{"id":"W7017059396","doi":"","title":"Analyse de la profession, analyste du chronométrage des tâches : contexte québécois, analyste des mouvements et des temps /","year":2015,"lang":"fr","type":"other","venue":"Bibliothèque et Archives nationales du Québec (Québec government)","topic":"Prenatal Screening and Diagnostics","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Power (physics); Context (archaeology); State (computer science); Contractualism","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":[0.003455367,0.0003232552,0.0002172799,0.00565869,0.00316105,0.002969956,0.0009430292,0.0005463783,0.01760313],"category_scores_gemma":[0.01638539,0.0002524352,0.0002860291,0.009913436,0.0009860017,0.0009623248,0.001114754,0.001103677,0.001652915],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.03514533,"about_ca_system_score_gemma":0.05530541,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9772981,"about_ca_topic_score_gemma":0.9850026,"domain_scores_codex":[0.9976654,0.0004528472,0.0001319943,0.0001865239,0.001059895,0.0005032679],"domain_scores_gemma":[0.9835418,0.003446629,0.001943514,0.0004567958,0.008806179,0.001805076],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0004332746,0.0001190544,0.4531234,0.0007771916,0.00009674164,0.0009409281,0.0878525,0.0007111509,0.001590144,0.01291053,0.146459,0.294986],"study_design_scores_gemma":[0.00001116001,0.00003642272,0.7741786,0.0003985807,0.00003134425,0.0001752875,0.04211348,0.0005225478,0.0006274581,0.0003269537,0.1815308,0.00004751316],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"other","genre_scores_codex":[0.707375,0.01176463,0.003759336,0.02255211,0.0005853001,0.0004048852,0.04494232,0.0004695546,0.2081469],"genre_scores_gemma":[0.852871,0.003267984,0.003235545,0.0009027914,0.0001102024,0.0001630992,0.00608547,0.0001752284,0.1331887],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.03514533,"threshold_uncertainty_score":0.2549984,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01565412111907584,"score_gpt":0.2689286072330695,"score_spread":0.2532744861139937,"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."}}