{"id":"W3089779248","doi":"10.24095/hpcdp.29.4.02f","title":"Réseau intersectoriel pour la prévention des maladies chroniques : le cas de l’Alberta Healthy Living Network","year":2009,"lang":"fr","type":"article","venue":"Maladies chroniques au Canada","topic":"Health disparities and outcomes","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Public Health Agency of Canada","funders":"","keywords":"Humanities; Political science; Art","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001487522,0.000586133,0.000769939,0.00008763382,0.002153695,0.0002653808,0.0005285942,0.0004267267,0.002444391],"category_scores_gemma":[0.00051307,0.0006629238,0.0002539018,0.0004595101,0.0008202385,0.0006438944,0.0001329868,0.0006276019,0.00001198648],"about_ca_system_candidate":true,"about_ca_system_consensus":true,"about_ca_system_score_codex":0.01427589,"about_ca_system_score_gemma":0.01858907,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9922411,"about_ca_topic_score_gemma":0.9997754,"domain_scores_codex":[0.9938062,0.001278591,0.0008395006,0.0006341015,0.0005239456,0.002917611],"domain_scores_gemma":[0.9965345,0.001574425,0.0003697422,0.0003782813,0.0002083579,0.0009346572],"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":[0.00008717024,0.0002404697,0.2002641,0.004317475,0.0001942484,0.0001905734,0.02519022,0.0004821558,0.000004549803,0.2019467,0.5476943,0.01938799],"study_design_scores_gemma":[0.0003107515,0.0003669046,0.2285858,0.005520226,0.0000806774,0.0000535452,0.006770414,0.0005717343,0.00007303481,0.004888429,0.7519453,0.0008331877],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.3245801,0.06867796,0.001040922,0.1905095,0.007102107,0.001278871,0.00008564956,0.0003574844,0.4063675],"genre_scores_gemma":[0.8233889,0.0204815,0.002060104,0.011986,0.004716523,0.000076345,0.00001721455,0.00008058614,0.1371928],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.4988089,"threshold_uncertainty_score":0.9995822,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01552253039132636,"score_gpt":0.289330053455097,"score_spread":0.2738075230637707,"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."}}