{"id":"W3112650967","doi":"10.13016/m2ihgl-l6f5","title":"A Data-driven Human Responsibility Management System","year":2020,"lang":"en","type":"preprint","venue":"arXiv (Cornell University)","topic":"Occupational Health and Safety Research","field":"Health Professions","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Accountability; Internet of Things; Damages; Risk analysis (engineering); Order (exchange); Management system; Big data; Business; Computer security; Social responsibility; Process management; Computer science; Public relations; Engineering; Operations management; Political science; Finance","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":[0.003189621,0.0009390743,0.0008304347,0.001492732,0.001240999,0.002787746,0.002282795,0.001057393,0.006653392],"category_scores_gemma":[0.006277646,0.0004917277,0.0006190597,0.0009808798,0.0004590897,0.002498355,0.002903046,0.001224867,0.003849535],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001206421,"about_ca_system_score_gemma":0.002370477,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004864628,"about_ca_topic_score_gemma":0.002744834,"domain_scores_codex":[0.9979771,0.000303354,0.00030966,0.0006624723,0.0006163559,0.0001310818],"domain_scores_gemma":[0.9958997,0.000893696,0.0003339903,0.001101904,0.001233071,0.0005377009],"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":[0.002379835,0.001984406,0.0317369,0.001030361,0.000468117,0.001615182,0.001680135,0.04657996,0.03232335,0.0304207,0.2218631,0.6279179],"study_design_scores_gemma":[0.0003929407,0.0003143818,0.009619192,0.0001353673,0.0001747512,0.0005033009,0.0003226137,0.734678,0.03715154,0.03241073,0.1840497,0.0002474687],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04452977,0.0008444089,0.6837714,0.00312304,0.00107792,0.002418168,0.01320355,0.2270932,0.02393848],"genre_scores_gemma":[0.6702845,0.0006041391,0.2819359,0.001583422,0.0003344436,0.002003411,0.02400647,0.002486843,0.01676074],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006653392,"threshold_uncertainty_score":0.0222578,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4153189992282147,"score_gpt":0.3959596156547996,"score_spread":0.0193593835734151,"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."}}