{"id":"W7099860475","doi":"","title":"DEPARTEMENT DE MEDECINE SOCIALE ET PREVENTIVE","year":2015,"lang":"en","type":"article","venue":"","topic":"Diverse Scientific and Economic Studies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Public health; Work (physics); MEDLINE; Health care; Government (linguistics)","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.002533396,0.0008736428,0.001460672,0.001703049,0.002281063,0.002593117,0.001213764,0.004372525,0.1309482],"category_scores_gemma":[0.01118277,0.0003576691,0.0006646782,0.001097444,0.001242555,0.001235605,0.002548243,0.005634717,0.02900588],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004954688,"about_ca_system_score_gemma":0.01476522,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02680637,"about_ca_topic_score_gemma":0.02934883,"domain_scores_codex":[0.9971861,0.0008608143,0.0001427812,0.0005303267,0.0006962772,0.0005837476],"domain_scores_gemma":[0.9867749,0.003018508,0.0007204882,0.0004916455,0.00215041,0.006843988],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003530092,0.0004140362,0.01402774,0.0009717481,0.0001089736,0.0007368503,0.00184794,0.0003763872,0.0007325125,0.03850832,0.5689148,0.3730076],"study_design_scores_gemma":[0.00009741562,0.0001765728,0.04000366,0.000891894,0.00001972749,0.0009492497,0.0007863625,0.0003542736,0.0004591162,0.006878375,0.9493367,0.00004655492],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"other","genre_scores_codex":[0.02328874,0.1860939,0.00580553,0.3986211,0.0312599,0.0004885062,0.008567393,0.001166446,0.3447084],"genre_scores_gemma":[0.2405525,0.08693346,0.01093147,0.02211873,0.01394282,0.0006281459,0.002732852,0.0004392913,0.6217208],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.8690518,"threshold_uncertainty_score":0.4380655,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1016059574358752,"score_gpt":0.2624764062816384,"score_spread":0.1608704488457633,"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."}}