{"id":"W6945369945","doi":"10.25318/3410015601-fra","title":"Société canadienne d'hypothèques et de logement, logements mis en chantier dans les centres de 10 000 habitants et plus, pour Canada, provinces, et régions métropolitaines de recensement, désaisonnalisées au taux annuel, mensuel","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; Public work","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":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","metaepi_narrow","insufficient_payload"],"consensus_categories":["metaepi_narrow"],"category_scores_codex":[0.002854194,0.00209835,0.001667119,0.0006255282,0.001155031,0.0006835209,0.001875581,0.000738848,0.001399017],"category_scores_gemma":[0.008412026,0.002520761,0.0001588448,0.0007681882,0.0005194098,0.0006733799,0.0004653161,0.001352309,0.00004684486],"about_ca_system_candidate":true,"about_ca_system_consensus":true,"about_ca_system_score_codex":0.08373044,"about_ca_system_score_gemma":0.07692314,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9992421,"about_ca_topic_score_gemma":0.9999875,"domain_scores_codex":[0.9857127,0.003595692,0.00203966,0.001898856,0.002279049,0.004474051],"domain_scores_gemma":[0.9889228,0.003516504,0.002399744,0.001458872,0.001889453,0.001812624],"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":[0.0002511788,0.0004698399,0.01711523,0.001894591,0.00138208,0.001049748,0.003753745,0.001396817,0.001454734,0.009159267,0.9609998,0.00107297],"study_design_scores_gemma":[0.002053753,0.0002729765,0.08868209,0.001975966,0.00191035,0.0001119391,0.02024717,0.003987872,0.0009847729,0.0007153393,0.8761498,0.002907975],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.02048523,0.001173932,0.00500029,0.005116524,0.001513233,0.002419374,0.9637926,0.00007477303,0.0004240072],"genre_scores_gemma":[0.04752211,0.002825513,0.008826731,0.001930037,0.0003862738,0.0004088172,0.925583,0.0005604322,0.01195709],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.08485,"threshold_uncertainty_score":0.9999405,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0151457154006057,"score_gpt":0.3036134009002981,"score_spread":0.2884676854996924,"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."}}