{"meta":{"query_hash":"cb85a3117f3f","filters":{"venue":"International Journal of Safety Science"},"cohort_total":19,"direct_labels_cover":0,"predictions_cover":19,"exported":19,"export_cap":100000,"truncated":false,"label_status":"direct model label, unvalidated","prediction_status":"machine_predicted_unvalidated (Codex and Gemma teacher distillation)","score_status":"score_only:v0-immature-baseline","snapshot":{"source":"OpenAlex, pinned release, all 482 partitions","release":"2026-06-24","frame_built":"2026-07-12"},"permalink":"https://metacan.xera.ac/q/cb85a3117f3f","api":"https://metacan.xera.ac/api/v1/cohort?venue=International+Journal+of+Safety+Science"},"results":[{"id":"W2610842834","doi":"10.24900/ijss/01022939.2017.0601","title":"Analytical development of Orthotropic plate on Winkler elastic foundation subjected to moving distributed load","year":2017,"lang":"en","type":"article","venue":"International Journal of Safety Science","topic":"Railway Engineering and Dynamics","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Orthotropic material; Foundation (evidence); Moving load; Structural engineering; Materials science; Geology; Engineering; Finite element method; Geography","score_opus":0.011799485212468337,"score_gpt":0.2634192846012232,"score_spread":0.2516197993887549,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2610842834","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7178158,0.000003535051,0.2804448,0.0001372368,0.0010439195,0.000024896855,0.000007991959,0.000013801335,0.0005079768],"genre_scores_gemma":[0.9931593,0.0000069064945,0.0067168684,0.000010163127,0.00007994137,4.226627e-7,0.0000028168026,0.000006363116,0.000017238572],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.9985797,0.0000037632044,0.00039508863,0.00009175396,0.0007871609,0.00014257638],"domain_scores_gemma":[0.99900246,0.00004929542,0.00014821826,0.0001368781,0.00055583793,0.00010730464],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003884074,0.00008375487,0.00012363539,0.00022128128,0.00011237666,0.00010388223,0.00070068566,0.000024914396,0.000015971435],"category_scores_gemma":[0.0006327554,0.000075180855,0.000038504226,0.00012997739,0.000080070815,0.00034169038,0.00005962701,0.00013078107,0.000012320785],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00010697424,0.00003547687,0.005016549,0.000010645759,0.000083913204,0.000024318675,0.00035563207,0.9524132,0.019084105,0.001912143,0.000019111276,0.020937948],"study_design_scores_gemma":[0.00048497695,0.00007051428,0.63510084,0.0002788372,0.000010022861,0.00003817141,0.000023366441,0.35648277,0.0061860206,0.000121504556,0.001047169,0.00015581807],"about_ca_topic_score_codex":0.0000027421772,"about_ca_topic_score_gemma":0.0000085815755,"teacher_disagreement_score":0.6300843,"about_ca_system_score_codex":0.00048823335,"about_ca_system_score_gemma":0.00022272293,"threshold_uncertainty_score":0.30657864},"labels":[],"label_agreement":null},{"id":"W2750956155","doi":"10.24900/ijss/01024045.2017.0601","title":"Comparison of Gear and Peripheral pumps performance, evaluation of their reliability at operation region","year":2017,"lang":"en","type":"article","venue":"International Journal of Safety Science","topic":"Hydraulic and Pneumatic Systems","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Reliability (semiconductor); Reliability engineering; Peripheral; Computer science; Environmental science; Automotive engineering; Engineering; Physics","score_opus":0.04752372848888791,"score_gpt":0.33303361073451904,"score_spread":0.2855098822456311,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2750956155","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99372214,0.000101084624,0.0024085653,0.00015715379,0.0008323851,0.00007168022,0.000002585141,0.0000031700622,0.0027012588],"genre_scores_gemma":[0.9995778,0.00010476692,0.00022761988,0.0000033388349,0.00007123308,7.3212124e-7,6.518729e-7,0.000002978693,0.000010833464],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99850607,0.000029615952,0.0004934625,0.000069136266,0.00083384296,0.00006787305],"domain_scores_gemma":[0.99847883,0.000037260943,0.00041604566,0.00015706127,0.0008707966,0.000039994535],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002149046,0.000056445457,0.00016208849,0.000081198414,0.000116086434,0.0000394098,0.00043639867,0.000026313399,0.000026958322],"category_scores_gemma":[0.0002175417,0.000043477914,0.00003393011,0.000035410525,0.0002603247,0.0006892221,0.000052002764,0.00006628928,8.339685e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012285142,0.000055393328,0.35219145,0.000062695726,0.000058338595,8.337222e-7,0.0060020066,0.52696276,0.032411832,0.0002466826,0.00007330188,0.081811875],"study_design_scores_gemma":[0.00032812203,0.00004985034,0.36516207,0.00012249059,0.00000763066,0.00003832402,0.00014714545,0.6235379,0.010374926,0.000055318902,0.00013897449,0.00003725841],"about_ca_topic_score_codex":0.000017967222,"about_ca_topic_score_gemma":0.0000057496723,"teacher_disagreement_score":0.09657512,"about_ca_system_score_codex":0.00019597619,"about_ca_system_score_gemma":0.00008760162,"threshold_uncertainty_score":0.17729779},"labels":[],"label_agreement":null},{"id":"W2771773343","doi":"10.24900/ijss/01036173.2017.1201","title":"A Quantitative Method for Dynamic Risk Prediction Using AHP and Grey Modeling: Case Study of a Mud-Flow Hazard","year":2017,"lang":"en","type":"article","venue":"International Journal of Safety Science","topic":"Grey System Theory Applications","field":"Decision Sciences","cited_by":2,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Analytic hierarchy process; Hazard; Computer science; Hazard analysis; Flow (mathematics); Risk analysis (engineering); Operations research; Reliability engineering; Engineering; Mathematics; Business; Chemistry","score_opus":0.19672059502777509,"score_gpt":0.5119146166872954,"score_spread":0.3151940216595204,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2771773343","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.51740396,0.00001679855,0.48162714,0.00017733406,0.00045828888,0.00020416078,0.00007910473,0.0000022751199,0.000030938136],"genre_scores_gemma":[0.87213403,0.0000071931736,0.12777874,0.00000851987,0.000048107606,0.0000049172527,2.2014433e-7,0.00000537767,0.00001290575],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99615395,0.00023364779,0.001221856,0.00036888215,0.0018782573,0.0001434275],"domain_scores_gemma":[0.99056315,0.0013051465,0.0025325539,0.00048214028,0.0049924105,0.00012461697],"candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.015182238,0.000108495784,0.00029757048,0.0006487537,0.00087852794,0.00047114358,0.0018781951,0.0000345383,0.0000070707565],"category_scores_gemma":[0.010118295,0.00008161237,0.000107098065,0.00027884785,0.00040301905,0.0017746652,0.00026988838,0.00014403307,0.0000014928966],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0021668589,0.001019066,0.067892104,0.000014125639,0.00047680584,0.00034310727,0.03126062,0.74552226,0.024125837,0.013382296,0.000027563698,0.11376933],"study_design_scores_gemma":[0.000979578,0.00034574553,0.006968588,0.000047645794,0.000046298257,0.0020510997,0.012933121,0.9460954,0.00008082224,0.030369245,0.0000147223955,0.000067710185],"about_ca_topic_score_codex":0.0002965295,"about_ca_topic_score_gemma":0.00026997583,"teacher_disagreement_score":0.35473007,"about_ca_system_score_codex":0.00014966026,"about_ca_system_score_gemma":0.00031257528,"threshold_uncertainty_score":0.9982199},"labels":[],"label_agreement":null},{"id":"W2772425521","doi":"10.24900/ijss/01034660.2017.1201","title":"Advancing Safety by In-Depth Assessment of Workers Attention and Perception","year":2017,"lang":"en","type":"article","venue":"International Journal of Safety Science","topic":"Occupational Health and Safety Research","field":"Health Professions","cited_by":10,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Perception; Psychology; Workplace safety; Applied psychology; Cognitive psychology; Environmental science; Occupational safety and health; Political science; Law","score_opus":0.0453434429766885,"score_gpt":0.5203068471314606,"score_spread":0.47496340415477206,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2772425521","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9651175,0.00006511159,0.0062114587,0.013712687,0.0023798419,0.00032972725,0.000031064254,0.0000044348626,0.012148183],"genre_scores_gemma":[0.9960016,0.0006778322,0.002838153,0.00012605771,0.00017708048,0.000003791047,0.0000050027247,0.0000052350065,0.00016522844],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99706644,0.00015433542,0.0009280732,0.00017640578,0.001357488,0.00031727727],"domain_scores_gemma":[0.9968422,0.00042182507,0.0010524922,0.00017465174,0.0013123696,0.00019645668],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005539212,0.00007966653,0.00020357757,0.0003453821,0.0008118635,0.000032317017,0.00076994253,0.000062396066,0.00013017199],"category_scores_gemma":[0.0011395372,0.00006734685,0.00004887189,0.00013840794,0.0004187838,0.0012015922,0.00022182318,0.0005291012,0.0000061748347],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00039350928,0.000051609648,0.9517012,0.000030021445,0.000008423981,0.0000047066346,0.00025292672,0.00005232598,0.0048812227,0.0010382871,0.0001498557,0.041435912],"study_design_scores_gemma":[0.0011592782,0.00009830854,0.9936546,0.00051636685,0.000002973402,0.000010174907,0.00090929796,0.001697873,0.00001065759,0.00046577767,0.001419358,0.00005533105],"about_ca_topic_score_codex":0.00042417212,"about_ca_topic_score_gemma":0.00019344654,"teacher_disagreement_score":0.041953404,"about_ca_system_score_codex":0.0007900324,"about_ca_system_score_gemma":0.0014518845,"threshold_uncertainty_score":0.62442803},"labels":[],"label_agreement":null},{"id":"W2789665199","doi":"10.24900/ijss/0201104114.2018.0301","title":"A method for uncertainty assessment and communication in safety-driven design - a case study of unmanned merchant vessel","year":2018,"lang":"en","type":"article","venue":"International Journal of Safety Science","topic":"Maritime Navigation and Safety","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Aeronautics; Computer science; Engineering; Reliability engineering; Marine engineering","score_opus":0.036928564128090986,"score_gpt":0.38352778565456586,"score_spread":0.3465992215264749,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2789665199","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.32840487,0.00004791572,0.6698578,0.0005860813,0.00030784588,0.00039012078,0.000017263257,0.000011222709,0.00037686917],"genre_scores_gemma":[0.9000773,0.00007710399,0.09975914,0.000031859778,0.000038609975,0.000005370519,0.0000012754882,0.000005636056,0.0000037430357],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99858075,0.00012445892,0.000611123,0.00011163046,0.00045324065,0.00011878992],"domain_scores_gemma":[0.99827254,0.00045140032,0.0002129539,0.00012399803,0.0008708148,0.00006827898],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003022629,0.00008312563,0.00018443663,0.0003246971,0.000100148,0.000035566605,0.00040500754,0.000028550663,0.00001841616],"category_scores_gemma":[0.00011963987,0.000074401956,0.000032267406,0.00029230266,0.00016937447,0.00036813653,0.00007876282,0.0001454544,3.114167e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0018866768,0.0012615726,0.006630564,0.000076623604,0.00045486997,0.00044506456,0.03729232,0.7363142,0.035519034,0.019179652,0.00018789126,0.16075157],"study_design_scores_gemma":[0.0028658272,0.0005911003,0.014646057,0.00015798646,0.000022461147,0.0010089454,0.005378075,0.9724522,0.0009404333,0.0014057863,0.0004006184,0.00013049926],"about_ca_topic_score_codex":0.00015560049,"about_ca_topic_score_gemma":0.00016346271,"teacher_disagreement_score":0.5716724,"about_ca_system_score_codex":0.00026426563,"about_ca_system_score_gemma":0.00015827805,"threshold_uncertainty_score":0.30340236},"labels":[],"label_agreement":null},{"id":"W2791359125","doi":"10.24900/ijss/0201115124.2018.0301","title":"Missing no Interaction—Using STPA for Identifying Hazardous Interactions of Automated Driving Systems","year":2018,"lang":"en","type":"article","venue":"International Journal of Safety Science","topic":"Risk and Safety Analysis","field":"Decision Sciences","cited_by":18,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Hazardous waste; Computer science; Engineering; Waste management","score_opus":0.14551857424741588,"score_gpt":0.4850441482099697,"score_spread":0.33952557396255384,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2791359125","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.35343823,0.000107210224,0.62417936,0.0017905717,0.017879235,0.00015735358,0.00002931751,0.000039514754,0.0023792123],"genre_scores_gemma":[0.9816597,0.000030376003,0.017191684,0.000049316306,0.00085683406,8.753521e-7,9.293272e-7,0.000009029943,0.00020127003],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9943791,0.00013235395,0.002004867,0.00034195711,0.0028804196,0.0002612709],"domain_scores_gemma":[0.9838836,0.0014864313,0.002485052,0.00030265015,0.01167699,0.00016524162],"candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.006651802,0.00014082024,0.00040770957,0.0017541625,0.00053338334,0.0007901767,0.0021423686,0.00004267259,0.00016232337],"category_scores_gemma":[0.008439856,0.00010959701,0.0003474111,0.0013897186,0.000622209,0.0031657883,0.00021643454,0.00019327113,0.00004556081],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0016598724,0.0005209713,0.01691813,0.000033381424,0.000969182,0.00007331695,0.0066209463,0.11533358,0.70480114,0.005388672,0.0036225084,0.14405829],"study_design_scores_gemma":[0.00061159045,0.0001578163,0.007689302,0.000638142,0.00007111865,0.0006147837,0.002980079,0.963363,0.008763864,0.0036633993,0.01125073,0.00019617904],"about_ca_topic_score_codex":0.00009414053,"about_ca_topic_score_gemma":0.000031060037,"teacher_disagreement_score":0.84802943,"about_ca_system_score_codex":0.00042893089,"about_ca_system_score_gemma":0.00056083663,"threshold_uncertainty_score":0.9999125},"labels":[],"label_agreement":null},{"id":"W2791961815","doi":"10.24900/ijss/02017483.2018.0301","title":"Maritime Spatial Planning as a tool for ecosystem-based adaptive safety management of maritime transportation system in the Gulf of Finland (Baltic Sea)","year":2018,"lang":"en","type":"article","venue":"International Journal of Safety Science","topic":"Maritime Navigation and Safety","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Baltic sea; Environmental resource management; Ecosystem; Maritime safety; Marine ecosystem; Ecosystem-based management; Adaptive management; Marine spatial planning; Spatial planning; Geography; Oceanography; Environmental planning; Environmental science; Ecology; Geology","score_opus":0.010798981182628559,"score_gpt":0.2568031377126936,"score_spread":0.24600415653006502,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2791961815","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.2897885,0.000106298154,0.6955045,0.00059500727,0.001745285,0.00093778427,0.0007176552,0.000027570584,0.010577386],"genre_scores_gemma":[0.9950507,0.00001041263,0.0047400817,0.000039358554,0.000113758346,0.000007281956,0.000016355323,0.000008407055,0.000013635083],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9977713,0.00004575424,0.0009331074,0.00013095782,0.00095088116,0.00016795876],"domain_scores_gemma":[0.99850774,0.000243728,0.0003462133,0.00012029445,0.00073749374,0.000044525874],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0018379885,0.000113723756,0.00023245036,0.00028346438,0.00006665773,0.000029036923,0.000668361,0.000045463592,0.000065961176],"category_scores_gemma":[0.00004501246,0.00009401682,0.00011263009,0.00031224432,0.00014586542,0.00029476272,0.000014017694,0.000119877004,0.0000038222124],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.010565761,0.00061334076,0.0400874,0.0025546271,0.000945293,0.0004214125,0.007613257,0.74077845,0.006122401,0.117485434,0.0004684598,0.072344154],"study_design_scores_gemma":[0.0053919284,0.00060398213,0.33348253,0.0039926763,0.00010077366,0.00012892738,0.001809852,0.6462969,0.0049875136,0.00086916215,0.0020023836,0.0003333528],"about_ca_topic_score_codex":0.00004839279,"about_ca_topic_score_gemma":0.00004850366,"teacher_disagreement_score":0.7052622,"about_ca_system_score_codex":0.00024257565,"about_ca_system_score_gemma":0.00013658164,"threshold_uncertainty_score":0.38338944},"labels":[],"label_agreement":null},{"id":"W2793335499","doi":"10.24900/ijss/020194103.2018.0301","title":"Modelling Multiple Levels of Abstraction in Hierarchical Control Structures","year":2018,"lang":"en","type":"article","venue":"International Journal of Safety Science","topic":"Advanced Control Systems Optimization","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Abstraction; Computer science; Control (management); Multilevel model; Artificial intelligence; Machine learning; Epistemology","score_opus":0.013325487880606224,"score_gpt":0.2623484310484909,"score_spread":0.2490229431678847,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2793335499","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.21083811,0.00003684781,0.7875682,0.000079697165,0.0010394407,0.000046258832,0.0000102917575,0.0000083232035,0.000372844],"genre_scores_gemma":[0.9883592,0.000013730568,0.011346956,0.000013236121,0.00025805255,4.5427092e-7,2.618517e-7,0.000005649574,0.0000024363558],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9987667,0.000013161978,0.00050240185,0.00007625665,0.00052899896,0.00011243646],"domain_scores_gemma":[0.9989719,0.000104298895,0.00019597949,0.000061312785,0.00062217587,0.00004436853],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004656826,0.000061448525,0.00012899608,0.0003269661,0.000026899197,0.000020661766,0.0003628671,0.000029934543,0.000017454611],"category_scores_gemma":[0.00017772982,0.000055657856,0.000035314923,0.00018025881,0.00016198047,0.00068094593,0.000013037448,0.00013954763,0.000001478257],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000091449016,0.0000070724573,0.00067151815,0.0000021751557,0.000012798978,0.0000031469635,0.00015955808,0.9578835,0.03625939,0.00084108225,0.0000010659166,0.0040672594],"study_design_scores_gemma":[0.0010753764,0.000031135023,0.0148608135,0.00005400926,0.0000024146575,0.00004389924,0.00003109182,0.975879,0.0056503895,0.0022615322,0.0000587807,0.000051520277],"about_ca_topic_score_codex":0.000013388962,"about_ca_topic_score_gemma":0.000008837714,"teacher_disagreement_score":0.77752113,"about_ca_system_score_codex":0.00018273086,"about_ca_system_score_gemma":0.00006507031,"threshold_uncertainty_score":0.22696614},"labels":[],"label_agreement":null},{"id":"W2793456627","doi":"10.24900/ijss/02018493.2018.0301","title":"Documentation of Assumptions and System Vulnerability Monitoring: the Case of System Theoretic Process Analysis (STPA)","year":2018,"lang":"en","type":"article","venue":"International Journal of Safety Science","topic":"Supply Chain Resilience and Risk Management","field":"Business, Management and Accounting","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Documentation; Vulnerability (computing); Process (computing); Computer science; Data mining; Computer security; Programming language","score_opus":0.011575233894720139,"score_gpt":0.3090966670187961,"score_spread":0.297521433124076,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2793456627","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99087083,0.000043472402,0.0063510146,0.00039137324,0.000766116,0.000116062176,0.0000039052347,0.000007516938,0.0014497255],"genre_scores_gemma":[0.999384,0.00001443066,0.00015066676,0.000017550297,0.00042029488,0.0000022768572,6.810194e-7,0.0000027450758,0.0000073683873],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9984591,0.00002333363,0.0005500242,0.00014315089,0.0007193858,0.00010502599],"domain_scores_gemma":[0.99701655,0.00009374524,0.0008892758,0.00014855304,0.0018367701,0.000015077861],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0023710718,0.000074698306,0.0001662066,0.00056983763,0.00022863474,0.00015387581,0.00061734754,0.000016972766,0.000021758102],"category_scores_gemma":[0.0001393849,0.000046339468,0.0000829536,0.0010517855,0.00072876626,0.0011767132,0.00012407731,0.00006668954,0.000002608237],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00048138402,0.00025344203,0.56312734,0.0010690653,0.0010130133,0.00020728367,0.0031778833,0.015099218,0.0029060864,0.395918,0.00003540657,0.016711831],"study_design_scores_gemma":[0.0021183135,0.00021900782,0.6530527,0.001717828,0.002310357,0.0009634561,0.14368741,0.1789471,0.009624127,0.006523007,0.0003503914,0.00048633624],"about_ca_topic_score_codex":0.00030814434,"about_ca_topic_score_gemma":0.000024769613,"teacher_disagreement_score":0.38939503,"about_ca_system_score_codex":0.00010138921,"about_ca_system_score_gemma":0.0000475326,"threshold_uncertainty_score":0.26851696},"labels":[],"label_agreement":null},{"id":"W2886031661","doi":"10.24900/ijss/0202125141.2018.0601","title":"Assessing Process Safety Culture Maturity for Specialty Gas Operations","year":2018,"lang":"en","type":"article","venue":"International Journal of Safety Science","topic":"Risk and Safety Analysis","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Maturity (psychological); Process (computing); Specialty; Safety culture; Business; Process management; Computer science; Psychology; Management; Economics; Developmental psychology; Psychiatry","score_opus":0.0746517813651869,"score_gpt":0.463725837528438,"score_spread":0.3890740561632511,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2886031661","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.18181767,0.00017570407,0.74763525,0.034379452,0.008240201,0.00033106023,0.00014128265,0.00003043996,0.02724896],"genre_scores_gemma":[0.9762407,0.00014118009,0.020372994,0.0005137207,0.002246396,0.0000015876458,0.0000036431352,0.0000067028977,0.00047310398],"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99367136,0.00010074004,0.0014179862,0.0004310105,0.0040759225,0.0003029726],"domain_scores_gemma":[0.98649704,0.0004581082,0.0007595241,0.00031290037,0.011738949,0.00023348515],"candidate_categories":["scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.008609551,0.00015219254,0.0003388553,0.00067580864,0.0010245184,0.0015526953,0.0034307868,0.000070944974,0.00045910565],"category_scores_gemma":[0.007995692,0.00010137194,0.00030343977,0.0016386332,0.0009918029,0.0046581132,0.0001692891,0.00025112057,0.000070958675],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0034074474,0.0010275596,0.021945024,0.0000147145165,0.0005276766,0.00010868504,0.02005648,0.04289529,0.021933524,0.09998091,0.01295042,0.77515227],"study_design_scores_gemma":[0.003978046,0.0008483755,0.1405179,0.00036632206,0.00017405754,0.0010767655,0.013968549,0.11592173,0.021210449,0.43414596,0.266724,0.0010678691],"about_ca_topic_score_codex":0.0000147988085,"about_ca_topic_score_gemma":0.00017215588,"teacher_disagreement_score":0.794423,"about_ca_system_score_codex":0.00026494972,"about_ca_system_score_gemma":0.00108702,"threshold_uncertainty_score":0.99948376},"labels":[],"label_agreement":null},{"id":"W2887189697","doi":"10.24900/ijss/0202158167.2018.0601","title":"Spectral Estimation of Nitrogen status in Wheat crops using Remote Sensing","year":2018,"lang":"en","type":"article","venue":"International Journal of Safety Science","topic":"Remote Sensing in Agriculture","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Estimation; Nitrogen; Environmental science; Remote sensing; Agronomy; Agricultural engineering; Geography; Chemistry; Engineering; Biology","score_opus":0.011022754288222452,"score_gpt":0.2748190143851426,"score_spread":0.26379626009692014,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2887189697","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9696411,0.000010404389,0.026595013,0.00034973226,0.00077851326,0.000050450384,0.0000021156932,0.000004253381,0.0025684366],"genre_scores_gemma":[0.8593948,0.000011238712,0.14037995,0.000059354108,0.00013942101,2.1548887e-9,4.0577092e-7,0.000004030643,0.00001081142],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9978476,0.000039921706,0.0005064638,0.0001704625,0.0011953218,0.0002402214],"domain_scores_gemma":[0.99908006,0.000043764278,0.0004286393,0.00010889422,0.00024311704,0.00009550542],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008647581,0.00009057679,0.00013669772,0.00019518938,0.000082667975,0.000051081886,0.000470364,0.00003528866,0.00009281112],"category_scores_gemma":[0.00033388106,0.000071935574,0.00005498363,0.00059898087,0.00084901915,0.0007514057,0.00013957274,0.00015268139,0.000017925615],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001772937,0.000043472188,0.016182462,0.0000024043482,0.000016280006,0.00007766779,0.0017593454,0.12447562,0.6993057,0.00006642173,0.000060752955,0.1578326],"study_design_scores_gemma":[0.0006823123,0.00015110245,0.27323157,0.0002910431,0.000012639865,0.0013242301,0.00030103585,0.58611935,0.13080072,0.0066313497,0.00026122673,0.00019341342],"about_ca_topic_score_codex":0.0008768656,"about_ca_topic_score_gemma":0.00019983928,"teacher_disagreement_score":0.568505,"about_ca_system_score_codex":0.0009194623,"about_ca_system_score_gemma":0.00012387535,"threshold_uncertainty_score":0.31282464},"labels":[],"label_agreement":null},{"id":"W2887922555","doi":"10.24900/ijss/0202142153.2018.0601","title":"Analysis of Scheduling Algorithms base on Fairness Index, Packet Loss Rate & Delay in 4G Wireless Network","year":2018,"lang":"en","type":"article","venue":"International Journal of Safety Science","topic":"Telecommunications and Broadcasting Technologies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Computer science; Max-min fairness; Computer network; Maximum throughput scheduling; Fairness measure; Index (typography); Base station; Scheduling (production processes); Algorithm; Base (topology); Wireless; Round-robin scheduling; Mathematics; Mathematical optimization; Dynamic priority scheduling; Quality of service; Telecommunications; Throughput","score_opus":0.019406839551842886,"score_gpt":0.2874465025093139,"score_spread":0.26803966295747106,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2887922555","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9034681,0.00006049261,0.09535493,0.00034694694,0.00049801584,0.000028425726,0.000009749338,0.000030759664,0.00020263225],"genre_scores_gemma":[0.985499,0.00016433014,0.014192235,0.00003025677,0.00010048986,9.299636e-7,0.0000022590743,0.000006246477,0.0000042244133],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9986711,0.00002852861,0.00053440576,0.000118175725,0.00045978316,0.00018802016],"domain_scores_gemma":[0.99858713,0.00020913956,0.0002532473,0.0002581253,0.00064802414,0.00004433382],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014015018,0.000093682254,0.00021401345,0.0009923142,0.00007280049,0.000048930353,0.0013502614,0.000049809998,0.000026895284],"category_scores_gemma":[0.00029227196,0.00008208079,0.00008158277,0.0020773797,0.0004294473,0.00033050007,0.00013973647,0.00026836508,0.0000040107734],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007184283,0.0000625876,0.04154901,0.0000034044065,0.00023468724,0.000018367955,0.00032274442,0.91180235,0.0028909617,0.0014015451,0.000025509587,0.04161698],"study_design_scores_gemma":[0.00052901485,0.00008281514,0.18428794,0.0003269052,0.000050819075,0.000049318278,0.00023115036,0.80791813,0.004358178,0.0013865328,0.0005761989,0.00020298838],"about_ca_topic_score_codex":0.00002666241,"about_ca_topic_score_gemma":0.00013710576,"teacher_disagreement_score":0.14273892,"about_ca_system_score_codex":0.00018496798,"about_ca_system_score_gemma":0.000076714925,"threshold_uncertainty_score":0.33471575},"labels":[],"label_agreement":null},{"id":"W2887976565","doi":"10.24900/ijss/0202154157.2018.0601","title":"Investigation of groundwater quality variations along Wadi Najran, Najran, Kingdom of Saudi Arabia","year":2018,"lang":"en","type":"article","venue":"International Journal of Safety Science","topic":"Groundwater and Isotope Geochemistry","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Wadi; Geography; Archaeology","score_opus":0.03120305321224355,"score_gpt":0.27468400428571194,"score_spread":0.2434809510734684,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2887976565","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.989306,0.00003769203,0.005899994,0.00078936684,0.0013654401,0.0000533248,0.000044127264,0.000005408689,0.002498659],"genre_scores_gemma":[0.9963591,0.000017504264,0.0031039792,0.00012832806,0.00032025148,1.5138654e-7,0.00001659987,0.0000020390514,0.000052042495],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99740386,0.00006946358,0.00091867615,0.00018147987,0.0012320731,0.00019447693],"domain_scores_gemma":[0.99702543,0.00016442555,0.00080668426,0.00016129676,0.0017131798,0.00012897236],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0022112294,0.00010390484,0.00021209694,0.00023882356,0.00013656453,0.00006938142,0.0009827967,0.000048169393,0.0006922414],"category_scores_gemma":[0.00035276357,0.000081682236,0.00010202742,0.00040368282,0.0010642027,0.0010600137,0.000040014533,0.0001366874,0.000020230245],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00026037256,0.000040003913,0.9088666,0.000025442356,0.00007194128,0.000006643736,0.001935223,0.0004540657,0.080078185,0.0013788348,0.000083933664,0.0067987917],"study_design_scores_gemma":[0.0004388471,0.0001714689,0.9289703,0.00009378577,0.000013631375,0.000083844745,0.000112194975,0.00090102886,0.063424125,0.0051425844,0.0005468207,0.00010140653],"about_ca_topic_score_codex":0.0023126288,"about_ca_topic_score_gemma":0.0004170595,"teacher_disagreement_score":0.020103699,"about_ca_system_score_codex":0.000029842995,"about_ca_system_score_gemma":0.00035819798,"threshold_uncertainty_score":0.75795585},"labels":[],"label_agreement":null},{"id":"W2911382733","doi":"10.24900/ijss/02021681721.2018.0601","title":"On the professional pressure of physical education teachers in Colleges and universities in Guizhou","year":2018,"lang":"en","type":"article","venue":"International Journal of Safety Science","topic":"Educational Reforms and Innovations","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Physical education; Mathematics education; Medical education; Professional development; Pedagogy; Psychology; Sociology; Political science; Medicine","score_opus":0.0070287685045851474,"score_gpt":0.29576828209233863,"score_spread":0.28873951358775346,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2911382733","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98323864,0.00000824576,0.000012139449,0.005940602,0.0003379271,0.00004992721,0.000003199411,6.4237065e-7,0.010408681],"genre_scores_gemma":[0.9990805,0.0000066335206,0.00018363004,0.00021397919,0.00006906769,9.858798e-7,3.559096e-7,0.0000013495122,0.00044353268],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.99908906,0.000021081632,0.00018694306,0.000079966776,0.0005536599,0.000069308626],"domain_scores_gemma":[0.99949276,0.0001236516,0.00016067534,0.00005183144,0.00014621175,0.000024870613],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006337374,0.000040394298,0.00005548617,0.00016481402,0.00006640391,0.000012919706,0.00039326426,0.000013677419,0.00017934007],"category_scores_gemma":[0.00017221626,0.00002503994,0.000015091408,0.0004063721,0.00074516365,0.000491232,0.00008185504,0.00011242915,0.000004016666],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00033051134,0.0015066188,0.2933106,0.0000052722553,0.000027771219,0.0000030386743,0.034342095,0.002678974,0.028180502,0.6164857,0.0030091787,0.020119714],"study_design_scores_gemma":[0.00020389653,0.000108143155,0.97677094,0.00011348369,0.0000019435029,0.000009733952,0.006391513,0.0007140037,0.0013472483,0.01082958,0.0034650888,0.000044423567],"about_ca_topic_score_codex":0.00010912232,"about_ca_topic_score_gemma":0.00004539335,"teacher_disagreement_score":0.68346035,"about_ca_system_score_codex":0.0002311215,"about_ca_system_score_gemma":0.0004028593,"threshold_uncertainty_score":0.27455866},"labels":[],"label_agreement":null},{"id":"W2947073799","doi":"10.24900/ijss/0301199209.2019.0501","title":"An analysis and improvement of deep mining real time for search over random forest","year":2019,"lang":"en","type":"article","venue":"International Journal of Safety Science","topic":"Advanced Decision-Making Techniques","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Random forest; Computer science; Data mining; Artificial intelligence","score_opus":0.008530219442061423,"score_gpt":0.3343753406886904,"score_spread":0.32584512124662895,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2947073799","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.42347887,0.00000807261,0.5760842,0.0001199918,0.00013221684,0.00007520045,0.0000032224295,0.0000076150523,0.00009061326],"genre_scores_gemma":[0.7451832,0.000020308136,0.25470865,0.00003878049,0.000032775228,8.5898785e-7,5.230094e-7,0.0000026730866,0.000012225179],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9978879,0.00001999173,0.00048789912,0.00025219377,0.0011918499,0.00016013534],"domain_scores_gemma":[0.99756604,0.0004640122,0.0004372695,0.00027595778,0.0011632756,0.00009342746],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0022509953,0.00007787573,0.00022274813,0.0007434755,0.00006078603,0.00012938357,0.0019343959,0.000024271032,0.000016159807],"category_scores_gemma":[0.00020889947,0.00006247521,0.00010966021,0.0005761754,0.00015163774,0.0016199667,0.00029325378,0.000069140595,9.835028e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0011887503,0.00022083013,0.07460203,0.000010872749,0.00035912855,0.00002701299,0.001856198,0.037496418,0.39036462,0.028535893,0.000017845345,0.4653204],"study_design_scores_gemma":[0.0015493776,0.00077406206,0.106884845,0.000065239044,0.000030469593,0.000042573858,0.00006877934,0.85950893,0.018887734,0.01197851,0.00007015956,0.00013933978],"about_ca_topic_score_codex":0.000018566521,"about_ca_topic_score_gemma":0.000007209955,"teacher_disagreement_score":0.8220125,"about_ca_system_score_codex":0.00013044082,"about_ca_system_score_gemma":0.00014650002,"threshold_uncertainty_score":0.3594621},"labels":[],"label_agreement":null},{"id":"W2947432535","doi":"10.24900/ijss/0301189198.2019.0501","title":"SUBSPACE CLUSTERING ANALYSIS USING DBSCAN AND SUBCLU FOR PROJECTING STMIK JAKARTA ALUMNI JOB","year":2019,"lang":"en","type":"article","venue":"International Journal of Safety Science","topic":"Data Mining and Machine Learning Applications","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Cluster analysis; DBSCAN; Subspace topology; Computer science; Artificial intelligence; Fuzzy clustering","score_opus":0.016743408105029008,"score_gpt":0.329906611545044,"score_spread":0.313163203440015,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2947432535","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.40170756,0.00003303981,0.5962404,0.0012498563,0.0004507856,0.000078744306,0.0000061962096,0.0000146685925,0.00021871571],"genre_scores_gemma":[0.8621376,0.000014085977,0.13756168,0.00010274848,0.000091125024,0.000001307913,0.0000013887808,0.0000044532676,0.00008556846],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9984555,0.00002766341,0.00036271015,0.00030811137,0.00063991983,0.00020608582],"domain_scores_gemma":[0.99830425,0.00022965149,0.00045403518,0.00025493966,0.0006555865,0.000101563586],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001930392,0.00009258972,0.00017645485,0.00066994823,0.00020927502,0.00042052558,0.0016187144,0.000022932974,0.000005551299],"category_scores_gemma":[0.00025795345,0.00008281431,0.000094964824,0.00093827647,0.00010238409,0.0013440088,0.00030641878,0.00015463014,0.0000028342292],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00025329206,0.00020550027,0.43844938,0.000054966775,0.0011937459,0.000029323037,0.01442046,0.24277589,0.07922865,0.056496684,0.00017422921,0.16671787],"study_design_scores_gemma":[0.0004682934,0.00009086224,0.04965562,0.00006103845,0.00005468851,0.00020962334,0.00030435735,0.9467736,0.00048017586,0.00039622374,0.0013546253,0.00015090533],"about_ca_topic_score_codex":0.00009315849,"about_ca_topic_score_gemma":0.000025698551,"teacher_disagreement_score":0.7039977,"about_ca_system_score_codex":0.0001273467,"about_ca_system_score_gemma":0.0002379226,"threshold_uncertainty_score":0.4055138},"labels":[],"label_agreement":null},{"id":"W2947617829","doi":"10.24900/ijss/0301173188.2019.0501","title":"A quantitative assessment tool for process safety performance by implementing a proposed capability maturity framework","year":2019,"lang":"en","type":"article","venue":"International Journal of Safety Science","topic":"Risk and Safety Analysis","field":"Decision Sciences","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Capability Maturity Model; Process management; Process capability; Process (computing); Maturity (psychological); Computer science; Systems engineering; Reliability engineering; Engineering; Operations management; Work in process; Psychology; Software","score_opus":0.03467799870594856,"score_gpt":0.4364513643845466,"score_spread":0.40177336567859806,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2947617829","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.84300834,0.000046617715,0.14894637,0.0053320033,0.0011456579,0.00038748412,0.00012252756,0.0000097410975,0.001001245],"genre_scores_gemma":[0.9600989,0.000089720284,0.039322324,0.0002186145,0.000107156346,0.0000045227343,0.000004943397,0.0000074441045,0.00014637476],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9918843,0.00015203704,0.0018682905,0.0005800133,0.0050604767,0.000454865],"domain_scores_gemma":[0.98988587,0.0020435106,0.0017382499,0.00040683127,0.0057691815,0.00015635736],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01862311,0.00019007595,0.0004816747,0.00048817974,0.0004752611,0.0005118194,0.0032086005,0.00006976472,0.0006162623],"category_scores_gemma":[0.005264125,0.00013269078,0.00033035464,0.0013398876,0.00043014452,0.00264207,0.00025331258,0.00041792676,0.000038716706],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.005891458,0.00095704594,0.67179877,0.00007834267,0.000512166,0.000014335566,0.0067422134,0.018126462,0.018703312,0.048310418,0.0012398986,0.2276256],"study_design_scores_gemma":[0.0039967247,0.001828874,0.45530882,0.00052602525,0.000110132954,0.00013860174,0.009196361,0.2655555,0.009144232,0.22314343,0.030056344,0.0009949526],"about_ca_topic_score_codex":0.0000144068445,"about_ca_topic_score_gemma":0.000007708934,"teacher_disagreement_score":0.24742904,"about_ca_system_score_codex":0.00046724442,"about_ca_system_score_gemma":0.0011354125,"threshold_uncertainty_score":0.67476404},"labels":[],"label_agreement":null},{"id":"W4250663538","doi":"10.24900/ijss/02010000.2018.0301","title":"Editorial for Special Issue on 5th European STAMP Workshop (ESW) 2017","year":2018,"lang":"en","type":"article","venue":"International Journal of Safety Science","topic":"Academic Publishing and Open Access","field":"Decision Sciences","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Computer science","score_opus":0.08772088909137812,"score_gpt":0.45461440438994466,"score_spread":0.3668935152985665,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4250663538","genre_codex":"editorial","genre_gemma":"editorial","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"editorial","genre_consensus":"editorial","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.023974558,0.000025010933,0.02096759,0.024603372,0.7404787,0.00020501616,0.0000912601,0.000020403413,0.18963408],"genre_scores_gemma":[0.33620164,0.000022220418,0.0015674661,0.0010809067,0.65872455,5.9720685e-7,0.0000013035406,0.000009441369,0.0023918832],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99212885,0.00013201602,0.0010368343,0.0004139967,0.0059760474,0.0003122665],"domain_scores_gemma":[0.99124855,0.0013991846,0.0011252268,0.0003094371,0.0056542996,0.0002632895],"candidate_categories":["metaresearch","scholarly_communication","open_science"],"consensus_categories":[],"category_scores_codex":[0.01919489,0.0001309061,0.00022223742,0.00050287147,0.0004361272,0.002126755,0.009304678,0.000069887436,0.00067954196],"category_scores_gemma":[0.028041499,0.00008923945,0.00015368273,0.0007256743,0.00084634987,0.0039007503,0.00047995287,0.00045051464,0.00048887957],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005854772,0.00003707682,0.0002872437,2.1246784e-7,0.000011717344,0.000008220643,0.00056362525,0.00010748899,0.00019339206,0.0016458989,0.8801858,0.116373874],"study_design_scores_gemma":[0.0007014782,0.00019283537,0.0037737945,0.00005569198,0.000003977845,0.000040427876,0.00038705862,0.00026602944,0.00047428935,0.0084844725,0.9855053,0.0001146349],"about_ca_topic_score_codex":0.0000065515665,"about_ca_topic_score_gemma":0.000008063159,"teacher_disagreement_score":0.31222707,"about_ca_system_score_codex":0.00021823024,"about_ca_system_score_gemma":0.00050075725,"threshold_uncertainty_score":0.9989091},"labels":[],"label_agreement":null},{"id":"W4253192017","doi":"10.24900/ijss/0202168172.2018.0601","title":"On the professional pressure of physical education teachers in Colleges and universities in Guizhou","year":2018,"lang":"en","type":"article","venue":"International Journal of Safety Science","topic":"Educational Reforms and Innovations","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Physical education; Professional development; Pedagogy; Psychology; Mathematics education; Medical education; Sociology; Medicine","score_opus":0.0070287685045851474,"score_gpt":0.29576828209233863,"score_spread":0.28873951358775346,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4253192017","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98323864,0.00000824576,0.000012139449,0.005940602,0.0003379271,0.00004992721,0.000003199411,6.4237065e-7,0.010408681],"genre_scores_gemma":[0.9990805,0.0000066335206,0.00018363004,0.00021397919,0.00006906769,9.858798e-7,3.559096e-7,0.0000013495122,0.00044353268],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.99908906,0.000021081632,0.00018694306,0.000079966776,0.0005536599,0.000069308626],"domain_scores_gemma":[0.99949276,0.0001236516,0.00016067534,0.00005183144,0.00014621175,0.000024870613],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006337374,0.000040394298,0.00005548617,0.00016481402,0.00006640391,0.000012919706,0.00039326426,0.000013677419,0.00017934007],"category_scores_gemma":[0.00017221626,0.00002503994,0.000015091408,0.0004063721,0.00074516365,0.000491232,0.00008185504,0.00011242915,0.000004016666],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00033051134,0.0015066188,0.2933106,0.0000052722553,0.000027771219,0.0000030386743,0.034342095,0.002678974,0.028180502,0.6164857,0.0030091787,0.020119714],"study_design_scores_gemma":[0.00020389653,0.000108143155,0.97677094,0.00011348369,0.0000019435029,0.000009733952,0.006391513,0.0007140037,0.0013472483,0.01082958,0.0034650888,0.000044423567],"about_ca_topic_score_codex":0.00010912232,"about_ca_topic_score_gemma":0.00004539335,"teacher_disagreement_score":0.68346035,"about_ca_system_score_codex":0.0002311215,"about_ca_system_score_gemma":0.0004028593,"threshold_uncertainty_score":0.27455866},"labels":[],"label_agreement":null}]}