[{"name":"Hasan Burak Çavka","is_ca":true},{"name":"Sheryl Staub‐French","is_ca":true},{"name":"Érik Poirier","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.0240650905787071,"gpt":0.2669994118936201,"spread":0.242934321314913,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.007738679,0.0008369476,0.0006687195,0.002565373,0.0007100327,0.002757139,0.001717452,0.001480247,0.004586366],"category_scores_gemma":[0.03459995,0.001125722,0.0009477237,0.001337165,0.0006815159,0.004269347,0.00230222,0.001256477,0.001661794],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001499432,"about_ca_system_score_gemma":0.003249664,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005696543,"about_ca_topic_score_gemma":0.007865431,"domain_scores_codex":[0.9875493,0.003836522,0.0009107708,0.0004580921,0.006451308,0.0007940275],"domain_scores_gemma":[0.9796052,0.01057605,0.001362797,0.002024925,0.006136716,0.000294388],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"qualitative","study_design_scores_codex":[0.0003806192,0.0008941622,0.0156729,0.001175518,0.00009878979,0.001996333,0.003581644,0.3577255,0.05660558,0.244358,0.0182097,0.2993012],"study_design_scores_gemma":[0.00003013417,0.0001392612,0.003681575,0.000278906,0.00005439775,0.0004863354,0.001269329,0.9039871,0.04195458,0.01920083,0.02885691,0.00006058567],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.07676319,0.0001080626,0.8891988,0.0006074451,0.00004029386,0.0007498318,0.0008989876,0.001504727,0.03012865],"genre_scores_gemma":[0.5427812,0.0001944927,0.4481018,0.0001089886,0.00001833733,0.0007199873,0.002947779,0.00061057,0.004516861],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.007738679,"threshold_uncertainty_score":0.04092652,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2994999390","doi":"10.1016/j.autcon.2019.103045","title":"Automated excavators activity recognition and productivity analysis from construction site surveillance videos","year":2019,"lang":"en","type":"article","venue":"Automation in Construction","topic":"Occupational Health and Safety Research","field":"Health Professions","cited_by":191,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"Concordia University","funders":"Mitacs","keywords":"Excavator; Productivity; Schedule; Activity recognition; Track (disk drive); Computer science; Engineering; Artificial intelligence; Civil engineering","authors":[{"name":"Chen Chen","is_ca":true},{"name":"Zhenhua Zhu","is_ca":false},{"name":"Amin Hammad","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.04385660045913507,"gpt":0.3887072293241019,"spread":0.3448506288649668,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002223523,0.000442053,0.0003766899,0.002729328,0.0001467104,0.0004887543,0.0003882591,0.0005178117,0.00135171],"category_scores_gemma":[0.0007299341,0.0001642108,0.0002925564,0.001173605,0.0001188811,0.0003323279,0.0003871549,0.0002448222,0.0009715067],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000146912,"about_ca_system_score_gemma":0.0003058358,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00330529,"about_ca_topic_score_gemma":0.005342376,"domain_scores_codex":[0.999724,0.00002051436,0.00001098394,0.00007643118,0.0001116107,0.0000564439],"domain_scores_gemma":[0.9996206,0.00009016153,0.00006468478,0.0000304432,0.0001574616,0.00003670033],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0005664204,0.0002929872,0.03357012,0.0003496897,0.00006569194,0.0005487661,0.0002451969,0.006211824,0.195454,0.0003648782,0.005651451,0.7566789],"study_design_scores_gemma":[0.00005475289,0.0003739667,0.5164036,0.0001242901,0.0001305489,0.001383574,0.0008958134,0.3846544,0.0858814,0.0007684639,0.009261346,0.00006792541],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.799428,0.001002646,0.1861383,0.0001570811,0.0001162626,0.0002023271,0.004485252,0.002213327,0.006256849],"genre_scores_gemma":[0.9176907,0.0006554478,0.07246972,0.00004481065,0.00009386863,0.0001049751,0.004426991,0.00008214083,0.004431318],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00330529,"threshold_uncertainty_score":0.006572068,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2913697492","doi":"10.1016/j.autcon.2019.01.017","title":"Sewer damage detection from imbalanced CCTV inspection data using deep convolutional neural networks with hierarchical classification","year":2019,"lang":"en","type":"article","venue":"Automation in Construction","topic":"Infrastructure Maintenance and Monitoring","field":"Engineering","cited_by":175,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Alberta","funders":"Fundamental Research Funds for the Central Universities","keywords":"Convolutional neural network; Artificial intelligence; Computer science; Deep learning; Process (computing); Offset (computer science); Pattern recognition (psychology); Contextual image classification; Machine learning; Artificial neural network; Image (mathematics)","authors":[{"name":"Duanshun Li","is_ca":true},{"name":"Anran Cong","is_ca":true},{"name":"Shuai Guo","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.0116575526586173,"gpt":0.2227223710027695,"spread":0.2110648183441522,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002702415,0.0009078818,0.0006696316,0.00143079,0.0002528216,0.0004541568,0.0007129978,0.0006532553,0.001012029],"category_scores_gemma":[0.0007711242,0.0002997246,0.0006101229,0.001028131,0.0002054652,0.0005953912,0.0008365975,0.0008423846,0.0006559666],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006176208,"about_ca_system_score_gemma":0.0007271002,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02401417,"about_ca_topic_score_gemma":0.04115853,"domain_scores_codex":[0.9997097,0.00002263608,0.0000113567,0.00009035387,0.00006937039,0.00009666221],"domain_scores_gemma":[0.999668,0.00007345348,0.00005122494,0.00005745653,0.0001219189,0.00002796264],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001030725,0.001130258,0.08231793,0.0002217762,0.00031036,0.0005809137,0.0001651373,0.226129,0.04121847,0.001193086,0.0240118,0.6216906],"study_design_scores_gemma":[0.000008904249,0.0000400505,0.01605536,0.00001259075,0.00002916007,0.00003329384,0.00003655278,0.978458,0.003976371,0.0006055082,0.0007339295,0.0000102422],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8153595,0.00134673,0.1677591,0.0005909813,0.0002855288,0.0001018979,0.005563519,0.004449412,0.004543346],"genre_scores_gemma":[0.9721597,0.0001785073,0.01886128,0.00008368208,0.0000637483,0.00003646238,0.005709769,0.00005448284,0.002852271],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02401417,"threshold_uncertainty_score":0.0477488,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3132686745","doi":"10.1016/j.autcon.2021.103578","title":"Expertise-based bid evaluation for construction-contractor selection with generalized comparative linguistic ELECTRE III","year":2021,"lang":"en","type":"article","venue":"Automation in Construction","topic":"Multi-Criteria Decision Making","field":"Decision Sciences","cited_by":152,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Alberta","funders":"National Natural Science Foundation of China","keywords":"ELECTRE; Selection (genetic algorithm); Process (computing); Fuzzy logic; Operations research; Computer science; Management science; Artificial intelligence; Mathematics; Multiple-criteria decision analysis; Engineering","authors":[{"name":"Zhen‐Song Chen","is_ca":false},{"name":"Xuan Zhang","is_ca":false},{"name":"Rosa M. Rodríguez","is_ca":false},{"name":"Witold Pedrycz","is_ca":true},{"name":"Luis Martı́nez","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.1719052379239028,"gpt":0.4475848583406495,"spread":0.2756796204167467,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006871398,0.0008374645,0.001866724,0.004534052,0.001012833,0.001966654,0.001440946,0.001257208,0.004192766],"category_scores_gemma":[0.0171186,0.0003902309,0.0009578171,0.002242235,0.0009123316,0.001941727,0.001918018,0.0006914233,0.0003117619],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001614467,"about_ca_system_score_gemma":0.001701738,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006345466,"about_ca_topic_score_gemma":0.00445407,"domain_scores_codex":[0.9957294,0.00233248,0.0002036571,0.0004498141,0.0009491213,0.0003354393],"domain_scores_gemma":[0.992845,0.004969954,0.0002314136,0.0003012077,0.001421144,0.0002313749],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00127545,0.0005341707,0.008619612,0.0004442462,0.0003694226,0.0004435261,0.0005868033,0.6101077,0.004104276,0.03628388,0.004375005,0.332856],"study_design_scores_gemma":[0.00002128765,0.00006394228,0.0009006422,0.00001279092,0.00002749274,0.00003168293,0.00006130472,0.992964,0.0003992593,0.00523734,0.0002655219,0.00001467124],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1390201,0.0003606323,0.8518057,0.0003019455,0.00005517036,0.0002955977,0.0001538425,0.0003493975,0.007657595],"genre_scores_gemma":[0.9075651,0.00007091146,0.0902549,0.00004914227,0.00003181344,0.000154354,0.0001938324,0.00002902603,0.001650907],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006871398,"threshold_uncertainty_score":0.03633988,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2028343055","doi":"10.1016/j.autcon.2009.03.004","title":"Developing a knowledge management system for improved value engineering practices in the construction industry","year":2009,"lang":"en","type":"article","venue":"Automation in Construction","topic":"Value Engineering and Management","field":"Business, Management and Accounting","cited_by":140,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Alberta","funders":"","keywords":"Creativity; Schema (genetic algorithms); Scope (computer science); Knowledge management; Engineering; Sample (material); Process (computing); Domain (mathematical analysis); Computer science; Mathematics; Psychology","authors":[{"name":"Xueqing Zhang","is_ca":false},{"name":"Xiaoming Mao","is_ca":true},{"name":"Simaan AbouRizk","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.02099009425758359,"gpt":0.2576317765925646,"spread":0.236641682334981,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0034417,0.0003853086,0.0004416864,0.002587726,0.001217217,0.003610842,0.001321942,0.001461752,0.002989167],"category_scores_gemma":[0.008108931,0.0003959783,0.0004066801,0.001988106,0.0004787977,0.004411368,0.001909026,0.001029917,0.001122788],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001493974,"about_ca_system_score_gemma":0.002909163,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007059806,"about_ca_topic_score_gemma":0.005579618,"domain_scores_codex":[0.998682,0.0002972508,0.0002368855,0.0002799724,0.0004027882,0.0001011497],"domain_scores_gemma":[0.9948774,0.002139974,0.0004280087,0.0008813725,0.001378648,0.0002946569],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0005814692,0.002082197,0.02089039,0.0003252358,0.0001356178,0.000770374,0.003400304,0.01290204,0.03110934,0.01381799,0.02072092,0.8932641],"study_design_scores_gemma":[0.0006607726,0.001052665,0.04028374,0.0004862423,0.0008370555,0.00123509,0.002779427,0.6317732,0.162954,0.02389254,0.1336124,0.0004328793],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.2559221,0.000249241,0.6699078,0.002274517,0.000191462,0.001446509,0.000898922,0.04871483,0.02039462],"genre_scores_gemma":[0.4996684,0.0002258072,0.4884934,0.0003926652,0.00006930139,0.0005235311,0.002181441,0.0005568104,0.007888629],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.007059806,"threshold_uncertainty_score":0.01820171,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2942829360","doi":"10.1016/j.autcon.2019.04.002","title":"Development and implementation of automated fault detection and diagnostics for building systems: A review","year":2019,"lang":"en","type":"review","venue":"Automation in Construction","topic":"Fault Detection and Control Systems","field":"Engineering","cited_by":139,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"Carleton University; National Research Council Canada","funders":"National Research Council Canada; Natural Sciences and Engineering Research Council of Canada","keywords":"Benchmarking; Workflow; Interoperability; Computer science; Systems engineering; Fault detection and isolation; Fault (geology); Scalability; Software engineering; Data science; Engineering; Risk analysis (engineering); Artificial intelligence; Database","authors":[{"name":"Zixiao Shi","is_ca":true},{"name":"William O’Brien","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.02131998924600999,"gpt":0.3187572333933575,"spread":0.2974372441473476,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00195841,0.001416094,0.002064652,0.003810072,0.000276184,0.001538303,0.002021911,0.001756053,0.003160321],"category_scores_gemma":[0.002942417,0.0006351301,0.001137994,0.003777037,0.0006101572,0.002054707,0.0009178004,0.001299598,0.001248527],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008374418,"about_ca_system_score_gemma":0.002802588,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002786445,"about_ca_topic_score_gemma":0.00317165,"domain_scores_codex":[0.9991944,0.0001108827,0.0001461989,0.0001628077,0.000332244,0.00005354165],"domain_scores_gemma":[0.9970481,0.001730021,0.0004248255,0.00009533088,0.0006261627,0.00007568377],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00005856029,0.0001297808,0.0002713902,0.04232159,0.0001402037,0.00008335178,0.00005445473,0.001162706,0.002096893,0.003587559,0.008731419,0.9413621],"study_design_scores_gemma":[0.000042471,0.0005578286,0.002176517,0.01958379,0.0008502346,0.001035231,0.0001540298,0.0009185695,0.003463659,0.003449536,0.967683,0.00008510989],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0001743123,0.9983448,0.0006526949,0.0001173758,0.00009998453,0.00001181692,0.00002728523,0.00001042404,0.0005613394],"genre_scores_gemma":[0.0009504077,0.9975432,0.0009921049,0.0001294523,0.00009956944,0.000009047757,0.00004141755,0.000002598756,0.0002322932],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.003810072,"threshold_uncertainty_score":0.01057237,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2899639285","doi":"10.1016/j.autcon.2018.10.020","title":"Data analytics to improve building performance: A critical review","year":2018,"lang":"en","type":"review","venue":"Automation in Construction","topic":"Building Energy and Comfort Optimization","field":"Engineering","cited_by":134,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"National Research Council Canada; Carleton University","funders":"National Research Council Canada; Natural Sciences and Engineering Research Council of Canada","keywords":"Analytics; Data science; Computer science; Stakeholder; Building automation; Big data; Data analysis; Automation; Work (physics); Process (computing); Data management; Process management; Engineering; Database; Data mining","authors":[{"name":"H. Burak Gunay","is_ca":true},{"name":"Weiming Shen","is_ca":true},{"name":"Guy R. Newsham","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.06213737654017069,"gpt":0.3378234446033797,"spread":0.275686068063209,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004422882,0.001476706,0.002515501,0.00529418,0.0004828776,0.003191778,0.001756929,0.001958801,0.004806866],"category_scores_gemma":[0.01301742,0.0006394669,0.00161478,0.006478236,0.001098968,0.004064864,0.001600608,0.002243826,0.001243363],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001259398,"about_ca_system_score_gemma":0.005940861,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002817529,"about_ca_topic_score_gemma":0.004829958,"domain_scores_codex":[0.9984589,0.0003488225,0.0002984095,0.0002661622,0.0005379799,0.00008975469],"domain_scores_gemma":[0.9873801,0.00907602,0.0008588931,0.0002478994,0.002209166,0.0002278891],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001108977,0.0001271239,0.0007183918,0.08905033,0.0005349756,0.0001102803,0.0001515612,0.0007610726,0.0006846632,0.00854208,0.0369635,0.8622451],"study_design_scores_gemma":[0.00005614886,0.0001963735,0.001746827,0.07413247,0.001733383,0.0004305748,0.000307145,0.000606898,0.0009012892,0.008238643,0.9115435,0.0001066717],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.00008186217,0.9984347,0.0002925891,0.0005316176,0.0002245293,0.00001199117,0.00004716037,0.00000656337,0.0003689334],"genre_scores_gemma":[0.0009451112,0.9975181,0.0006053839,0.0004784911,0.0002648323,0.00001680841,0.00005138456,0.000003792191,0.0001161896],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.00529418,"threshold_uncertainty_score":0.02339077,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2005506411","doi":"10.1016/j.autcon.2011.04.007","title":"Simulating the impacts of policy scenarios on the sustainability performance of infrastructure projects","year":2011,"lang":"en","type":"article","venue":"Automation in Construction","topic":"Fiscal Policy and Economic Growth","field":"Economics, Econometrics and Finance","cited_by":134,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Sustainability; Work (physics); Transportation infrastructure; Sustainable development; Commission; Transport engineering; Performance indicator; Engineering; Environmental resource management; Environmental economics; Business; Environmental planning; Environmental science; Economics","authors":[{"name":"Hong Yao","is_ca":false},{"name":"Liyin Shen","is_ca":false},{"name":"Yongtao Tan","is_ca":false},{"name":"Jianli Hao","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.02617692659712794,"gpt":0.2314796659418591,"spread":0.2053027393447311,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002040721,0.0008121294,0.0007165918,0.0008019281,0.0006097453,0.001621738,0.001272173,0.00314364,0.004914687],"category_scores_gemma":[0.007633709,0.0006807568,0.001201769,0.001473888,0.00113616,0.001501068,0.0008456547,0.002173259,0.0002397593],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003899898,"about_ca_system_score_gemma":0.002391279,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05856381,"about_ca_topic_score_gemma":0.04063396,"domain_scores_codex":[0.9991719,0.0004280283,0.00003882714,0.0000832254,0.00004482324,0.0002333491],"domain_scores_gemma":[0.9940001,0.004316847,0.0005474722,0.0002353117,0.0003282683,0.0005720734],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001720986,0.0001336079,0.002899525,0.00001211716,0.00002308708,0.00004484087,0.00002325639,0.9935376,0.0001632924,0.002093595,0.000221338,0.0006756138],"study_design_scores_gemma":[0.0001470485,0.0001578714,0.00242139,0.000006783177,0.00002940813,0.000007710566,0.0001343085,0.9938136,0.0003020066,0.002699576,0.0002628349,0.00001752957],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9927768,0.0000563076,0.001526389,0.0005360809,0.00003195083,0.00003104132,0.0004723655,0.0000404608,0.004528557],"genre_scores_gemma":[0.998888,0.00004200394,0.0004782187,0.0000232794,0.000004315505,0.00001675783,0.000142682,0.000005637758,0.0003992548],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05856381,"threshold_uncertainty_score":0.1164458,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W1042486207","doi":"10.1016/j.autcon.2015.07.002","title":"Measuring the impact of BIM on labor productivity in a small specialty contracting enterprise through action-research","year":2015,"lang":"en","type":"article","venue":"Automation in Construction","topic":"BIM and Construction Integration","field":"Engineering","cited_by":132,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of British Columbia; École de Technologie Supérieure","funders":"","keywords":"Productivity; Prefabrication; Process (computing); Action research; Engineering; Business; Process management; Industrial organization; Operations management; Computer science; Economics; Civil engineering; Management; Economic growth","authors":[{"name":"Érik Poirier","is_ca":true},{"name":"Sheryl Staub‐French","is_ca":true},{"name":"Daniel Forgues","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.1052956615077434,"gpt":0.341895599603656,"spread":0.2365999380959126,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00362348,0.0003505639,0.0002302438,0.001054863,0.001608427,0.001431269,0.0006312786,0.0005215916,0.002205006],"category_scores_gemma":[0.009841791,0.0001878868,0.0002261386,0.001340423,0.0008034115,0.0008022422,0.001220406,0.0004761154,0.0003188496],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002159912,"about_ca_system_score_gemma":0.003780949,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01844957,"about_ca_topic_score_gemma":0.03202852,"domain_scores_codex":[0.996876,0.001750816,0.000114618,0.0002301407,0.0006455983,0.0003828153],"domain_scores_gemma":[0.9897641,0.006606202,0.0007684512,0.000638993,0.001478558,0.0007436983],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"qualitative","study_design_scores_codex":[0.002476841,0.00515154,0.7194247,0.0001867273,0.0001128471,0.0009942554,0.02112702,0.01738825,0.0137813,0.005553061,0.001458993,0.2123446],"study_design_scores_gemma":[0.00009961192,0.003924734,0.880361,0.00006608675,0.0001144451,0.0002536659,0.04239718,0.05769297,0.007670345,0.003188207,0.00416407,0.00006761093],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9966725,0.000008132116,0.0006761529,0.00006091577,0.000001945778,0.00002119787,0.00004609262,0.00001079272,0.002502282],"genre_scores_gemma":[0.9970203,0.00001623798,0.002238126,0.00001102108,0.000001333154,0.00002033322,0.00004890762,0.000002989214,0.0006407577],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01844957,"threshold_uncertainty_score":0.03668439,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2674352656","doi":"10.1016/j.autcon.2017.06.008","title":"Machine vision-based model for spalling detection and quantification in subway networks","year":2017,"lang":"en","type":"article","venue":"Automation in Construction","topic":"Infrastructure Maintenance and Monitoring","field":"Engineering","cited_by":131,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"Concordia University","funders":"Natural Sciences and Engineering Research Council of Canada; Concordia University","keywords":"Spall; Artificial intelligence; Computer science; Machine vision; Algorithm; Image processing; Machine learning; Engineering; Computer vision; Image (mathematics); Structural engineering","authors":[{"name":"Thikra Dawood","is_ca":true},{"name":"Zhenhua Zhu","is_ca":true},{"name":"Tarek Zayed","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.0106491069224853,"gpt":0.2508803314358804,"spread":0.2402312245133951,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004036054,0.0005654004,0.0009263915,0.0006978635,0.0003347605,0.0008448899,0.001333233,0.001171248,0.001408334],"category_scores_gemma":[0.000836327,0.0003414166,0.0006692886,0.0005920919,0.0004508299,0.0008642573,0.0003924415,0.0007594512,0.000449202],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001230102,"about_ca_system_score_gemma":0.001063156,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0264419,"about_ca_topic_score_gemma":0.01673037,"domain_scores_codex":[0.9997575,0.00003126918,0.00001181705,0.00009287514,0.00005258016,0.00005398442],"domain_scores_gemma":[0.9997051,0.00009393643,0.00004407812,0.00002335722,0.0001161741,0.00001726797],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00006162434,0.00005634817,0.001024085,0.00003386691,0.00002483467,0.00003983117,0.00002090288,0.9575757,0.003089817,0.001896489,0.000619835,0.03555679],"study_design_scores_gemma":[6.511076e-7,0.00000419287,0.0001423758,9.144703e-7,0.000002041749,0.000002860385,9.742017e-7,0.9993687,0.0001742595,0.0002546274,0.00004674387,0.00000155575],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0997777,0.0005376318,0.8950505,0.0002486246,0.00007783158,0.00004799585,0.000271972,0.001044818,0.002942874],"genre_scores_gemma":[0.9687778,0.0002622333,0.02633745,0.0000692547,0.00003285699,0.00008842618,0.0002753983,0.00003383719,0.004122633],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0264419,"threshold_uncertainty_score":0.05257601,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2097221445","doi":"10.1016/j.autcon.2005.02.007","title":"Segmentation of buried concrete pipe images","year":2005,"lang":"en","type":"article","venue":"Automation in Construction","topic":"Infrastructure Maintenance and Monitoring","field":"Engineering","cited_by":125,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Waterloo","funders":"","keywords":"Piping; Pipeline transport; Pipeline (software); Segmentation; Engineering; Canalisation; Nominal Pipe Size; Trenchless technology; Image segmentation; Image processing; Computer science; Civil engineering; Structural engineering; Image (mathematics); Artificial intelligence; Mechanical engineering","authors":[{"name":"Sunil K. Sinha","is_ca":false},{"name":"Paul Fieguth","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.003780278290669983,"gpt":0.2133111761124862,"spread":0.2095308978218162,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002375533,0.0004770642,0.0003639013,0.001864184,0.0002804333,0.000840241,0.0003330685,0.0006671615,0.002716813],"category_scores_gemma":[0.0006917135,0.0003944825,0.000310588,0.001042392,0.0002871408,0.0004817239,0.0003642005,0.0004619776,0.0009556076],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003222988,"about_ca_system_score_gemma":0.0006328877,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003991095,"about_ca_topic_score_gemma":0.005351887,"domain_scores_codex":[0.9998192,0.00001686403,0.0000082864,0.00003882811,0.00006679868,0.0000500317],"domain_scores_gemma":[0.9996307,0.00009428438,0.00004119553,0.000054719,0.000136241,0.00004289364],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0006781059,0.0001035309,0.003168661,0.0002494669,0.00004484466,0.000538783,0.0003131604,0.02046238,0.5812615,0.002006381,0.004737977,0.3864353],"study_design_scores_gemma":[0.00005335227,0.0002316856,0.06436821,0.00009875387,0.00009719939,0.001731448,0.0003944474,0.531492,0.3781839,0.003603072,0.01967925,0.00006672819],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.4866842,0.0009370632,0.4977211,0.0003143708,0.00008678016,0.0001673437,0.001174954,0.004059434,0.008854671],"genre_scores_gemma":[0.688225,0.0007764128,0.2994979,0.00006462969,0.00006444049,0.00004949115,0.002531152,0.0006506333,0.008140374],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.003991095,"threshold_uncertainty_score":0.009088635,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2782344141","doi":"10.1016/j.autcon.2017.12.029","title":"6D DBSCAN-based segmentation of building point clouds for planar object classification","year":2018,"lang":"en","type":"article","venue":"Automation in Construction","topic":"3D Surveying and Cultural Heritage","field":"Earth and Planetary Sciences","cited_by":124,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Waterloo","funders":"National Science Foundation","keywords":"Point cloud; DBSCAN; Computer science; Artificial intelligence; Segmentation; Cluster analysis; Pattern recognition (psychology); Planar; Classifier (UML); Computer vision; Fuzzy clustering; Computer graphics (images)","authors":[{"name":"Thomas Czerniawski","is_ca":false},{"name":"Bharathwaj Sankaran","is_ca":false},{"name":"Mohammad Nahangi","is_ca":true},{"name":"Carl T. Haas","is_ca":true},{"name":"Fernanda Leite","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.02855088496677391,"gpt":0.268375190114011,"spread":0.2398243051472371,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003213149,0.0009475332,0.001160788,0.004030402,0.0006648996,0.001697677,0.001872176,0.0009030965,0.00648952],"category_scores_gemma":[0.0009150426,0.0007867054,0.001191705,0.004819764,0.0004929714,0.0009196448,0.001499663,0.0009497554,0.003370807],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007901125,"about_ca_system_score_gemma":0.002140574,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02190842,"about_ca_topic_score_gemma":0.03469095,"domain_scores_codex":[0.9990766,0.00005054813,0.00005388862,0.0001642894,0.0005154129,0.0001392159],"domain_scores_gemma":[0.9995528,0.00004625246,0.00003310556,0.00009563893,0.0002425049,0.00002973237],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0003025578,0.0001842136,0.00282545,0.0002686228,0.0001472096,0.0001037115,0.000220791,0.04656705,0.06041067,0.004404628,0.008721947,0.8758431],"study_design_scores_gemma":[0.00002544555,0.0000665654,0.006135811,0.00004001856,0.00007349352,0.0002937925,0.0001812964,0.907492,0.06946727,0.003793656,0.01236715,0.0000634258],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04555103,0.0004728507,0.9353901,0.0001413356,0.0000937501,0.0001684969,0.002051261,0.01091214,0.005218943],"genre_scores_gemma":[0.213943,0.0005522741,0.7744921,0.0000816907,0.00004005776,0.0001539878,0.006640675,0.0005771297,0.003519109],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02190842,"threshold_uncertainty_score":0.04356176,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2886047522","doi":"10.1016/j.autcon.2018.06.015","title":"Feasibility study for drone-based masonry construction of real-scale structures","year":2018,"lang":"en","type":"article","venue":"Automation in Construction","topic":"Innovations in Concrete and Construction Materials","field":"Engineering","cited_by":122,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"","funders":"Institut national de la recherche scientifique","keywords":"Drone; Masonry; Architectural engineering; Field (mathematics); Scale (ratio); Profitability index; Construction engineering; Computer science; Engineering; Quality (philosophy); Risk analysis (engineering); Systems engineering; Civil engineering; Business","authors":[{"name":"Sébastien Goessens","is_ca":false},{"name":"Caitlin Mueller","is_ca":false},{"name":"Pierre Latteur","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01889454098198898,"gpt":0.2822308544300502,"spread":0.2633363134480612,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007545048,0.0003600514,0.0002855422,0.0003935141,0.0006079389,0.0005068673,0.0008216513,0.0008471572,0.004525541],"category_scores_gemma":[0.00114917,0.0002063703,0.0003642161,0.0002026105,0.0003913838,0.0007126385,0.0004682768,0.0003394584,0.0005554805],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003156138,"about_ca_system_score_gemma":0.0009190623,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002594728,"about_ca_topic_score_gemma":0.004533413,"domain_scores_codex":[0.9995344,0.000139762,0.00001678604,0.00007366406,0.0001716466,0.00006378085],"domain_scores_gemma":[0.9989956,0.0003302883,0.00004925927,0.0001598686,0.0003276483,0.0001373644],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00421475,0.004777323,0.05983571,0.00142953,0.0001190199,0.006374774,0.003333228,0.09842853,0.7021936,0.008341212,0.002942366,0.1080099],"study_design_scores_gemma":[0.001209706,0.02441944,0.1363069,0.0002037794,0.0003426282,0.003225116,0.01164948,0.4859635,0.3051469,0.003220139,0.02808768,0.0002248164],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9694008,0.0000526402,0.02524853,0.00007860335,0.00003124964,0.0002183095,0.0001249233,0.0001014974,0.004743502],"genre_scores_gemma":[0.987956,0.00004135762,0.01060953,0.000009856298,0.000003467659,0.00005829901,0.00006941617,0.000006748446,0.001245395],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004525541,"threshold_uncertainty_score":0.01513946,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3112944626","doi":"10.1016/j.autcon.2020.103516","title":"Review of image-based analysis and applications in construction","year":2020,"lang":"en","type":"article","venue":"Automation in Construction","topic":"Infrastructure Maintenance and Monitoring","field":"Engineering","cited_by":112,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Waterloo","funders":"","keywords":"Construction engineering; Computer science; Risk analysis (engineering); Visualization; Sustainability; Resilience (materials science); Data science; Sizing; Systems engineering; Engineering; Artificial intelligence; Business","authors":[{"name":"Kareem Mostafa","is_ca":true},{"name":"Tarek Hegazy","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.004901278774654697,"gpt":0.2228674154568282,"spread":0.2179661366821735,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002196225,0.001079001,0.001421425,0.005958428,0.0003672003,0.002586679,0.001786075,0.001936673,0.005402617],"category_scores_gemma":[0.004644647,0.0006303991,0.001035725,0.008351382,0.001051161,0.00223726,0.0009545825,0.0009394613,0.003061467],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008209098,"about_ca_system_score_gemma":0.001659702,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003756837,"about_ca_topic_score_gemma":0.003505393,"domain_scores_codex":[0.9987351,0.0002075657,0.0001394643,0.0002497291,0.0006011401,0.00006704396],"domain_scores_gemma":[0.9962393,0.002025704,0.0002439996,0.0001514686,0.001239242,0.0001001753],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000100772,0.0000677594,0.0007604454,0.01058868,0.0001179369,0.0001323151,0.00008245001,0.001118678,0.004973244,0.004839019,0.02355414,0.9536645],"study_design_scores_gemma":[0.00002607498,0.0002158953,0.006030336,0.006007553,0.0004604484,0.002244577,0.0002762138,0.006409309,0.008752408,0.007868349,0.9615337,0.0001751224],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.001065126,0.976052,0.01703296,0.0006796842,0.0006999889,0.00003805463,0.0002372452,0.0001478099,0.004047054],"genre_scores_gemma":[0.009378066,0.9650311,0.02067204,0.0007629558,0.001406816,0.0000433809,0.000384133,0.00006293125,0.002258668],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.005958428,"threshold_uncertainty_score":0.01807356,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2639936844","doi":"10.1016/j.autcon.2017.05.005","title":"Integrated detection and tracking of workforce and equipment from construction jobsite videos","year":2017,"lang":"en","type":"article","venue":"Automation in Construction","topic":"Infrastructure Maintenance and Monitoring","field":"Engineering","cited_by":111,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"Concordia University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Workforce; Process (computing); Recall; Precision and recall; Tracking (education); Productivity; Computer science; Construction industry; Construction engineering; Engineering; Artificial intelligence; Operating system","authors":[{"name":"Zhenhua Zhu","is_ca":true},{"name":"Xiaoning Ren","is_ca":true},{"name":"Zhi Chen","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.0101665419074562,"gpt":0.2271405341027873,"spread":0.2169739921953311,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000277087,0.0002389681,0.0002163373,0.00218944,0.000194786,0.0003831564,0.0003238972,0.0006515936,0.001944224],"category_scores_gemma":[0.001118476,0.0001218748,0.0001557458,0.0007827657,0.00008587747,0.0002920364,0.0004856549,0.0003260703,0.001031244],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002041525,"about_ca_system_score_gemma":0.000366169,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007563323,"about_ca_topic_score_gemma":0.02100686,"domain_scores_codex":[0.9998112,0.00001807569,0.000004668385,0.00003703576,0.00008562821,0.0000435054],"domain_scores_gemma":[0.9994192,0.0001401668,0.00005352184,0.00004280726,0.0002686394,0.00007568974],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0006534662,0.0003454066,0.1024391,0.0008259011,0.00009827579,0.000926188,0.0008907189,0.00558963,0.2433394,0.001243579,0.03260958,0.6110388],"study_design_scores_gemma":[0.00004194895,0.0003788899,0.7318317,0.0004569818,0.000129381,0.001510015,0.001360152,0.1345175,0.08312625,0.001408249,0.04515184,0.00008709249],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8604786,0.001494991,0.08496168,0.0005040121,0.0003017853,0.0004862737,0.01804168,0.00231533,0.03141562],"genre_scores_gemma":[0.858263,0.0008854672,0.1130429,0.0002754494,0.0002192441,0.0002741173,0.01099049,0.0002232958,0.01582604],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007563323,"threshold_uncertainty_score":0.01503861,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2009471830","doi":"10.1016/j.autcon.2015.03.006","title":"Optimization-based excavator pose estimation using real-time location systems","year":2015,"lang":"en","type":"article","venue":"Automation in Construction","topic":"Occupational Health and Safety Research","field":"Health Professions","cited_by":111,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"Concordia University","funders":"WorkSafeBC","keywords":"Excavator; Earthworks; Identification (biology); Engineering; Computer science; Estimation; Real-time computing; Reliability engineering; Systems engineering; Civil engineering","authors":[{"name":"Faridaddin Vahdatikhaki","is_ca":true},{"name":"Amin Hammad","is_ca":true},{"name":"Hafiza Tooba Siddiqui","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.09144097384116828,"gpt":0.4455720961876607,"spread":0.3541311223464925,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003699602,0.0008707391,0.001122093,0.0007220219,0.000341016,0.0006855965,0.00078597,0.0007183361,0.001883696],"category_scores_gemma":[0.001426145,0.0006580828,0.0006265625,0.0009174874,0.0003364134,0.0007915447,0.0007896225,0.0005999958,0.0009203263],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002723314,"about_ca_system_score_gemma":0.000833218,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005385817,"about_ca_topic_score_gemma":0.007538727,"domain_scores_codex":[0.9995028,0.00009253714,0.00002539338,0.0001626998,0.0001544777,0.00006220511],"domain_scores_gemma":[0.9994416,0.0001744685,0.0001053365,0.00007567814,0.0001700183,0.00003297977],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0004265651,0.0001751439,0.003649073,0.0001220774,0.0001232621,0.0001163743,0.0001304108,0.6221386,0.03553093,0.0008153309,0.001655616,0.3351167],"study_design_scores_gemma":[0.00001412594,0.00005703936,0.002250092,0.000005379758,0.0000142116,0.00004511247,0.00002091297,0.9929598,0.003753558,0.0002635452,0.0006034289,0.00001283947],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.05498578,0.0001810753,0.9423624,0.00007008252,0.00005258358,0.0000243921,0.00008706437,0.001058436,0.001178165],"genre_scores_gemma":[0.7954943,0.000170323,0.2008799,0.00005526868,0.00004820767,0.00007401778,0.0003495081,0.0001226479,0.002805797],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005385817,"threshold_uncertainty_score":0.01070893,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3082354722","doi":"10.1016/j.autcon.2020.103368","title":"Rule-based compliance checking and generative design for building interiors using BIM","year":2020,"lang":"en","type":"article","venue":"Automation in Construction","topic":"BIM and Construction Integration","field":"Engineering","cited_by":110,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Alberta; Athabasca University","funders":"Natural Sciences and Engineering Research Council of Canada; Alberta Innovates - Technology Futures; CRDF Global","keywords":"Building information modeling; Generative Design; Computer science; Process (computing); Building design; Design language; Set (abstract data type); Modeling language; Representation (politics); Software engineering; Engineering design process; Design process; Systems engineering; Human–computer interaction; Engineering; Programming language; Architectural engineering; Software; Work in process","authors":[{"name":"Christoph Sydora","is_ca":true},{"name":"Eleni Stroulia","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.06662640949856635,"gpt":0.2762750582442213,"spread":0.209648648745655,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004896069,0.0008941473,0.001397805,0.001537624,0.001076805,0.003384203,0.002969555,0.001559136,0.003785995],"category_scores_gemma":[0.01342272,0.001311375,0.002673483,0.001047119,0.00339673,0.002496273,0.003738317,0.001795017,0.000864836],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007923511,"about_ca_system_score_gemma":0.002146166,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004438541,"about_ca_topic_score_gemma":0.006294932,"domain_scores_codex":[0.9944252,0.001845778,0.0003803322,0.0007105957,0.002290167,0.0003480263],"domain_scores_gemma":[0.9925476,0.003484751,0.0004419109,0.002285033,0.001126339,0.0001144718],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000352433,0.0002800856,0.002694853,0.0003010103,0.0001506606,0.0004246667,0.0009461805,0.6609539,0.0156214,0.1204367,0.00173326,0.1961048],"study_design_scores_gemma":[0.00002879744,0.00003478637,0.0001794337,0.00003615275,0.00003559165,0.00006059871,0.00005423575,0.9523422,0.008884722,0.03656149,0.001761792,0.00002021644],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01010247,0.00002697959,0.9864625,0.00003374666,0.00001250335,0.00006660005,0.00004629028,0.001695539,0.001553311],"genre_scores_gemma":[0.353972,0.00006291812,0.6434714,0.00006198556,0.000008941968,0.0001471704,0.0003393435,0.0005504119,0.001385852],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004896069,"threshold_uncertainty_score":0.02589321,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2983459912","doi":"10.1016/j.autcon.2019.102935","title":"Impact of augmented reality and spatial cognition on assembly in construction","year":2019,"lang":"en","type":"article","venue":"Automation in Construction","topic":"Augmented Reality Applications","field":"Computer Science","cited_by":109,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Augmented reality; Rework; Workflow; Cognition; Interface (matter); Virtual reality; Human–computer interaction; Relation (database); Engineering; Computer science; Simulation; Psychology; Data mining","authors":[{"name":"Caroline Kwiatek","is_ca":true},{"name":"Mohammad Mahdi Sharif","is_ca":true},{"name":"Siyuan Li","is_ca":true},{"name":"Carl T. Haas","is_ca":true},{"name":"Scott Walbridge","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01378396899725937,"gpt":0.2909344857918744,"spread":0.277150516794615,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001094292,0.0007675451,0.0003103986,0.001243709,0.0007598045,0.005695437,0.0007008043,0.001002066,0.01142137],"category_scores_gemma":[0.01061181,0.0004209518,0.0007934973,0.0007745576,0.003109944,0.002996344,0.003081186,0.0006978123,0.0004763268],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001047818,"about_ca_system_score_gemma":0.0009751767,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009659933,"about_ca_topic_score_gemma":0.007191932,"domain_scores_codex":[0.9981846,0.0007218739,0.00009268129,0.0002663135,0.0005351104,0.0001993518],"domain_scores_gemma":[0.9938645,0.003984525,0.0006992122,0.0006208128,0.0006366268,0.0001943629],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.007418484,0.001643395,0.1030246,0.001956973,0.0007183183,0.00290595,0.06551561,0.08887204,0.0774499,0.1846271,0.002740584,0.463127],"study_design_scores_gemma":[0.0004007906,0.003803352,0.5839924,0.0008532303,0.001377718,0.00302953,0.06911822,0.1275192,0.03763159,0.1354348,0.03626638,0.0005728446],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8945957,0.001029925,0.02611069,0.0005137668,0.00008051233,0.00002950831,0.0001098898,0.0001786907,0.07735127],"genre_scores_gemma":[0.9960793,0.0001582381,0.002397121,0.00001419404,0.00000856394,0.000005883385,0.0000203023,0.00001646839,0.001300033],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01142137,"threshold_uncertainty_score":0.03820831,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2019060119","doi":"10.1016/j.autcon.2008.08.001","title":"Visualizing high-rise building construction strategies using linear scheduling and 4D CAD","year":2008,"lang":"en","type":"article","venue":"Automation in Construction","topic":"BIM and Construction Integration","field":"Engineering","cited_by":101,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of British Columbia","funders":"","keywords":"Schedule; Scheduling (production processes); Computer science; Visualization; CAD; Project management; Software engineering; Systems engineering; Industrial engineering; Engineering; Engineering drawing; Operations management; Artificial intelligence","authors":[{"name":"Alan D. Russell","is_ca":true},{"name":"Sheryl Staub‐French","is_ca":true},{"name":"Ngoc Tran","is_ca":true},{"name":"William Wong","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.0170725969977628,"gpt":0.2583357278586067,"spread":0.2412631308608439,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002775407,0.0009276921,0.0004728245,0.001239088,0.0003519942,0.001277929,0.0006250961,0.000577188,0.01328534],"category_scores_gemma":[0.0006260286,0.0005899174,0.0005057544,0.001355174,0.0004134371,0.0006255157,0.0006424127,0.0006539171,0.0007661606],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007526686,"about_ca_system_score_gemma":0.001253189,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009252558,"about_ca_topic_score_gemma":0.01488839,"domain_scores_codex":[0.9998561,0.00003091725,0.000007754992,0.0000186933,0.00005042409,0.00003610555],"domain_scores_gemma":[0.9996216,0.0001931991,0.00003476936,0.00003925228,0.00005712273,0.00005402931],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0009607226,0.0005030085,0.006120149,0.0005966483,0.00008607587,0.0005790267,0.001833069,0.7117714,0.07051379,0.02305772,0.007825032,0.1761533],"study_design_scores_gemma":[0.00008512747,0.0001287202,0.003677382,0.00003935235,0.0000297349,0.0001099446,0.0004682625,0.970456,0.01261225,0.005461965,0.006865025,0.00006623553],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3853173,0.0005729191,0.5764759,0.0007184693,0.0001250331,0.000212368,0.001547133,0.008249111,0.02678177],"genre_scores_gemma":[0.7839554,0.0004179027,0.2100412,0.00005508748,0.00002370289,0.0001022321,0.0004959517,0.0005421665,0.004366369],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01328534,"threshold_uncertainty_score":0.04444391,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2144433307","doi":"10.1016/s0926-5805(99)00002-3","title":"A development framework for data models for computer-integrated facilities management","year":2000,"lang":"en","type":"article","venue":"Automation in Construction","topic":"BIM and Construction Integration","field":"Engineering","cited_by":100,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Interoperability; Engineering management; Facility management; Data management; Architecture; Construction management; Computer science; Systems engineering; Engineering; Data sharing; Software engineering; Database; Business; World Wide Web","authors":[{"name":"Kevin Yu","is_ca":true},{"name":"Thomas Froese","is_ca":true},{"name":"François Grobler","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.03096221014164092,"gpt":0.2450433658332571,"spread":0.2140811556916162,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.007573004,0.00148459,0.00155045,0.002947279,0.001587917,0.007485908,0.005668072,0.002280414,0.00531787],"category_scores_gemma":[0.01149264,0.002112917,0.003465776,0.003189865,0.001448822,0.006226931,0.004298194,0.004384605,0.003178038],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002114495,"about_ca_system_score_gemma":0.004586704,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01266507,"about_ca_topic_score_gemma":0.01594147,"domain_scores_codex":[0.9957151,0.0008261047,0.000825148,0.0004575012,0.001914783,0.000261373],"domain_scores_gemma":[0.9951915,0.001353956,0.0002734132,0.001460066,0.001448316,0.0002728277],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0001444847,0.0002640447,0.001731868,0.0008723057,0.0003058109,0.0006453788,0.001255756,0.1141896,0.005629489,0.6152484,0.03410292,0.2256099],"study_design_scores_gemma":[0.00007612268,0.00008390522,0.0003495828,0.0004653732,0.0002167074,0.00045851,0.0002285675,0.5168281,0.01161218,0.1766779,0.2928788,0.0001243094],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0005375125,0.00007963979,0.9936064,0.0001388875,0.00003661686,0.0001482043,0.000429003,0.003953388,0.001070262],"genre_scores_gemma":[0.0204719,0.0003374253,0.9726751,0.0001231189,0.00002932065,0.000497068,0.003064507,0.001154941,0.001646605],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01266507,"threshold_uncertainty_score":0.04005039,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2015404834","doi":"10.1016/j.autcon.2010.07.017","title":"Multisensor data fusion for on-site materials tracking in construction","year":2010,"lang":"en","type":"article","venue":"Automation in Construction","topic":"Occupational Health and Safety Research","field":"Health Professions","cited_by":100,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Robustness (evolution); Sensor fusion; Computer science; Scalability; Inefficiency; Data mining; Real-time computing; Engineering; Artificial intelligence; Database","authors":[{"name":"Saiedeh Razavi","is_ca":true},{"name":"Carl T. Haas","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.1272931737036798,"gpt":0.4983116293582912,"spread":0.3710184556546114,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005843212,0.0006498023,0.000960352,0.001370321,0.000446071,0.0008047267,0.0006599934,0.0009528134,0.001549212],"category_scores_gemma":[0.0009731227,0.0003832282,0.0006054527,0.001445727,0.0002865313,0.001077054,0.0009741102,0.0005502378,0.0006297733],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003432066,"about_ca_system_score_gemma":0.0004857719,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002868353,"about_ca_topic_score_gemma":0.004481714,"domain_scores_codex":[0.9994274,0.0001109301,0.0000220356,0.0001179458,0.0002542095,0.00006746488],"domain_scores_gemma":[0.9996648,0.00009792735,0.00004933892,0.0000529504,0.0001133304,0.00002172198],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.001431793,0.0005851334,0.01711341,0.0004182494,0.00021758,0.0002092742,0.0004634142,0.09231108,0.1953107,0.001586421,0.004807752,0.6855451],"study_design_scores_gemma":[0.00005981994,0.0003559177,0.04667367,0.0000437121,0.0001766864,0.0002360907,0.0003170796,0.875545,0.06819504,0.00343931,0.004874682,0.00008303909],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3805724,0.001095191,0.6098162,0.0003130468,0.0002828363,0.00006857223,0.0007023436,0.001636665,0.005512856],"genre_scores_gemma":[0.919328,0.0003546811,0.07695436,0.00008135501,0.00006121024,0.00004728288,0.0005245088,0.00007009034,0.002578422],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002868353,"threshold_uncertainty_score":0.00570333,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4321768227","doi":"10.1016/j.autcon.2023.104808","title":"Optimized decision support for BIM maturity assessment","year":2023,"lang":"en","type":"article","venue":"Automation in Construction","topic":"BIM and Construction Integration","field":"Engineering","cited_by":99,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Alberta","funders":"Research Grants Council, University Grants Committee; National Social Science Fund of China; National Natural Science Foundation of China; City University of Hong Kong","keywords":"Maturity (psychological); Capability Maturity Model; Building information modeling; Process (computing); Function (biology); Engineering; Process management; Systems engineering; Risk analysis (engineering); Computer science; Operations management; Business; Software","authors":[{"name":"Zhen‐Song Chen","is_ca":false},{"name":"Meng-Die Zhou","is_ca":false},{"name":"Kwai‐Sang Chin","is_ca":false},{"name":"Amos Darko","is_ca":false},{"name":"Xian‐Jia Wang","is_ca":false},{"name":"Witold Pedrycz","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01209271287198242,"gpt":0.2770197122604636,"spread":0.2649269993884812,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001485581,0.0008785413,0.0008671531,0.001623517,0.0004457579,0.002779272,0.00101762,0.0007357299,0.007697461],"category_scores_gemma":[0.007995691,0.00052921,0.0005814288,0.001285171,0.0002668585,0.001551922,0.001227871,0.0007736481,0.0017068],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007586455,"about_ca_system_score_gemma":0.001450791,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005212369,"about_ca_topic_score_gemma":0.005501288,"domain_scores_codex":[0.9982511,0.0005582623,0.0001223127,0.0002094625,0.0006651551,0.000193514],"domain_scores_gemma":[0.997294,0.001442927,0.0001804027,0.0002648508,0.0007287349,0.00008912427],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001368089,0.0003853629,0.004839398,0.000208626,0.0001258472,0.0002276863,0.0002139366,0.4987607,0.01663251,0.01995446,0.006462673,0.4508207],"study_design_scores_gemma":[0.00001717211,0.00003947154,0.0004366804,0.00000881392,0.00001411195,0.00001660503,0.00002635645,0.990761,0.004108812,0.00374569,0.000816242,0.000009006963],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.06306573,0.0001685572,0.9273599,0.0001767356,0.00004990646,0.0001208488,0.0005684539,0.003655158,0.004834697],"genre_scores_gemma":[0.7590647,0.00009434682,0.2381429,0.00005960501,0.00002220166,0.00009205641,0.0008117122,0.0002082561,0.001504297],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.007697461,"threshold_uncertainty_score":0.02575058,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2981493332","doi":"10.1016/j.autcon.2019.102959","title":"Self-reconfigurable façade-cleaning robot equipped with deep-learning-based crack detection based on convolutional neural networks","year":2019,"lang":"en","type":"article","venue":"Automation in Construction","topic":"Infrastructure Maintenance and Monitoring","field":"Engineering","cited_by":92,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Western University","funders":"Singapore University of Technology and Design","keywords":"Convolutional neural network; Process (computing); Robot; Artificial intelligence; Deep learning; Computer science; Modular design; Set (abstract data type); Machine vision; Artificial neural network; Simulation; Computer vision","authors":[{"name":"Maryam Kouzehgar","is_ca":false},{"name":"Yokhesh Krishnasamy Tamilselvam","is_ca":true},{"name":"Manuel Vega Heredia","is_ca":false},{"name":"Mohan Rajesh Elara","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.002847041657907969,"gpt":0.1770887899265385,"spread":0.1742417482686305,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001317234,0.000664465,0.0004016981,0.0002634957,0.0002049741,0.0002899642,0.001042981,0.0005556521,0.001631439],"category_scores_gemma":[0.0002795644,0.0003231203,0.0004037301,0.0001533599,0.0002661734,0.0004015888,0.0004929728,0.0005334373,0.0005258985],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004884416,"about_ca_system_score_gemma":0.0007357996,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007706411,"about_ca_topic_score_gemma":0.00809122,"domain_scores_codex":[0.9998856,0.000005299946,0.000004158135,0.0000419847,0.00003776997,0.00002521388],"domain_scores_gemma":[0.9998831,0.00001820956,0.00002487481,0.00002044633,0.00003813132,0.00001516933],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0002933458,0.0002086328,0.004174571,0.0002539892,0.0001243556,0.0003477383,0.0001078964,0.5590167,0.111311,0.001846589,0.004254456,0.3180606],"study_design_scores_gemma":[0.000008251385,0.00009751568,0.001437531,0.00001195159,0.00001865308,0.00005364879,0.000008305789,0.9820894,0.01455902,0.0002979876,0.001404461,0.00001335886],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1738257,0.0006473243,0.8049527,0.0002722115,0.0001497581,0.0001412546,0.0002323043,0.01016981,0.009608834],"genre_scores_gemma":[0.8665821,0.0001728734,0.1259539,0.0001351996,0.00001713805,0.000131558,0.00033393,0.00009181789,0.006581527],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.007706411,"threshold_uncertainty_score":0.0153231,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4404280355","doi":"10.1016/j.autcon.2024.105846","title":"Performance comparison of retrieval-augmented generation and fine-tuned large language models for construction safety management knowledge retrieval","year":2024,"lang":"en","type":"article","venue":"Automation in Construction","topic":"Occupational Health and Safety Research","field":"Health Professions","cited_by":90,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Toronto","funders":"","keywords":"Computer science; Information retrieval","authors":[{"name":"Jungwon Lee","is_ca":false},{"name":"Seungjun Ahn","is_ca":false},{"name":"Daeho Kim","is_ca":true},{"name":"Dongkyun Kim","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.06852945978436745,"gpt":0.448781636626997,"spread":0.3802521768426296,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00227634,0.001930491,0.001810925,0.001707361,0.0005886494,0.002262286,0.00217389,0.002266511,0.008497347],"category_scores_gemma":[0.009033238,0.000558473,0.001344065,0.00124783,0.0003727494,0.003073483,0.001730927,0.001332976,0.004814279],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009624968,"about_ca_system_score_gemma":0.002021636,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01924532,"about_ca_topic_score_gemma":0.01291668,"domain_scores_codex":[0.9980123,0.0007011062,0.0002286379,0.0005544171,0.0002975374,0.0002059488],"domain_scores_gemma":[0.9951835,0.003304197,0.0001171209,0.0005358645,0.0006432226,0.0002160144],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.006438755,0.00125243,0.004276533,0.00143383,0.0006981661,0.0005162758,0.0004023272,0.06602301,0.03783762,0.001197714,0.02519585,0.8547274],"study_design_scores_gemma":[0.0006095567,0.001302322,0.00396516,0.0000646241,0.0006208667,0.0005257233,0.0004469963,0.9509,0.03356856,0.001620219,0.006240163,0.0001357759],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6848989,0.01086099,0.1791825,0.001253495,0.001158816,0.000682498,0.007342781,0.1011017,0.01351837],"genre_scores_gemma":[0.8215591,0.001546541,0.1458533,0.0005178378,0.0001637593,0.0002547253,0.02104239,0.001447319,0.007615124],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01924532,"threshold_uncertainty_score":0.0382666,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3123586607","doi":"10.1016/j.autcon.2021.103561","title":"Automated shape and pose updating of building information model elements from 3D point clouds","year":2021,"lang":"en","type":"article","venue":"Automation in Construction","topic":"3D Surveying and Cultural Heritage","field":"Earth and Planetary Sciences","cited_by":89,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada; Mitacs","keywords":"Point cloud; Computer science; Computer vision; Point (geometry); Artificial intelligence; Computer graphics (images); Information model; Engineering drawing; Engineering; Geometry; Mathematics; Database","authors":[{"name":"Christopher Rausch","is_ca":true},{"name":"Carl T. Haas","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01216814431500551,"gpt":0.2286175018097353,"spread":0.2164493574947298,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007033903,0.001062185,0.001369242,0.002130614,0.0006136231,0.001827181,0.001993221,0.0009136199,0.002045674],"category_scores_gemma":[0.002746799,0.001213378,0.001234296,0.002883122,0.0006426726,0.001614654,0.002638417,0.001166013,0.002400752],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005977252,"about_ca_system_score_gemma":0.001296145,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01284776,"about_ca_topic_score_gemma":0.01938368,"domain_scores_codex":[0.9986302,0.0001417732,0.00006236502,0.0003005693,0.0007430993,0.0001220438],"domain_scores_gemma":[0.9985851,0.0002150457,0.0001557752,0.0005145741,0.0004725917,0.00005688501],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0001866066,0.0001559662,0.00424334,0.0001623593,0.00009539969,0.0001556366,0.0003718987,0.1227935,0.06206778,0.0021454,0.005044806,0.8025773],"study_design_scores_gemma":[0.00001572854,0.00005219214,0.005741018,0.0000227009,0.00003965785,0.0001490958,0.0001168352,0.9538919,0.03340405,0.001908417,0.004624987,0.0000334358],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04698747,0.0002191655,0.942888,0.00008402742,0.00007727868,0.0001042868,0.0005283302,0.00753809,0.001573474],"genre_scores_gemma":[0.4578843,0.0003960532,0.5348535,0.00008694288,0.00004020924,0.0001156721,0.00314397,0.000859423,0.002619777],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01284776,"threshold_uncertainty_score":0.02554595,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3033110589","doi":"10.1016/j.autcon.2020.103257","title":"Building automation system - BIM integration using a linked data structure","year":2020,"lang":"en","type":"article","venue":"Automation in Construction","topic":"BIM and Construction Integration","field":"Engineering","cited_by":88,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"York University; Toronto Metropolitan University","funders":"Natural Sciences and Engineering Research Council of Canada; Ontario Research Foundation","keywords":"Building information modeling; Automation; Systems engineering; Engineering; System integration; Building automation; Computer science; Construction engineering; Manufacturing engineering; Software engineering; Database; Operations management; Mechanical engineering","authors":[{"name":"Caroline Quinn","is_ca":true},{"name":"Ali Zargar Shabestari","is_ca":true},{"name":"Tony Misic","is_ca":true},{"name":"Sara Gilani","is_ca":true},{"name":"Marin Litoiu","is_ca":true},{"name":"J.J. McArthur","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.03048398115970122,"gpt":0.2548315629115585,"spread":0.2243475817518572,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002214785,0.0006262219,0.0006908242,0.003626203,0.001053575,0.004138236,0.001257562,0.001123399,0.005164079],"category_scores_gemma":[0.003567652,0.0006459893,0.00107056,0.003114467,0.0006617425,0.00324168,0.003161271,0.001018758,0.003106904],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001150693,"about_ca_system_score_gemma":0.002723902,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00541625,"about_ca_topic_score_gemma":0.005130433,"domain_scores_codex":[0.9973049,0.0004925751,0.0002480302,0.0003242572,0.001475963,0.0001542659],"domain_scores_gemma":[0.9985807,0.0002653357,0.00009767302,0.0005132344,0.0004726083,0.00007043039],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.000698115,0.001284064,0.01560623,0.0006543234,0.0004724683,0.0009158687,0.00171129,0.1197913,0.04994497,0.2099341,0.03258815,0.5663992],"study_design_scores_gemma":[0.00015889,0.0002999715,0.009658393,0.0002457548,0.0003460724,0.0005906527,0.000481602,0.6764261,0.1159694,0.06195051,0.1336812,0.0001915202],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03003879,0.0001755148,0.9306874,0.0003184831,0.0001168003,0.0003714999,0.002212237,0.01748584,0.01859333],"genre_scores_gemma":[0.4222025,0.0003241619,0.5535091,0.0002498757,0.00006516391,0.0004325774,0.01116247,0.0009034417,0.01115068],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00541625,"threshold_uncertainty_score":0.01727557,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4366765123","doi":"10.1016/j.autcon.2023.104885","title":"Deep learning-based active noise control on construction sites","year":2023,"lang":"en","type":"article","venue":"Automation in Construction","topic":"Noise Effects and Management","field":"Health Professions","cited_by":85,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Manitoba","funders":"Canada Foundation for Innovation; Research Manitoba","keywords":"Active noise control; Feed forward; Noise (video); Noise control; Controller (irrigation); Transient (computer programming); Engineering; Noise pollution; Broadband; Computer science; Attenuation; Nonlinear system; Electronic engineering; Control (management); Control engineering; Control theory (sociology); Telecommunications; Channel (broadcasting); Artificial intelligence; Noise reduction","authors":[{"name":"Alireza Mostafavi","is_ca":true},{"name":"Young‐Jin Cha","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.02029694817886248,"gpt":0.3481074479020969,"spread":0.3278104997232344,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004657819,0.0007314595,0.000780353,0.0004926193,0.0003633903,0.0006389831,0.00125233,0.001000065,0.001991704],"category_scores_gemma":[0.00120834,0.0004183751,0.0006731555,0.0005321743,0.000447108,0.0007115435,0.0009741947,0.001105203,0.0004165592],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007186802,"about_ca_system_score_gemma":0.0009588201,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01777354,"about_ca_topic_score_gemma":0.02110523,"domain_scores_codex":[0.9996853,0.00004695378,0.000009880247,0.00009335541,0.00006792437,0.00009656513],"domain_scores_gemma":[0.9995384,0.0001743171,0.00003492614,0.00004537257,0.0001626924,0.00004432938],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0003199302,0.0002409314,0.002708931,0.00006197512,0.00005508896,0.00006624231,0.00004500529,0.8220344,0.006808589,0.001662894,0.002318373,0.1636776],"study_design_scores_gemma":[0.000003083656,0.00001222568,0.00025953,0.000002162379,0.000003497874,0.000002165867,0.000005031086,0.9986223,0.0005803109,0.0004092389,0.00009840339,0.000002003097],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2463465,0.0006468539,0.7451751,0.0004349977,0.0001871059,0.00004287909,0.0003261967,0.001980232,0.004860302],"genre_scores_gemma":[0.9645756,0.0001033827,0.03055082,0.00008860081,0.00003544274,0.0000285474,0.0003889369,0.00006733077,0.004161456],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01777354,"threshold_uncertainty_score":0.03534019,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2888947374","doi":"10.1016/j.autcon.2018.07.009","title":"Automated Crane Planning and Optimization for modular construction","year":2018,"lang":"en","type":"article","venue":"Automation in Construction","topic":"BIM and Construction Integration","field":"Engineering","cited_by":82,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"PCL Construction (Canada)","funders":"","keywords":"Modular design; Lift (data mining); Engineering; Plan (archaeology); Modular construction; Lifting equipment; Computer science; Operating system; Mechanical engineering","authors":[{"name":"Hosein Taghaddos","is_ca":false},{"name":"Ulrich Hermann","is_ca":true},{"name":"ArioBarzan Abbasi","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.008868786673722838,"gpt":0.2341594969518147,"spread":0.2252907102780918,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003635863,0.0006469955,0.001044597,0.000637525,0.0005443072,0.0007493426,0.0008831616,0.0006137886,0.004174601],"category_scores_gemma":[0.001272189,0.0006927652,0.0006628901,0.0007897644,0.0006755218,0.0007035271,0.001020545,0.0007806572,0.0004014332],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008513896,"about_ca_system_score_gemma":0.002145118,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0307145,"about_ca_topic_score_gemma":0.0398627,"domain_scores_codex":[0.9996631,0.00008213151,0.000009987142,0.00006501631,0.0001237196,0.00005609227],"domain_scores_gemma":[0.9996669,0.0001783032,0.00002754043,0.00005141722,0.00005832461,0.00001753074],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00004385724,0.00002524687,0.0002544213,0.00002844894,0.00001108558,0.0000188216,0.00002771483,0.9597967,0.001116055,0.003699761,0.0005146161,0.03446329],"study_design_scores_gemma":[0.000003742017,0.000008684733,0.00009643144,0.000001662457,0.000002315846,0.000003980166,0.000005548733,0.9977911,0.0003530243,0.001435316,0.0002960165,0.000002227932],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0626241,0.0002394735,0.929094,0.0000944464,0.00002240927,0.00007201348,0.0001693432,0.0009868194,0.006697416],"genre_scores_gemma":[0.7790719,0.0001593919,0.2165936,0.00002221341,0.00001225148,0.00009433873,0.0002554468,0.0001614291,0.003629354],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0307145,"threshold_uncertainty_score":0.06107146,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2073515309","doi":"10.1016/j.autcon.2012.10.005","title":"Accuracy assessment of Ultra-Wide Band technology in tracking static resources in indoor construction scenarios","year":2012,"lang":"en","type":"article","venue":"Automation in Construction","topic":"Indoor and Outdoor Localization Technologies","field":"Engineering","cited_by":80,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Calgary","funders":"","keywords":"Tracking (education); Computer science; Ultra-wideband; Metre; Real-time computing; Mode (computer interface); Tracking system; Ranging; Key (lock); Simulation; Telecommunications; Artificial intelligence; Kalman filter; Computer security","authors":[{"name":"Reza Maalek","is_ca":true},{"name":"Farnaz Sadeghpour","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.009143858103549913,"gpt":0.2565653241378385,"spread":0.2474214660342886,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009855448,0.0004638554,0.0004051792,0.0009565289,0.000309597,0.000777772,0.0006853378,0.001095603,0.0005418297],"category_scores_gemma":[0.004242214,0.0001689711,0.0002987546,0.0008333283,0.0003002128,0.0009227752,0.0006701592,0.0002548074,0.0003189219],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003819071,"about_ca_system_score_gemma":0.0002840222,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003114613,"about_ca_topic_score_gemma":0.002483104,"domain_scores_codex":[0.9989468,0.0003092304,0.00003959804,0.0001468187,0.0004028545,0.0001545773],"domain_scores_gemma":[0.9976161,0.00117691,0.0002272638,0.0002388544,0.0006854954,0.00005543806],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.003493574,0.000310373,0.1764154,0.0005016769,0.000373888,0.0007646921,0.0006403577,0.3879644,0.1168199,0.003045842,0.001255087,0.3084148],"study_design_scores_gemma":[0.000042548,0.001332345,0.08797476,0.00006311998,0.0003252897,0.000903518,0.0005522073,0.8259104,0.07978625,0.001196909,0.00183799,0.00007457593],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8327714,0.000634891,0.161886,0.00007173079,0.00005334694,0.00002512169,0.0001385358,0.0003778586,0.004041192],"genre_scores_gemma":[0.9909719,0.0001414093,0.008265015,0.00001438724,0.00000598493,0.000006495336,0.0001011308,0.00001206789,0.0004814871],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003114613,"threshold_uncertainty_score":0.006192982,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2945689285","doi":"10.1016/j.autcon.2019.04.014","title":"Segment-based pavement crack quantification","year":2019,"lang":"en","type":"article","venue":"Automation in Construction","topic":"Infrastructure Maintenance and Monitoring","field":"Engineering","cited_by":77,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Waterloo","funders":"Wuhan University; National Natural Science Foundation of China","keywords":"Enhanced Data Rates for GSM Evolution; Segmentation; Pixel; Edge detection; Grayscale; Fracture mechanics; Structural engineering; Computer science; Materials science; Image processing; Artificial intelligence; Image (mathematics); Engineering","authors":[{"name":"Xingxing Weng","is_ca":false},{"name":"Yuchun Huang","is_ca":false},{"name":"Wenzong Wang","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.005903485132817769,"gpt":0.210669961577554,"spread":0.2047664764447363,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003670769,0.0006443488,0.00063079,0.002315842,0.0002430393,0.0008922211,0.0007816412,0.0007524535,0.00303307],"category_scores_gemma":[0.001180969,0.0003069039,0.0004072417,0.001249045,0.0002975154,0.00097489,0.0008872548,0.0004328433,0.001171649],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003273202,"about_ca_system_score_gemma":0.0004388443,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003980982,"about_ca_topic_score_gemma":0.006046473,"domain_scores_codex":[0.999548,0.00005856888,0.00001904941,0.0001238003,0.0001855396,0.00006504244],"domain_scores_gemma":[0.9991813,0.000193033,0.000115737,0.0001640378,0.0003057999,0.00004005548],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0006384279,0.0002232109,0.02942509,0.0002636654,0.0001513225,0.0001292171,0.0001892807,0.220779,0.1537435,0.003425336,0.003754628,0.5872773],"study_design_scores_gemma":[0.000004971399,0.00006217814,0.01289707,0.000009670406,0.00002191886,0.00006520851,0.00003120603,0.9648231,0.0200521,0.001021113,0.0009942816,0.00001710504],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2378937,0.0002995933,0.7523172,0.0000532764,0.00002712144,0.00007914288,0.001222541,0.005039163,0.003068217],"genre_scores_gemma":[0.8481509,0.0001167664,0.1479904,0.00001661634,0.00001968792,0.00003763137,0.001515446,0.0001480137,0.002004425],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003980982,"threshold_uncertainty_score":0.01014662,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2903443973","doi":"10.1016/j.autcon.2018.11.012","title":"Automated post-3D visualization ergonomic analysis system for rapid workplace design in modular construction","year":2018,"lang":"en","type":"article","venue":"Automation in Construction","topic":"Occupational Health and Safety Research","field":"Health Professions","cited_by":73,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"Concordia University; University of Alberta","funders":"Skaggs School of Pharmacy and Pharmaceutical Sciences; Natural Sciences and Engineering Research Council of Canada","keywords":"Visualization; Modular design; Task (project management); Process (computing); Computer science; Compensation (psychology); Work (physics); Engineering; Human–computer interaction; Risk analysis (engineering); Simulation; Systems engineering; Artificial intelligence","authors":[{"name":"Xinming Li","is_ca":true},{"name":"SangHyeok Han","is_ca":true},{"name":"Mustafa Gül","is_ca":true},{"name":"Mohamed Al‐Hussein","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.04676176851832592,"gpt":0.4236045077355696,"spread":0.3768427392172436,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006460223,0.001399264,0.0009280797,0.001380601,0.0004746755,0.0008474862,0.001128718,0.0006443006,0.01612883],"category_scores_gemma":[0.001316111,0.0008163417,0.0006396777,0.0004865713,0.0001939674,0.0005643344,0.001308255,0.0004900425,0.002730003],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002893898,"about_ca_system_score_gemma":0.001062325,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002087011,"about_ca_topic_score_gemma":0.004036143,"domain_scores_codex":[0.9995137,0.00007553284,0.00003049844,0.00009929504,0.0002350093,0.00004600962],"domain_scores_gemma":[0.9990184,0.000295255,0.00007266584,0.0001654764,0.0003668993,0.00008122123],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.001188861,0.0004707869,0.01068848,0.0006462242,0.0001083369,0.0004225313,0.001389478,0.01665345,0.2333698,0.001267944,0.01989116,0.713903],"study_design_scores_gemma":[0.0003744666,0.001373895,0.08419196,0.0002473202,0.000313608,0.001092575,0.001106552,0.6480624,0.2031101,0.003453199,0.05631581,0.0003581076],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1001922,0.0002567007,0.8439346,0.0001487861,0.0001183447,0.0003655961,0.001872684,0.04954091,0.003570202],"genre_scores_gemma":[0.4175539,0.0002514828,0.5729416,0.0001082516,0.00004525184,0.0005085761,0.001606469,0.001839686,0.005144702],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01612883,"threshold_uncertainty_score":0.05395633,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3043460766","doi":"10.1016/j.autcon.2020.103348","title":"Neuro-fuzzy systems in construction engineering and management research","year":2020,"lang":"en","type":"article","venue":"Automation in Construction","topic":"Neural Networks and Applications","field":"Computer Science","cited_by":70,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"Natural Sciences and Engineering Research Council; University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Interpretability; Computer science; Fuzzy logic; Identification (biology); Maxima and minima; Convergence (economics); Machine learning; Fuzzy set; Artificial intelligence; Management science; Industrial engineering; Data mining; Engineering; Mathematics","authors":[{"name":"Getaneh Gezahegne Tiruneh","is_ca":true},{"name":"Aminah Robinson Fayek","is_ca":true},{"name":"Vuppuluri Sumati","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.03236979421865804,"gpt":0.271942178678385,"spread":0.239572384459727,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00334651,0.0004934124,0.0006939483,0.002802843,0.0008703546,0.002531317,0.0008079223,0.001707949,0.002278069],"category_scores_gemma":[0.004426997,0.0001968075,0.0005657648,0.004124221,0.001862525,0.002299682,0.0009335486,0.001205006,0.0003188198],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002716975,"about_ca_system_score_gemma":0.00304316,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008693631,"about_ca_topic_score_gemma":0.01021263,"domain_scores_codex":[0.9982626,0.0007515569,0.0001350332,0.0001653991,0.000612755,0.0000726622],"domain_scores_gemma":[0.9979254,0.001358983,0.0002160802,0.00008748347,0.0003670561,0.00004504234],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00005899086,0.00009530567,0.006299035,0.002918492,0.0002386108,0.0003847293,0.001275822,0.07037049,0.001071717,0.4803463,0.007113615,0.4298269],"study_design_scores_gemma":[0.00002389895,0.0001942572,0.01198056,0.004744171,0.0001594146,0.0005122661,0.003590377,0.1237279,0.001815667,0.6496144,0.2034988,0.0001383484],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"review","genre_scores_codex":[0.05178878,0.3896098,0.3980737,0.01981256,0.002055658,0.0002802421,0.0005049157,0.0002419465,0.1376323],"genre_scores_gemma":[0.6875142,0.1613702,0.1396239,0.001835451,0.0008296797,0.0002651193,0.0002477096,0.0000243395,0.008289433],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.008693631,"threshold_uncertainty_score":0.0197131,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W1969884402","doi":"10.1016/j.autcon.2014.07.006","title":"Image dataset development for measuring construction equipment recognition performance","year":2014,"lang":"en","type":"article","venue":"Automation in Construction","topic":"Infrastructure Maintenance and Monitoring","field":"Engineering","cited_by":69,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Concordia University","funders":"Science for Equity, Empowerment and Development Division","keywords":"Excavator; Computer science; Loader; Cognitive neuroscience of visual object recognition; Artificial intelligence; Robustness (evolution); Correctness; Boom; Computer vision; Engineering; Object (grammar)","authors":[{"name":"Humaira Tajeen","is_ca":true},{"name":"Zhenhua Zhu","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01584492363970968,"gpt":0.2195015391639147,"spread":0.203656615524205,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008170931,0.001550462,0.0007975655,0.002886371,0.0006181219,0.001013927,0.00177553,0.001237339,0.005895172],"category_scores_gemma":[0.002036817,0.0003086819,0.001248101,0.002205744,0.0003007431,0.0008901657,0.001076757,0.0009818854,0.006635293],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008148654,"about_ca_system_score_gemma":0.001392786,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01573121,"about_ca_topic_score_gemma":0.02529107,"domain_scores_codex":[0.9988623,0.00008914991,0.000118879,0.000329122,0.0004375561,0.0001630427],"domain_scores_gemma":[0.9985175,0.0001010223,0.0001028004,0.0004088744,0.0007453383,0.000124428],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.001185841,0.002056311,0.02859487,0.00172889,0.0004857281,0.0003707599,0.0001273739,0.01080417,0.07259666,0.001947984,0.479062,0.4010394],"study_design_scores_gemma":[0.0005630832,0.001449255,0.2673875,0.0005159239,0.0007159776,0.001833781,0.0007510984,0.1425743,0.1912715,0.002569826,0.390042,0.0003258236],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.1687823,0.001180105,0.1050565,0.0005947758,0.0008191231,0.003851381,0.6645889,0.0322274,0.02289954],"genre_scores_gemma":[0.05868438,0.0002641364,0.06810284,0.0002139262,0.00006326832,0.001873912,0.8644145,0.0003585353,0.00602449],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01573121,"threshold_uncertainty_score":0.03127933,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3156766589","doi":"10.1016/j.autcon.2021.103721","title":"A vision-based method for automatic tracking of construction machines at nighttime based on deep learning illumination enhancement","year":2021,"lang":"en","type":"article","venue":"Automation in Construction","topic":"3D Surveying and Cultural Heritage","field":"Earth and Planetary Sciences","cited_by":69,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Alberta","funders":"National Natural Science Foundation of China; University of Alberta","keywords":"Robustness (evolution); Computer science; Artificial intelligence; Tracking (education); Kalman filter; Computer vision; sort; Data association; Eye tracking; Machine learning; Filter (signal processing)","authors":[{"name":"Bo Xiao","is_ca":true},{"name":"Qiang Lin","is_ca":false},{"name":"Yuan Chen","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.01254251507435722,"gpt":0.2668963295631739,"spread":0.2543538144888167,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002702982,0.0006491464,0.0007295625,0.001019195,0.000331977,0.0005666283,0.00112608,0.0006139243,0.001899703],"category_scores_gemma":[0.0003566998,0.0004417938,0.000688633,0.001039031,0.0002422393,0.0005715728,0.0009280073,0.000862653,0.001319175],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004483374,"about_ca_system_score_gemma":0.0008643895,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006510099,"about_ca_topic_score_gemma":0.01417145,"domain_scores_codex":[0.9997,0.00001950972,0.000009124232,0.0001050135,0.00009674427,0.00006959117],"domain_scores_gemma":[0.9998131,0.00001910019,0.00002105482,0.00003582222,0.00009228927,0.00001865752],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0001756998,0.0001950319,0.002833078,0.00008420464,0.00007312917,0.00006937922,0.00005359851,0.02341476,0.07316969,0.001179507,0.006456065,0.8922958],"study_design_scores_gemma":[0.00001649692,0.00007267247,0.006438916,0.00001607681,0.00004654601,0.0001643984,0.00002300857,0.9450218,0.04082769,0.001210117,0.006135124,0.00002720577],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03098283,0.0004253993,0.9621679,0.00009084756,0.0001241968,0.00004893844,0.0002229172,0.002896883,0.003040128],"genre_scores_gemma":[0.395407,0.0005516129,0.5885014,0.0002212957,0.0001021078,0.00008983531,0.001351816,0.0003441231,0.01343082],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006510099,"threshold_uncertainty_score":0.01294446,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3147942149","doi":"10.1016/j.autcon.2021.103686","title":"Quantitative investigation on the accuracy and precision of Scan-to-BIM under different modelling scenarios","year":2021,"lang":"en","type":"article","venue":"Automation in Construction","topic":"3D Surveying and Cultural Heritage","field":"Earth and Planetary Sciences","cited_by":67,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada; Mitacs","keywords":"Building information modeling; Computer science; Automation; Ground truth; Data mining; Information model; Systems engineering; Artificial intelligence; Engineering; Software engineering","authors":[{"name":"Mansour Esnaashary Esfahani","is_ca":true},{"name":"Christopher Rausch","is_ca":true},{"name":"Mohammad Mahdi Sharif","is_ca":true},{"name":"Qian Chen","is_ca":false},{"name":"Carl T. Haas","is_ca":true},{"name":"Bryan T. Adey","is_ca":false}],"retraction":null,"screen_n_in":null,"score":{"opus":0.07003548266244033,"gpt":0.2585687474495416,"spread":0.1885332647871012,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01546209,0.0009607583,0.0006905714,0.003064964,0.0006635177,0.002648192,0.001364086,0.001307313,0.001295143],"category_scores_gemma":[0.05357922,0.0005671565,0.000806147,0.004382305,0.001593536,0.002649856,0.001549813,0.0007699197,0.0004253928],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001421177,"about_ca_system_score_gemma":0.0007265343,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005314289,"about_ca_topic_score_gemma":0.006460135,"domain_scores_codex":[0.9893967,0.003303776,0.000917919,0.001503001,0.004324863,0.0005537611],"domain_scores_gemma":[0.9431935,0.03139662,0.005022019,0.01206742,0.008087315,0.0002331818],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.0008645877,0.0002919037,0.07813467,0.0005723092,0.0002656603,0.0002503865,0.001176593,0.8070378,0.01607974,0.004761019,0.0007984349,0.08976682],"study_design_scores_gemma":[0.00005404082,0.0006508328,0.1111982,0.000200639,0.0001510964,0.0007268566,0.001728323,0.8254858,0.04968378,0.004193199,0.005691021,0.000236139],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8692152,0.0005151409,0.1193266,0.0002130754,0.00005656786,0.0002223461,0.002369942,0.001029174,0.007051961],"genre_scores_gemma":[0.9666697,0.0001332021,0.03162833,0.00001525016,0.000006716502,0.00005648986,0.001103595,0.0001023748,0.000284381],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01546209,"threshold_uncertainty_score":0.08177233,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4380929354","doi":"10.1016/j.autcon.2023.104980","title":"Computer vision applications in offsite construction","year":2023,"lang":"en","type":"article","venue":"Automation in Construction","topic":"BIM and Construction Integration","field":"Engineering","cited_by":62,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"University of British Columbia; University of Alberta","funders":"Alberta Innovates","keywords":"Field (mathematics); Computer science; Computer technology; Machine vision; Point (geometry); Computer Applications; Risk analysis (engineering); Engineering management; Engineering; Systems engineering; Artificial intelligence; Multimedia","authors":[{"name":"Fatima Alsakka","is_ca":true},{"name":"Sena Assaf","is_ca":true},{"name":"Ibrahim El-chami","is_ca":true},{"name":"Mohamed Al‐Hussein","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.00598444359249378,"gpt":0.2262019332462882,"spread":0.2202174896537944,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007451014,0.0005243146,0.0005800309,0.002525553,0.0005688613,0.002257171,0.000896592,0.00153509,0.006562875],"category_scores_gemma":[0.001988256,0.0003582219,0.0005693747,0.002844532,0.0006296427,0.0009695026,0.0009183611,0.0008380708,0.00175575],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007119539,"about_ca_system_score_gemma":0.0008334118,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008628831,"about_ca_topic_score_gemma":0.01026052,"domain_scores_codex":[0.9993554,0.0002192832,0.00002758181,0.0001159459,0.0002048821,0.00007679558],"domain_scores_gemma":[0.9989451,0.0003738121,0.00004827173,0.0001139338,0.0004401889,0.00007889007],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001165169,0.0003159447,0.003996958,0.000348527,0.00004689851,0.0004207338,0.0004878997,0.0274164,0.0189469,0.02238945,0.01320158,0.9123122],"study_design_scores_gemma":[0.00003512693,0.000392542,0.02109202,0.0004009945,0.0001204294,0.002531771,0.001759094,0.7221093,0.04098722,0.06462155,0.1458281,0.0001219251],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1143634,0.01555122,0.7705565,0.002704139,0.0009644589,0.0001568154,0.0002650205,0.002785923,0.09265251],"genre_scores_gemma":[0.7623356,0.008404697,0.2021977,0.0005910866,0.0003328819,0.00005054492,0.0004164009,0.0002322418,0.02543884],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.008628831,"threshold_uncertainty_score":0.02195507,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2064569735","doi":"10.1016/j.autcon.2012.11.027","title":"Onsite 3D marking for construction activity tracking","year":2012,"lang":"en","type":"article","venue":"Automation in Construction","topic":"3D Surveying and Cultural Heritage","field":"Earth and Planetary Sciences","cited_by":60,"is_retracted":false,"has_abstract":false,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Waterloo","funders":"","keywords":"Software; MATLAB; Field (mathematics); Tracking (education); Track (disk drive); Computer science; Engineering; Tracking system; Pipeline (software); Object (grammar); Systems engineering; Real-time computing; Artificial intelligence; Kalman filter; Mechanical engineering","authors":[{"name":"Arash Shahi","is_ca":true},{"name":"Jeffrey West","is_ca":true},{"name":"Carl T. Haas","is_ca":true}],"retraction":null,"screen_n_in":null,"score":{"opus":0.03083536183808851,"gpt":0.2493836476005281,"spread":0.2185482857624396,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003309812,0.0006979459,0.0004648276,0.001133989,0.0004559698,0.001213258,0.001037979,0.0007781149,0.01490704],"category_scores_gemma":[0.001062327,0.0005068567,0.0004150172,0.001069059,0.0002969837,0.0007576672,0.001928903,0.0004447688,0.004347091],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003398923,"about_ca_system_score_gemma":0.0006621318,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003561941,"about_ca_topic_score_gemma":0.01027018,"domain_scores_codex":[0.9992956,0.00008535395,0.00001712189,0.00009889407,0.0004375425,0.00006546979],"domain_scores_gemma":[0.9993683,0.0001486846,0.00004216903,0.0002224856,0.0001804202,0.00003811119],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0004975147,0.0002426113,0.006459805,0.0002488225,0.00003585619,0.0002285728,0.0004725747,0.02195429,0.1346541,0.005201734,0.01411428,0.8158899],"study_design_scores_gemma":[0.00009285773,0.0004449849,0.03168612,0.0001528121,0.00008440058,0.001297501,0.0006449524,0.577362,0.2490249,0.008365151,0.1306762,0.0001680369],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.05337888,0.0001368222,0.9168199,0.00008576406,0.0001018022,0.0001293325,0.0009592623,0.0105159,0.0178723],"genre_scores_gemma":[0.5929068,0.0002253064,0.3818414,0.00009287734,0.00003488405,0.0001929611,0.002109017,0.0008618112,0.0217349],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01490704,"threshold_uncertainty_score":0.049869,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null}]}