{"id":"W2143276617","doi":"10.24095/hpcdp.34.4.06","title":"Quebec Integrated Chronic Disease Surveillance System (QICDSS), an innovative approach","year":2014,"lang":"en","type":"article","venue":"Chronic diseases and injuries in Canada","topic":"Chronic Disease Management Strategies","field":"Medicine","cited_by":160,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Rimouski; Université de Sherbrooke; Université Laval; Institut National de Santé Publique du Québec","funders":"Public Health Agency; Public Health Agency of Canada","keywords":"Medicine; Chronic disease; Polypharmacy; Disease surveillance; Disease; Population; Family medicine; Gerontology; Environmental health; Intensive care medicine; Pathology","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":true,"about_ca":true,"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":[0.006834178,0.0009480556,0.0006709804,0.008912377,0.00137337,0.002828259,0.002194266,0.0006350472,0.006808225],"category_scores_gemma":[0.01876857,0.0004612375,0.0007035442,0.01605022,0.0004442516,0.0011458,0.001412525,0.0008980638,0.001325917],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02731374,"about_ca_system_score_gemma":0.05910433,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9704792,"about_ca_topic_score_gemma":0.9647931,"domain_scores_codex":[0.9956833,0.001295564,0.0005362701,0.0007833529,0.001410336,0.0002911568],"domain_scores_gemma":[0.9827318,0.001754467,0.001811257,0.001220757,0.01154908,0.0009326752],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.0003490353,0.0001221202,0.3572142,0.001405566,0.0006035813,0.0001994677,0.0008990717,0.00774444,0.0007018241,0.01190226,0.3696911,0.2491673],"study_design_scores_gemma":[0.000223616,0.0001295672,0.6072197,0.0013754,0.0002977888,0.0001969453,0.0007892113,0.02957177,0.0007469907,0.003349984,0.3559287,0.0001703038],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.04637456,0.005106683,0.05972838,0.01159619,0.0005400231,0.005785896,0.8195312,0.002925549,0.04841154],"genre_scores_gemma":[0.2990642,0.004803022,0.1797352,0.003670372,0.0003754507,0.005709687,0.4885723,0.0003005801,0.01776912],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9726863,"threshold_uncertainty_score":0.198176,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009892784950417002,"score_gpt":0.2500433695585094,"score_spread":0.2401505846080924,"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."}}