{"id":"W7025095313","doi":"","title":"Troubles musculosquelettiques chez les ferrailleurs : facteurs de risque et pistes de prévention","year":2022,"lang":"fr","type":"article","venue":"","topic":"Occupational Health and Performance","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institut de recherche Robert-Sauvé en santé et en sécurité du travail","funders":"","keywords":"Risk factor; Set (abstract data type); Term (time); Identification (biology)","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":[0.0006598991,0.0005249737,0.0006011314,0.001897702,0.001025459,0.001029988,0.0004364068,0.001229258,0.006189276],"category_scores_gemma":[0.003104019,0.0002727099,0.0005287069,0.001038111,0.0007154138,0.000843932,0.0006399266,0.0008960138,0.0008022453],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009553532,"about_ca_system_score_gemma":0.001122848,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01000044,"about_ca_topic_score_gemma":0.01215466,"domain_scores_codex":[0.9990538,0.0001774353,0.00009082201,0.0001274151,0.0003611023,0.0001893507],"domain_scores_gemma":[0.9983512,0.00033901,0.0008253625,0.00004118744,0.0003006639,0.0001426087],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004947651,0.0004731628,0.8581787,0.002047948,0.0002410202,0.008940946,0.002038958,0.0003752009,0.004150854,0.001598043,0.003482613,0.1179777],"study_design_scores_gemma":[0.00002930376,0.0006852665,0.9274022,0.00231523,0.0002864104,0.0406543,0.003661552,0.0006045858,0.001575227,0.001271698,0.02143823,0.00007592674],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8646734,0.1032314,0.003617774,0.005105145,0.0002480412,0.0002031191,0.0007646413,0.0001066973,0.02204975],"genre_scores_gemma":[0.9718223,0.0203886,0.001501457,0.0004652693,0.0002133187,0.00007200828,0.0004079181,0.00001446908,0.00511473],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01000044,"threshold_uncertainty_score":0.02070522,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07285779219561894,"score_gpt":0.4253795998288804,"score_spread":0.3525218076332614,"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."}}