{"id":"W6888950504","doi":"10.25318/4610001001-fra","title":"Pratiques de gestion des actifs relatifs au logement social et abordable public de propriété municipale, selon la zone (urbaine ou rurale) et la taille de population, Infrastructure Canada, inactif","year":2025,"lang":"fr","type":"dataset","venue":"Statistics Canada Dissemination","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Economic shortage; Public policy; Government (linguistics); Context (archaeology)","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":[0.00202131,0.00109337,0.001195956,0.004498922,0.001008358,0.002082854,0.002072836,0.001366206,0.02981188],"category_scores_gemma":[0.02012424,0.0007129157,0.001360894,0.01131571,0.0004330359,0.001061789,0.001328511,0.001966345,0.01426767],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01230915,"about_ca_system_score_gemma":0.02364992,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9114572,"about_ca_topic_score_gemma":0.9279047,"domain_scores_codex":[0.997903,0.0002829399,0.0003140749,0.0003695381,0.0007060198,0.000424416],"domain_scores_gemma":[0.9886289,0.002024707,0.001146348,0.0006402957,0.006752724,0.0008070788],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.00006670172,0.00002142665,0.0186103,0.0007148496,0.00006348501,0.00002024338,0.0001443477,0.0004866722,0.00002961802,0.0007212688,0.9753088,0.003812156],"study_design_scores_gemma":[0.0002444011,0.00002453243,0.2197628,0.001650552,0.0001185582,0.00007911565,0.001015276,0.001230619,0.0002828378,0.001056504,0.7744305,0.0001043654],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0003754606,0.00009050573,0.00003621284,0.0001343809,0.00001599706,0.00001187804,0.9986147,0.00003350415,0.0006874576],"genre_scores_gemma":[0.003544266,0.0002627104,0.0003310148,0.00009850317,0.00001433299,0.0001684465,0.9921197,0.00003248166,0.003428552],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.08854282,"threshold_uncertainty_score":0.1781285,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008557009982597001,"score_gpt":0.2863169286471232,"score_spread":0.2777599186645262,"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."}}