{"id":"W3022598423","doi":"","title":"Screening and Selecting Safe Contractors and Subcontractors","year":2017,"lang":"en","type":"article","venue":"ASSE Professional Development Conference and Exposition","topic":"Law, Economics, and Judicial Systems","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"PCL Construction (Canada)","funders":"","keywords":"Business; Construction engineering; Operations management; Risk analysis (engineering); Forensic engineering; Computer science; Engineering","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005893552,0.0001490645,0.000348747,0.00009137613,0.001178215,0.0003992954,0.0001009287,0.0001412981,0.00004775366],"category_scores_gemma":[0.00008543323,0.0001785143,0.00002210725,0.00001974907,0.0001342245,0.0007859934,0.0001147034,0.0001541752,0.00001597872],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003630091,"about_ca_system_score_gemma":0.00004933987,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003008129,"about_ca_topic_score_gemma":0.0001295747,"domain_scores_codex":[0.9987781,0.00001913759,0.0004981337,0.0004059181,0.00004098971,0.0002577457],"domain_scores_gemma":[0.9991142,0.00007386043,0.0005000396,0.0001305198,0.00004300375,0.0001383419],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00006148496,0.00004699147,0.8346638,0.00006397173,0.00008862995,0.000004886521,0.002709369,2.81174e-7,0.0005942722,0.1376464,0.0001003202,0.02401958],"study_design_scores_gemma":[0.000871242,0.00003803101,0.9764141,0.0002151576,0.000006711845,0.00001285537,0.0005591605,0.0005184612,0.0004989484,0.01784555,0.002663145,0.0003565678],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9906799,0.000559258,0.00114098,0.0007040814,0.0006231389,0.0002275766,0.00001521814,0.00002108641,0.006028754],"genre_scores_gemma":[0.9981453,0.0003312281,0.0007233458,0.0001440169,0.0001131309,0.00002986659,0.00002492514,0.00001292659,0.000475253],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1417504,"threshold_uncertainty_score":0.9062,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04859751805752163,"score_gpt":0.2563619159328919,"score_spread":0.2077643978753703,"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."}}