{"id":"W6926316134","doi":"10.25345/c5w08ws8j","title":"MassIVE MSV000093292 - Lambert_SAINT4723_SAINT4724_BioID_Fusion_P134_VS12","year":2023,"lang":"en","type":"dataset","venue":"UC San Diego","topic":"Construction Engineering and Safety","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université Laval","funders":"","keywords":"Identification (biology); Process (computing); Work (physics); Set (abstract data type)","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001269381,0.003735275,0.002221574,0.004743619,0.001797175,0.003397237,0.003934434,0.004810611,0.1539156],"category_scores_gemma":[0.007136775,0.001117418,0.002255775,0.005620972,0.0007350999,0.001509522,0.002457964,0.002115516,0.1842869],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00182662,"about_ca_system_score_gemma":0.004023883,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0358595,"about_ca_topic_score_gemma":0.05988248,"domain_scores_codex":[0.9986656,0.0001808489,0.00009608496,0.000452096,0.0003329628,0.0002724257],"domain_scores_gemma":[0.9974526,0.0008544206,0.0001728299,0.0005504787,0.0006086245,0.0003609804],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001032545,0.00001910411,0.0006185984,0.0005326699,0.00004247058,0.00002217616,0.0000209896,0.0002819711,0.0001938491,0.0003850945,0.9961499,0.001629919],"study_design_scores_gemma":[0.0006195182,0.00004465671,0.004056355,0.0003627263,0.0001113818,0.00009693727,0.00008832437,0.001113473,0.0008812891,0.002746616,0.9898128,0.00006599027],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001747696,0.0001341881,0.00009051849,0.00008751435,0.00004940733,0.00001003853,0.9974962,0.0009442981,0.001013058],"genre_scores_gemma":[0.0004689466,0.00006768121,0.0003357053,0.00009945022,0.00001102595,0.0000470086,0.997838,0.0001817205,0.0009505444],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1539156,"threshold_uncertainty_score":0.5148989,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007502974264852285,"score_gpt":0.2069335446076031,"score_spread":0.1994305703427509,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}