{"id":"W3125509383","doi":"10.31235/osf.io/4qwzh","title":"Opportunity, Motivation, and Ability to Learn from Failures and Errors: Review, Synthesis, and Ways to Move Forward","year":2018,"lang":"en","type":"article","venue":"","topic":"Supply Chain Resilience and Risk Management","field":"Business, Management and Accounting","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"","keywords":"Spurious relationship; Punitive damages; Product (mathematics); Scale (ratio); Risk analysis (engineering); Computer science; Psychology; Business; Political science; Machine learning","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":[0.00651715,0.001221119,0.003433259,0.009226511,0.0006823833,0.00513762,0.001615717,0.002226182,0.003410206],"category_scores_gemma":[0.02429137,0.0008255749,0.002071845,0.01046716,0.001845278,0.005812275,0.001761893,0.002664059,0.0004770079],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004026522,"about_ca_system_score_gemma":0.0126524,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007592869,"about_ca_topic_score_gemma":0.01534463,"domain_scores_codex":[0.9971584,0.001056735,0.0007234831,0.0003305113,0.0005987316,0.0001321],"domain_scores_gemma":[0.9669922,0.02687377,0.002820569,0.000330387,0.002622385,0.0003606815],"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":[0.0001469824,0.00008400194,0.001229754,0.4043361,0.001295752,0.0001147045,0.001418373,0.000399855,0.0001929782,0.01661471,0.01869147,0.5554754],"study_design_scores_gemma":[0.00004567621,0.0002494511,0.007870994,0.5458194,0.00473748,0.00048613,0.002395744,0.000288247,0.0002517412,0.01496522,0.4227735,0.0001164519],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.00008549873,0.999047,0.00005902617,0.0005359612,0.0001072022,0.000006867451,0.00001339526,0.000001508879,0.0001434365],"genre_scores_gemma":[0.001369238,0.997893,0.0001472099,0.00036314,0.0001246611,0.00002271557,0.00001816009,0.000001168963,0.00006072426],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.009226511,"threshold_uncertainty_score":0.03446645,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02820570680910822,"score_gpt":0.2528424799114807,"score_spread":0.2246367731023725,"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."}}