{"id":"W5335809","doi":"10.1021/bi00869a022","title":"Reflection on reforms: developing criminal accountability for industrial deaths","year":2004,"lang":"en","type":"article","venue":"","topic":"Regulation and Compliance Studies","field":"Business, Management and Accounting","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Accountability; Reflection (computer programming); Political science; Criminology; Law; Sociology; Computer science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.02501691,0.0003107734,0.0003075263,0.001743764,0.007458984,0.007715828,0.001851784,0.005149781,0.002965048],"category_scores_gemma":[0.07547592,0.0003071158,0.0003952704,0.001226125,0.02091209,0.008170499,0.01032386,0.006888496,0.0003069832],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02364685,"about_ca_system_score_gemma":0.05721857,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.07892748,"about_ca_topic_score_gemma":0.09362488,"domain_scores_codex":[0.9796094,0.01347803,0.0006307428,0.0009947934,0.002374062,0.002912918],"domain_scores_gemma":[0.9674488,0.01417928,0.004685929,0.002663462,0.00762377,0.003398756],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"qualitative","study_design_scores_codex":[0.00002441477,0.0001891161,0.01529019,0.0002341608,0.00001807233,0.0005344299,0.2132006,0.002324905,0.0009311379,0.6111473,0.02994392,0.1261618],"study_design_scores_gemma":[0.00006727511,0.0003229327,0.05277873,0.001230418,0.0000533867,0.0003340835,0.2208958,0.004480779,0.00508877,0.164115,0.5504814,0.0001515246],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.292744,0.00288929,0.04494864,0.4036425,0.000899545,0.001086927,0.00005785077,0.0003155456,0.2534156],"genre_scores_gemma":[0.9576238,0.0008940815,0.01010793,0.01094065,0.0002043529,0.0001659682,0.00003217607,0.00004726433,0.01998385],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.07892748,"threshold_uncertainty_score":0.1715707,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1910695812479294,"score_gpt":0.338123734988072,"score_spread":0.1470541537401425,"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."}}