{"id":"W6888856183","doi":"10.25318/3910004501-fra","title":"Nombre de propriétés résidentielles, par période de construction et statut de résidence, provinces de la Colombie-Britannique et de l'Ontario et leurs régions métropolitaines de recensement","year":2019,"lang":"fr","type":"dataset","venue":"Statistics Canada Dissemination","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Context (archaeology); Census; Population; German","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":[0.0008872278,0.001268772,0.001325236,0.006190719,0.001119209,0.001982272,0.001806278,0.0007797687,0.03728649],"category_scores_gemma":[0.009048223,0.0008113304,0.001013582,0.01792342,0.0005127203,0.0007924787,0.001139302,0.001317528,0.01951526],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01003796,"about_ca_system_score_gemma":0.01992795,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9382794,"about_ca_topic_score_gemma":0.9598874,"domain_scores_codex":[0.9988164,0.00008463595,0.000166006,0.000233818,0.0004366133,0.0002626386],"domain_scores_gemma":[0.9938991,0.0009524483,0.0006547351,0.0004749581,0.003497934,0.0005208515],"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":[0.00007056869,0.00001161359,0.01209998,0.0009413165,0.0000702874,0.00002570564,0.0001380273,0.0003263963,0.00007538746,0.0005390882,0.9822857,0.003415878],"study_design_scores_gemma":[0.0001971197,0.00001483948,0.1684072,0.0007738348,0.00009344199,0.0000729382,0.0007605592,0.0004643376,0.0002600492,0.0004261298,0.8284633,0.00006628659],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0003243433,0.00006904285,0.00002168988,0.00004289234,0.000008191832,0.00000649724,0.9988666,0.00003839854,0.0006224993],"genre_scores_gemma":[0.002180159,0.0002679499,0.0002068868,0.00004169362,0.000007859743,0.00007902799,0.9942819,0.00003457535,0.002899967],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.06172061,"threshold_uncertainty_score":0.1247357,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01836081524238725,"score_gpt":0.3231224896082304,"score_spread":0.3047616743658431,"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."}}