{"id":"W6888974070","doi":"10.25318/3410015301-fra","title":"Société canadienne d'hypothèques et de logement, logements en construction dans les centres de 50 000 habitants et plus, pour Canada, les provinces et les certaines 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":"Canada Mortgage and Housing Corporation","funders":"","keywords":"Context (archaeology); Economic shortage; Christian ministry; Public policy","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001032972,0.00152933,0.001258629,0.0091962,0.001373776,0.003416362,0.002062169,0.001054426,0.03232523],"category_scores_gemma":[0.01281099,0.0007530349,0.001316225,0.02457345,0.0006859125,0.001419413,0.001453967,0.001728758,0.02144032],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01358692,"about_ca_system_score_gemma":0.03276965,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9463771,"about_ca_topic_score_gemma":0.9661375,"domain_scores_codex":[0.9985853,0.0001188928,0.0001659499,0.0002789561,0.0005635196,0.0002873116],"domain_scores_gemma":[0.9923944,0.001366831,0.0005051417,0.0007463577,0.004498838,0.0004883713],"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":[0.00005068471,0.00001455201,0.009341507,0.0007728105,0.00006953905,0.00002752021,0.0001329733,0.0004910327,0.00005388823,0.001401611,0.982399,0.00524492],"study_design_scores_gemma":[0.00008989261,0.000008040661,0.05311099,0.0006582692,0.00007052744,0.00005971754,0.0005163908,0.0006314029,0.0002558522,0.0009534972,0.9435844,0.00006086001],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0002678587,0.0001286301,0.00005086258,0.00007084498,0.00001111711,0.000006024275,0.9983811,0.0001080919,0.0009754242],"genre_scores_gemma":[0.00180629,0.0002722113,0.0003322019,0.00003759255,0.00000729198,0.00005233519,0.9954973,0.00005150464,0.001943246],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.0536229,"threshold_uncertainty_score":0.1081387,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01388797032862651,"score_gpt":0.2945035113159006,"score_spread":0.2806155409872741,"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."}}