{"id":"W7033241250","doi":"","title":"Pour une cybersanté contributive à la réduction des inégalités sociales de santé : identification et exploration des facteurs de conversion pour un outil de cybersanté s’adressant aux proches aidants de personnes âgées en perte d’autonomie","year":2020,"lang":"fr","type":"other","venue":"Corpus Université Laval (Université Laval)","topic":"Marine Sponges and Natural Products","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Fonds de Recherche du Québec - Santé","keywords":"Economic Justice; Social justice; Population; Identity (music)","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"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":[0.003662233,0.0005647145,0.0004643206,0.002056786,0.0023601,0.004738964,0.0009073624,0.001257256,0.01246975],"category_scores_gemma":[0.01692559,0.0003378987,0.001073019,0.001814612,0.00430767,0.003552092,0.003580852,0.002683792,0.0006761998],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003239265,"about_ca_system_score_gemma":0.006173613,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01034761,"about_ca_topic_score_gemma":0.0152639,"domain_scores_codex":[0.9964747,0.001669469,0.0001837277,0.0004894712,0.0007341045,0.0004484608],"domain_scores_gemma":[0.9877331,0.006036382,0.003690705,0.0004011981,0.001239951,0.0008986308],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"qualitative","study_design_scores_codex":[0.0003993147,0.000483189,0.6565812,0.001982301,0.0004083974,0.001285659,0.1404737,0.0002929259,0.0009427202,0.03716997,0.004805618,0.155175],"study_design_scores_gemma":[0.00002896099,0.0002562623,0.7384285,0.003065354,0.0004577192,0.001412123,0.2025842,0.001019214,0.001077538,0.01228552,0.03926188,0.0001226943],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9571074,0.006801446,0.00268064,0.009642295,0.0002353252,0.0001401763,0.00041462,0.00002242361,0.02295558],"genre_scores_gemma":[0.992385,0.002603376,0.001161638,0.0005077723,0.00004980059,0.00008995133,0.0001293712,0.00001027331,0.003062712],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01246975,"threshold_uncertainty_score":0.04171544,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01894460417666081,"score_gpt":0.2437528076118188,"score_spread":0.224808203435158,"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."}}