{"id":"W4363673276","doi":"10.1016/j.admp.2023.101723","title":"Actions de prévention des troubles musculosquelettiques associés au travail à l’ordinateur : quelle marge de manœuvre pour les conseillers en prévention ?","year":2023,"lang":"fr","type":"article","venue":"Archives des maladies professionnelles et de médecine du travail/Archives des maladies professionnelles et de l'environnement","topic":"Ergonomics and Musculoskeletal Disorders","field":"Psychology","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université de Montréal; Université du Québec à Montréal","funders":"","keywords":"Political science; Humanities; Philosophy","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":[0.003304876,0.0006999813,0.0007284839,0.0009720543,0.00261067,0.002397886,0.001261304,0.003492455,0.007345777],"category_scores_gemma":[0.007479066,0.0003070268,0.0008069479,0.0004869635,0.001359335,0.001629223,0.001273593,0.003045267,0.001121177],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00205467,"about_ca_system_score_gemma":0.01160516,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03053667,"about_ca_topic_score_gemma":0.04573625,"domain_scores_codex":[0.9978772,0.0008035376,0.00009582588,0.0001531314,0.000527741,0.0005425671],"domain_scores_gemma":[0.9940626,0.001406778,0.0008752101,0.0001875183,0.001371904,0.002096016],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0009769585,0.005594106,0.1866282,0.003072091,0.0003525036,0.001383546,0.02061924,0.0007915262,0.005705259,0.008406903,0.0231168,0.7433529],"study_design_scores_gemma":[0.0004643444,0.005936462,0.7702627,0.008389764,0.0006658655,0.002928476,0.04365651,0.001208222,0.003850695,0.008875759,0.1535358,0.0002253916],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5021421,0.123641,0.006238171,0.3176859,0.005135536,0.0003191198,0.000256044,0.0004186612,0.04416347],"genre_scores_gemma":[0.9093407,0.04598052,0.006778305,0.01496844,0.002489841,0.0002707423,0.0001308261,0.00004481631,0.01999583],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03053667,"threshold_uncertainty_score":0.06071788,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02607248727813472,"score_gpt":0.3280028335905257,"score_spread":0.301930346312391,"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."}}