{"id":"W6888879728","doi":"10.25318/3410015801-fra","title":"Société canadienne d'hypothèques et de logement, logements mis en chantier, toutes les régions, pour Canada et les provinces, 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":"Economic shortage; Context (archaeology); Doors; Limiting","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":[0.001342659,0.001601117,0.001403307,0.0102695,0.001514022,0.003924283,0.002157876,0.001047418,0.03958841],"category_scores_gemma":[0.0176774,0.000728497,0.001393477,0.02456243,0.000763906,0.001613853,0.001651193,0.001896691,0.02570349],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01373938,"about_ca_system_score_gemma":0.03450114,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9133878,"about_ca_topic_score_gemma":0.9483843,"domain_scores_codex":[0.9982034,0.0001747853,0.0002201786,0.0003697482,0.0006993264,0.0003325628],"domain_scores_gemma":[0.9901814,0.002110065,0.0005805762,0.001038318,0.005574653,0.000514926],"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":[0.00004137841,0.00001109228,0.006384729,0.0007476103,0.00006771064,0.00002184862,0.0001035981,0.000366981,0.000046262,0.001447733,0.98575,0.005011116],"study_design_scores_gemma":[0.00007169824,0.000006046283,0.02951871,0.0006136689,0.00006586463,0.00005223949,0.0004053482,0.0004490976,0.000183171,0.001018494,0.967567,0.0000487439],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0002437967,0.0001760686,0.00006700824,0.0001022969,0.00001815347,0.000007922372,0.9977834,0.000137115,0.00146426],"genre_scores_gemma":[0.00185048,0.0003502731,0.0004229363,0.0000543048,0.00001092126,0.00006453377,0.9948381,0.00007161689,0.002336978],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.08661222,"threshold_uncertainty_score":0.1742446,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01487004417683785,"score_gpt":0.2954952464600343,"score_spread":0.2806252022831965,"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."}}