{"id":"W6926829519","doi":"10.25318/3410013901-fra","title":"Société canadienne d'hypothèques et de logement, logements en construction dans les centres de 10 000 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":"Algal biology and biofuel production","field":"Energy","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":[0.001104148,0.001587555,0.00125623,0.009442576,0.001456854,0.003346794,0.001961799,0.001018279,0.02694036],"category_scores_gemma":[0.01237511,0.0007579518,0.00141173,0.02517496,0.0007451355,0.001321111,0.001421688,0.001618928,0.01690706],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01405677,"about_ca_system_score_gemma":0.03717976,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9470079,"about_ca_topic_score_gemma":0.9654239,"domain_scores_codex":[0.9983684,0.0001261044,0.0001974231,0.0003424855,0.0006509018,0.0003146271],"domain_scores_gemma":[0.992377,0.001396046,0.0005542989,0.0007962851,0.004372055,0.0005042673],"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":[0.00008189929,0.00002037412,0.01832687,0.0009803835,0.0001227391,0.00003810222,0.0001671053,0.0008494385,0.0001052462,0.001751165,0.9696731,0.007883543],"study_design_scores_gemma":[0.00009201034,0.000009352389,0.06589317,0.0005376662,0.00009060899,0.00006496416,0.0004903319,0.0007609627,0.0003736887,0.0009683185,0.9306504,0.00006852479],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.000392037,0.0001480864,0.00007120588,0.00007443407,0.00001134178,0.00000647337,0.9980405,0.0001332407,0.001122721],"genre_scores_gemma":[0.002341093,0.0002900476,0.0004040212,0.00004012309,0.000007008994,0.00004710674,0.9950308,0.0000541569,0.001785731],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.05299211,"threshold_uncertainty_score":0.1066083,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01230565150783595,"score_gpt":0.277398971664588,"score_spread":0.2650933201567521,"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."}}