{"id":"W6964008711","doi":"10.25318/3410014001-eng","title":"Canada Mortgage and Housing Corporation, housing starts in all centres 10,000 and over, Canada, provinces, and census metropolitan areas, seasonally adjusted at annual rates, quarterly","year":2019,"lang":"en","type":"dataset","venue":"Statistics Canada Dissemination","topic":"Ecology and biodiversity studies","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canada Mortgage and Housing Corporation","funders":"","keywords":"Census; Metropolitan area; Table (database); Unit (ring theory); Quarter (Canadian coin)","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":[0.0005407901,0.001325518,0.001260154,0.006019189,0.001584003,0.002502889,0.002151394,0.0007112707,0.04714618],"category_scores_gemma":[0.00645943,0.0007003293,0.0008006335,0.02171923,0.000431217,0.001226745,0.001146995,0.001576844,0.02829561],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01315688,"about_ca_system_score_gemma":0.02763198,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9512921,"about_ca_topic_score_gemma":0.9681346,"domain_scores_codex":[0.9988214,0.000049734,0.0001305985,0.0002425334,0.0004959116,0.0002597157],"domain_scores_gemma":[0.9944068,0.0003628903,0.0004939291,0.0003587631,0.003920359,0.0004572247],"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":[0.000023503,0.000008081592,0.003504195,0.0002008071,0.00001931728,0.00001030789,0.00002109003,0.0001307961,0.00001282819,0.000438028,0.9938943,0.001736712],"study_design_scores_gemma":[0.00009161105,0.000009004306,0.05455278,0.0004320717,0.00003917579,0.00003915218,0.0002610749,0.0004317652,0.00017513,0.0005144666,0.9434171,0.00003675609],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001532821,0.00004230946,0.00001651815,0.00002845077,0.000009702874,0.000005134277,0.9990274,0.00002875094,0.0006884293],"genre_scores_gemma":[0.001228003,0.0001256155,0.000125406,0.00002930075,0.000005692206,0.0000340592,0.996443,0.00002063179,0.001988208],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.0487079,"threshold_uncertainty_score":0.1577197,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008314059357882172,"score_gpt":0.2198168609578026,"score_spread":0.2115028015999205,"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."}}