{"id":"W6889010893","doi":"10.25318/3310000401-fra","title":"Nombre et valeur d'évaluation des propriétés résidentielles, par type de propriété, superficie habitable 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":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Moorland; Context (archaeology); Type (biology); Range (aeronautics)","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":[0.001238084,0.001501335,0.001406026,0.005156707,0.0009611777,0.0021263,0.001569199,0.001034808,0.03024278],"category_scores_gemma":[0.01320377,0.0006080701,0.001118399,0.01200376,0.0005221009,0.0009164608,0.00118148,0.001521495,0.02395906],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007233349,"about_ca_system_score_gemma":0.009504562,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.7752385,"about_ca_topic_score_gemma":0.862416,"domain_scores_codex":[0.9983751,0.0001942547,0.0002141719,0.0003698655,0.0005436089,0.0003028889],"domain_scores_gemma":[0.9930609,0.001709517,0.0005636932,0.0006682184,0.003519185,0.0004784937],"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":[0.00009090596,0.00001109251,0.01173051,0.0007829729,0.00006843577,0.00002203506,0.00007517504,0.0003946316,0.00007693296,0.0003710571,0.9827686,0.003607643],"study_design_scores_gemma":[0.0002835336,0.0000243386,0.1461009,0.0006957639,0.0001258638,0.0001012941,0.0006921774,0.0008428182,0.0004399905,0.0006917742,0.8499237,0.00007779206],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.000564412,0.0001186286,0.00003705929,0.00006816792,0.00001804345,0.000006061318,0.9984276,0.00007381648,0.0006861849],"genre_scores_gemma":[0.002745165,0.0001945028,0.0002307059,0.00004311858,0.00001075091,0.00004816215,0.9944252,0.0000391591,0.002263288],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.2247615,"threshold_uncertainty_score":0.4521704,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04267686547151643,"score_gpt":0.3421623706348473,"score_spread":0.2994855051633309,"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."}}