{"id":"W2077935813","doi":"10.7202/027932ar","title":"Caractères du lock-out","year":2005,"lang":"fr","type":"article","venue":"Relations industrielles","topic":"Health, Medicine and Society","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Lock (firearm); Humanities; Computer science; Political science; Philosophy; Engineering","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.007274652,0.0004647197,0.0005048434,0.002986602,0.005562875,0.004087651,0.002323548,0.002533562,0.08377624],"category_scores_gemma":[0.04780569,0.000415872,0.0006961405,0.002545858,0.003435617,0.003600784,0.004826544,0.003224727,0.006815339],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002200271,"about_ca_system_score_gemma":0.004858319,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01187146,"about_ca_topic_score_gemma":0.01344,"domain_scores_codex":[0.9934255,0.001566696,0.0004995897,0.0005317174,0.001397831,0.002578642],"domain_scores_gemma":[0.955127,0.01601592,0.01378125,0.003454368,0.003978902,0.007642472],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002408454,0.001358764,0.6847399,0.0006413241,0.00009686207,0.01019433,0.02525314,0.0003396388,0.002326484,0.04678258,0.05228986,0.1735687],"study_design_scores_gemma":[0.0002689962,0.001600964,0.4853781,0.002822062,0.0002342698,0.03154362,0.1777645,0.00211344,0.005099804,0.03763771,0.2552479,0.0002886032],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8785537,0.004600954,0.006172507,0.02162165,0.0007977472,0.0004769345,0.001458969,0.0003969875,0.08592055],"genre_scores_gemma":[0.9747968,0.0009645261,0.0009405686,0.002409384,0.000178137,0.0001006542,0.0004235684,0.0001577995,0.02002855],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08377624,"threshold_uncertainty_score":0.2802594,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06369234428140368,"score_gpt":0.3752669520997241,"score_spread":0.3115746078183204,"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."}}