{"id":"W4402862203","doi":"10.70010/nkup8051","title":"Recherche-action visant le développement d’un modèle d’intervention préventive en SST par et pour les préposés aux bénéficiaires en CHSLD","year":2024,"lang":"fr","type":"report","venue":"","topic":"Health, Medicine and Society","field":"Health Professions","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Physics; Political science; Humanities; Philosophy","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":[0.03686361,0.001245596,0.002505206,0.00155852,0.002937382,0.005682508,0.002824127,0.002072586,0.01333457],"category_scores_gemma":[0.03696211,0.0005363536,0.002825693,0.001780316,0.002766764,0.002878958,0.003167921,0.003997353,0.001349114],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02626384,"about_ca_system_score_gemma":0.09917414,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.380033,"about_ca_topic_score_gemma":0.4973177,"domain_scores_codex":[0.9827579,0.01285366,0.0005084767,0.0009602571,0.001991941,0.0009277763],"domain_scores_gemma":[0.9658025,0.01921632,0.002045322,0.001688791,0.008108643,0.003138391],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"qualitative","study_design_scores_codex":[0.003639649,0.004070127,0.0990837,0.033867,0.003366539,0.0006796625,0.05025953,0.01184518,0.002257245,0.09455655,0.04277179,0.653603],"study_design_scores_gemma":[0.002915594,0.009619524,0.1991719,0.09833398,0.01191794,0.0006608628,0.05524367,0.02991869,0.005899816,0.07682135,0.5087957,0.0007009995],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.3754529,0.2021663,0.0866485,0.1909122,0.003917031,0.01209668,0.005353684,0.000648656,0.1228041],"genre_scores_gemma":[0.7519217,0.07727078,0.1186152,0.01529878,0.0006414212,0.01003684,0.001963568,0.0001329227,0.0241188],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.619967,"threshold_uncertainty_score":0.7556419,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4650391830756607,"score_gpt":0.5284343511588276,"score_spread":0.06339516808316692,"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."}}