{"id":"W6945266796","doi":"10.25318/82-003-x201901200003-fra","title":"Profil de cohorte : Cohortes santé et environnement du recensement canadien (CSERCan)","year":2019,"lang":"fr","type":"article","venue":"Statistics Canada Dissemination","topic":"Environmental Justice and Health Disparities","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Population; Web site","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0463599,0.0006160103,0.001016833,0.003933338,0.001693422,0.002351909,0.001546995,0.000862029,0.00677893],"category_scores_gemma":[0.1353124,0.0005569336,0.002144164,0.009484123,0.0007465834,0.001352312,0.002742209,0.001753074,0.001110703],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004463445,"about_ca_system_score_gemma":0.01460708,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1660294,"about_ca_topic_score_gemma":0.1379335,"domain_scores_codex":[0.954923,0.0230978,0.006876916,0.003551588,0.009876803,0.001673859],"domain_scores_gemma":[0.9195574,0.03427135,0.01171812,0.01309939,0.0196448,0.001708864],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001001352,0.0001203436,0.7629622,0.003393372,0.003672495,0.0001744016,0.003813454,0.0008194593,0.0003905457,0.01331713,0.09105794,0.1192772],"study_design_scores_gemma":[0.000207082,0.0004877952,0.7043937,0.003471565,0.00141847,0.0005363205,0.002175366,0.001250896,0.00114844,0.003587161,0.2811702,0.0001531433],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.2013104,0.0318062,0.09620363,0.0130885,0.004241577,0.01641467,0.5815092,0.001228712,0.05419709],"genre_scores_gemma":[0.5974382,0.01591627,0.09534983,0.005285331,0.0009830531,0.06343936,0.1841914,0.0006082346,0.03678833],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8339706,"threshold_uncertainty_score":0.330126,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006701903642624672,"score_gpt":0.2749636560823919,"score_spread":0.2682617524397672,"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."}}