{"id":"W6945113439","doi":"10.25318/3410014601-fra","title":"Société canadienne d'hypothèques et de logement, logements mis en chantier préliminaires dans les centres urbains de 10 000 habitants et plus, inactif","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); Doors; Pilotage; Qualitative analysis","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":[0.001681512,0.001155354,0.001156919,0.006972275,0.001002112,0.002516049,0.001530433,0.0008048943,0.02447615],"category_scores_gemma":[0.01873947,0.0005645938,0.001656314,0.0157767,0.0005300051,0.00137127,0.001271511,0.001250445,0.01417589],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004321517,"about_ca_system_score_gemma":0.008928747,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.6492203,"about_ca_topic_score_gemma":0.674644,"domain_scores_codex":[0.9982612,0.0003244016,0.0002317916,0.000488062,0.0004506611,0.0002438786],"domain_scores_gemma":[0.9922044,0.002579492,0.0007501757,0.0009812701,0.003189726,0.0002949011],"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":[0.0002614846,0.00005502152,0.1552693,0.002278041,0.0004938676,0.0001172227,0.00071768,0.002013278,0.0002311357,0.002874514,0.8140982,0.0215903],"study_design_scores_gemma":[0.0001205491,0.00003285225,0.2734569,0.001185873,0.0003153468,0.0001747768,0.002242677,0.0019131,0.0004977124,0.001470385,0.718496,0.00009377801],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.006227616,0.0006843368,0.0003985344,0.0003710238,0.00006936071,0.00002823581,0.9873238,0.000330604,0.004566525],"genre_scores_gemma":[0.03254117,0.0009090863,0.001575639,0.0001913654,0.0000475307,0.0002328341,0.9573161,0.000173519,0.007012602],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.3507797,"threshold_uncertainty_score":0.705691,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01430032779054236,"score_gpt":0.2959460822181441,"score_spread":0.2816457544276017,"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."}}