{"id":"W6945280905","doi":"10.25318/9810033701-fra","title":"Minorité visible selon le revenu de la famille économique et le statut des générations : Canada, provinces et territoires, régions métropolitaines de recensement et agglomérations de recensement y compris les parties","year":2022,"lang":"fr","type":"dataset","venue":"Statistics Canada Dissemination","topic":"Species Distribution and Climate Change","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Population; Context (archaeology); Human rights; Government (linguistics); Public policy","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":[0.0008159124,0.0011972,0.001149618,0.004703633,0.00170467,0.002505386,0.00233954,0.001011443,0.02135433],"category_scores_gemma":[0.006933974,0.0006646854,0.0009101319,0.01396183,0.0005568811,0.000853016,0.001527631,0.00170997,0.009811031],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01174597,"about_ca_system_score_gemma":0.02647721,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9656773,"about_ca_topic_score_gemma":0.9797645,"domain_scores_codex":[0.9990126,0.00005619294,0.00008589354,0.000206169,0.0003450036,0.0002941384],"domain_scores_gemma":[0.9950017,0.0005858825,0.000424844,0.0004611189,0.002939074,0.0005872186],"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":[0.00006551867,0.00001755508,0.01418795,0.0004201442,0.00006349833,0.00003246652,0.0001663897,0.0003681663,0.00007895369,0.0007346377,0.9808673,0.002997319],"study_design_scores_gemma":[0.0001861665,0.00001033177,0.1648528,0.0006173892,0.00007918091,0.00007446407,0.0006993488,0.0005827568,0.0003514957,0.0007143572,0.8317708,0.00006096889],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0004664078,0.00005225951,0.00002196653,0.00005271838,0.000007872636,0.00000467867,0.9988425,0.00003906449,0.0005125715],"genre_scores_gemma":[0.002439799,0.00009911686,0.0001600032,0.00003893313,0.00000490544,0.00004535279,0.9953889,0.00002702305,0.001796039],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.03432268,"threshold_uncertainty_score":0.08522344,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01584292234028957,"score_gpt":0.2646761024233259,"score_spread":0.2488331800830363,"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."}}