{"id":"W6930118758","doi":"10.5281/zenodo.10524882","title":"Guide d'accompagnement à la méthode des cas en psychoéducation","year":2022,"lang":"fr","type":"other","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Retinal Diseases and Treatments","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval","funders":"","keywords":"Medium term; Context (archaeology); Scope (computer science)","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":[0.02548393,0.001798045,0.001132288,0.004301781,0.002523442,0.004142642,0.003009215,0.002506965,0.1255469],"category_scores_gemma":[0.04794191,0.001553893,0.001418432,0.002207923,0.002751786,0.003352357,0.004910781,0.004683736,0.05054169],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002649085,"about_ca_system_score_gemma":0.01354835,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005850898,"about_ca_topic_score_gemma":0.01661397,"domain_scores_codex":[0.9783456,0.01338488,0.0019583,0.001450612,0.00420043,0.0006601306],"domain_scores_gemma":[0.9679828,0.01581333,0.001087686,0.004408307,0.009381643,0.001326222],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0005246315,0.001264785,0.001018466,0.003163067,0.00004304202,0.0006684224,0.01836065,0.0003295163,0.005098616,0.02262198,0.228872,0.7180348],"study_design_scores_gemma":[0.0002549816,0.000250084,0.00163721,0.001914036,0.0000415365,0.0008032981,0.003207264,0.000607055,0.004463455,0.007590225,0.979118,0.0001129318],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"other","genre_scores_codex":[0.01275517,0.005401582,0.6842008,0.01394164,0.004235439,0.06045133,0.005176603,0.01531093,0.1985264],"genre_scores_gemma":[0.0107323,0.002998873,0.804836,0.002724695,0.0002275258,0.04670817,0.00141164,0.00216108,0.1281997],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.1255469,"threshold_uncertainty_score":0.4199962,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05045590151515068,"score_gpt":0.3173589330308917,"score_spread":0.266903031515741,"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."}}