{"id":"W1510471353","doi":"10.4000/pistes.2459","title":"Analyse des facteurs socioculturels et survenue des troubles musculosquelettiques : le cas des couturières en Tunisie","year":2010,"lang":"fr","type":"article","venue":"Perspectives interdisciplinaires sur le travail et la santé","topic":"Multiculturalism, Politics, Migration, Gender","field":"Social Sciences","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Political science; Humanities; Philosophy","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":[0.001495871,0.0002422994,0.0003607728,0.001862559,0.001910175,0.001899044,0.000463165,0.0005738912,0.004223097],"category_scores_gemma":[0.002523788,0.0002328269,0.0002846653,0.002429281,0.001910139,0.0007975742,0.0009735572,0.00048532,0.0001915783],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003041608,"about_ca_system_score_gemma":0.002700364,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1362913,"about_ca_topic_score_gemma":0.2061513,"domain_scores_codex":[0.9992274,0.0002347525,0.00006195232,0.0001092814,0.00009669374,0.0002698788],"domain_scores_gemma":[0.9986202,0.000456403,0.0004447197,0.00004314914,0.0002771372,0.0001584448],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001234667,0.00005820021,0.8894029,0.0002200529,0.00007180286,0.002309886,0.07574182,0.0001694921,0.001316828,0.001219885,0.0005466841,0.02881897],"study_design_scores_gemma":[0.000002614637,0.00006493455,0.9010621,0.0001070807,0.00002808449,0.000740609,0.09363613,0.0001213925,0.0002502933,0.0002083172,0.00376474,0.00001366921],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9968845,0.0009146646,0.0001093339,0.0004650185,0.00001127818,0.000006879492,0.00009919907,0.000001621973,0.001507515],"genre_scores_gemma":[0.9982292,0.0006529459,0.0000891694,0.00004766735,0.00001420285,0.000007743017,0.00004338953,0.000001159943,0.0009146568],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1362913,"threshold_uncertainty_score":0.270996,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05539335636864096,"score_gpt":0.4191554547670659,"score_spread":0.363762098398425,"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."}}