{"id":"W6945510808","doi":"10.25318/3310000101-fra","title":"Nombre et valeur d'évaluation des propriétés résidentielles, par type de propriété, statut de résidence et nombre de propriétaires, région métropolitaine de Toronto et Vancouver et leurs subdivisions de recensement","year":2019,"lang":"fr","type":"dataset","venue":"Statistics Canada Dissemination","topic":"Wheat and Barley Genetics and Pathology","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Census; Context (archaeology); Value (mathematics); Race (biology)","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":[0.001600339,0.001475077,0.001564905,0.005080873,0.00112717,0.002074603,0.001656259,0.001066428,0.02254609],"category_scores_gemma":[0.01202226,0.0006258195,0.001176484,0.01189944,0.0005544342,0.0008200821,0.001099273,0.001525327,0.01684983],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006376135,"about_ca_system_score_gemma":0.009192656,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.6854738,"about_ca_topic_score_gemma":0.801518,"domain_scores_codex":[0.9981461,0.0002326653,0.0002261621,0.0005442443,0.0005320549,0.0003188738],"domain_scores_gemma":[0.9935776,0.002014031,0.0005305944,0.0007651249,0.002654896,0.0004577151],"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":[0.0001799443,0.00002079855,0.0264586,0.001278413,0.0001709709,0.00005118563,0.0001271907,0.0008351045,0.0002050916,0.0005118458,0.9640864,0.006074417],"study_design_scores_gemma":[0.0002873031,0.00002592327,0.1624684,0.0006832703,0.0001912466,0.0001315804,0.000575303,0.0008453178,0.0006516665,0.0006442016,0.8334264,0.000069279],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0009747496,0.0001485429,0.00005658906,0.00004922843,0.00001426584,0.000005529934,0.9980999,0.00007634246,0.0005748412],"genre_scores_gemma":[0.003388966,0.0001718745,0.0002687863,0.00003520511,0.000006886029,0.00003988964,0.9944032,0.00004136048,0.001643803],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.3145262,"threshold_uncertainty_score":0.632757,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0432081856253785,"score_gpt":0.3184080254376915,"score_spread":0.275199839812313,"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."}}