{"id":"W6926388649","doi":"10.25318/3410015001-eng","title":"Canada Mortgage and Housing Corporation, absorptions and unabsorbed inventory, newly completed dwellings, by type of dwelling unit in census agglomerations of 50,000 and over","year":2019,"lang":"en","type":"dataset","venue":"Statistics Canada Dissemination","topic":"Diatoms and Algae Research","field":"Materials Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canada Mortgage and Housing Corporation","funders":"","keywords":"Census; Urban agglomeration; Unit (ring theory); Table (database); Life table; Population","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00024736,0.0001755988,0.0003310142,0.000153462,0.0001079432,0.00007099128,0.0001011972,0.00008383602,0.00008011371],"category_scores_gemma":[0.0002069625,0.0001932786,0.000005621944,0.0002415399,0.0001345466,0.00008447352,0.00005101327,0.0001528839,1.53441e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001230486,"about_ca_system_score_gemma":0.001174704,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9669358,"about_ca_topic_score_gemma":0.9901853,"domain_scores_codex":[0.998459,0.00008006173,0.0004848657,0.0002736428,0.0004991025,0.0002033311],"domain_scores_gemma":[0.9986726,0.000343893,0.0004089013,0.0001806697,0.0002807939,0.0001131175],"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":[0.00001680241,0.00002623278,0.001455479,0.0005496404,0.00001288764,0.000009157057,0.00003591137,0.0001885152,0.005724402,0.000432766,0.9914145,0.0001337413],"study_design_scores_gemma":[0.003911327,0.0006561123,0.1936287,0.003475494,0.0007127576,0.00002838433,0.002205359,0.05885948,0.008314296,0.001685177,0.7232427,0.003280222],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.161957,0.0003930313,0.0002019397,0.00002576157,0.0001444744,0.0002412133,0.8370295,0.000002200866,0.00000490219],"genre_scores_gemma":[0.2015395,0.000560697,0.0003732307,0.00002344358,0.00001475406,0.000005821866,0.7973964,0.00001842358,0.00006779262],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.2681718,"threshold_uncertainty_score":0.7881674,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02485703162435792,"score_gpt":0.2932164075448078,"score_spread":0.2683593759204498,"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."}}