{"id":"W3013489322","doi":"10.25318/82-003-x201901200003-eng","title":"Cohort profile: The Canadian Census Health and Environment Cohorts (CanCHECs)","year":2019,"lang":"en","type":"article","venue":"PubMed","topic":"Food Security and Health in Diverse Populations","field":"Health Professions","cited_by":46,"is_retracted":false,"has_abstract":true,"ca_institutions":"Statistics Canada","funders":"","keywords":"Census; Geography; Socioeconomic status; Population; American Community Survey; Record linkage; Health care; Environmental health; Data collection; Demography; Cohort; Population health; Medicine; Statistics; Economic growth","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"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":[0.002795473,0.001180423,0.001068888,0.005158219,0.002503978,0.001636502,0.002755322,0.000815898,0.03016927],"category_scores_gemma":[0.01325526,0.0006486665,0.001399866,0.010576,0.0002798794,0.0008180938,0.001833428,0.001598145,0.006162826],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01010191,"about_ca_system_score_gemma":0.04253924,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9527846,"about_ca_topic_score_gemma":0.9586105,"domain_scores_codex":[0.9982631,0.0001717457,0.0001967304,0.000302645,0.0006785388,0.0003873337],"domain_scores_gemma":[0.9917761,0.0002405993,0.0004472423,0.000704109,0.006168998,0.0006629882],"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":[0.0003841707,0.00004920846,0.04628954,0.0005890563,0.0002808758,0.00005863853,0.00017516,0.0003597237,0.0001341006,0.002375122,0.9307747,0.01852974],"study_design_scores_gemma":[0.0007001974,0.00008610797,0.4392281,0.001237682,0.0004372102,0.0001966727,0.0005607757,0.001167866,0.0003454016,0.002229613,0.553629,0.000181145],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.003622529,0.0003248931,0.0008749969,0.0003826636,0.000102938,0.0007835927,0.9886925,0.0001617092,0.005054167],"genre_scores_gemma":[0.02129782,0.001111674,0.004268867,0.0005727521,0.0000953376,0.00346196,0.9599414,0.0001982668,0.00905199],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0472154,"threshold_uncertainty_score":0.1009263,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1002906583072488,"score_gpt":0.3502229218219882,"score_spread":0.2499322635147394,"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."}}