{"id":"W6926066111","doi":"10.25318/1110023901-fra","title":"Revenu des particuliers selon le groupe d'âge, le genre et la source de revenu, Canada, provinces et certaines régions métropolitaines de recensement","year":2019,"lang":"fr","type":"dataset","venue":"Statistics Canada Dissemination","topic":"","field":"","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Population; Research methodology; Legislation; Context (archaeology)","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001964079,0.001208685,0.001033804,0.0003127207,0.001226512,0.0003540828,0.000906206,0.0004759514,0.00007873181],"category_scores_gemma":[0.005495294,0.001453222,0.0001050603,0.0008604671,0.0006027983,0.0003759124,0.0002434855,0.001055377,0.00003030366],"about_ca_system_candidate":true,"about_ca_system_consensus":true,"about_ca_system_score_codex":0.01124472,"about_ca_system_score_gemma":0.03645573,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9962494,"about_ca_topic_score_gemma":0.9998541,"domain_scores_codex":[0.9907318,0.002878947,0.001360522,0.001207958,0.001817868,0.002002866],"domain_scores_gemma":[0.9927192,0.002709988,0.001405411,0.001073882,0.001143718,0.0009477818],"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":[0.000102972,0.0003189618,0.001830929,0.002235139,0.0003547575,0.0006381209,0.00101293,0.003427631,0.0008701901,0.01060653,0.9768056,0.001796298],"study_design_scores_gemma":[0.0008151961,0.0001940637,0.03497209,0.001934954,0.0008984559,0.0002475744,0.008764757,0.002590562,0.0006561176,0.0018685,0.9451028,0.001954919],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.01092901,0.001105183,0.006718337,0.004554563,0.0007377429,0.001470537,0.9742866,0.00005415527,0.0001439084],"genre_scores_gemma":[0.05338733,0.0009207413,0.009521081,0.0006757216,0.0002056536,0.0003676444,0.9256079,0.0003723175,0.008941591],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.04867864,"threshold_uncertainty_score":0.9987917,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009958229507569256,"score_gpt":0.2811758856112951,"score_spread":0.2712176561037259,"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."}}