{"id":"W6945041688","doi":"10.25318/3310000201-fra","title":"Nombre et valeur d'évaluation des propriétés résidentielles, par statut de copropriété et statut de résidence, région métropolitaine de Toronto et Vancouver et leurs subdivisions de recensement","year":2019,"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":"Census; Context (archaeology); Value (mathematics); Quarter (Canadian coin)","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":[0.001076056,0.001443757,0.001332743,0.004312345,0.0009805799,0.001891163,0.001532921,0.0009071312,0.03092939],"category_scores_gemma":[0.01071777,0.0006045518,0.0009926187,0.009804321,0.000472315,0.0008599861,0.0009941303,0.001395736,0.02402587],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005265124,"about_ca_system_score_gemma":0.007100915,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.6382681,"about_ca_topic_score_gemma":0.7561719,"domain_scores_codex":[0.9985527,0.000154201,0.0001785015,0.0004120273,0.0004520904,0.0002503616],"domain_scores_gemma":[0.9945515,0.001510794,0.0004481482,0.0006694326,0.002460364,0.0003598426],"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":[0.00009453296,0.00001313781,0.01396371,0.0008681946,0.00009011009,0.00002768178,0.00007658426,0.0006298442,0.0001315321,0.0004069701,0.9794914,0.004206231],"study_design_scores_gemma":[0.0002743477,0.00002005708,0.1219404,0.0005624042,0.0001140794,0.00009817908,0.0004330539,0.000910294,0.000536687,0.0007764109,0.8742729,0.00006127296],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0004755589,0.00007771212,0.00004055487,0.00003710853,0.0000119015,0.000004189654,0.9987746,0.00007872562,0.0004995837],"genre_scores_gemma":[0.00223474,0.0001216275,0.0002232124,0.00003117237,0.000006354237,0.00003452919,0.9961128,0.00003749012,0.001198164],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.3617319,"threshold_uncertainty_score":0.7277245,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04429108839971194,"score_gpt":0.3317820548017347,"score_spread":0.2874909664020227,"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."}}