{"id":"W4367157308","doi":"10.7202/1091919ar","title":"Machines-à-force-de-travail","year":2022,"lang":"fr","type":"article","venue":"Cahiers de recherche sociologique","topic":"Historical and Scientific Studies","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Humanities; Appropriation; Art; Philosophy; Epistemology","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":[0.006591586,0.0007734715,0.000801687,0.001905631,0.006028746,0.01395807,0.002350661,0.005659146,0.04213118],"category_scores_gemma":[0.01583935,0.0006573726,0.001176371,0.002161243,0.01943706,0.01802921,0.006949321,0.003958288,0.008733442],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004935884,"about_ca_system_score_gemma":0.004408033,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008513295,"about_ca_topic_score_gemma":0.005354258,"domain_scores_codex":[0.9932287,0.003344624,0.0002133472,0.001421801,0.001262736,0.0005287046],"domain_scores_gemma":[0.9877034,0.006619273,0.0006896592,0.003296032,0.001079444,0.0006120937],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001299692,0.00001221039,0.0004882411,0.00005263242,0.00001017192,0.0001331528,0.00487732,0.0004534973,0.00016945,0.9780426,0.005227887,0.01051982],"study_design_scores_gemma":[0.00002131832,0.00003063855,0.0005729335,0.0002702366,0.00001422721,0.000282157,0.004976833,0.003950689,0.000508463,0.5081894,0.4811502,0.00003272074],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.02262477,0.005265011,0.1457221,0.04310971,0.001084053,0.0001824497,0.0002722454,0.0006863701,0.7810532],"genre_scores_gemma":[0.7113655,0.00517812,0.05195437,0.004578063,0.0009293801,0.0004802213,0.0004148386,0.0006978769,0.2244017],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.04213118,"threshold_uncertainty_score":0.1409429,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1435462914982875,"score_gpt":0.3660574088600628,"score_spread":0.2225111173617754,"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."}}