{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005614761,0.001339857,0.001349251,0.006286249,0.001739922,0.002621597,0.002265029,0.0007506838,0.0513861],"category_scores_gemma":[0.006488928,0.0007338061,0.0008311392,0.02294722,0.000440549,0.001187072,0.001095823,0.001491627,0.03433242],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01600907,"about_ca_system_score_gemma":0.03199484,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.956313,"about_ca_topic_score_gemma":0.9728186,"domain_scores_codex":[0.9988549,0.00004189345,0.0001171107,0.0002248881,0.0005277006,0.000233486],"domain_scores_gemma":[0.9941806,0.0003503375,0.0004203136,0.0003621906,0.004283465,0.000403136],"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":[0.00002017066,0.000006916575,0.002395205,0.0002229816,0.00001434601,0.00001045066,0.0000247086,0.0001319298,0.00001732476,0.0004340627,0.9951605,0.001561452],"study_design_scores_gemma":[0.00007493049,0.00000672694,0.03149571,0.0003639086,0.00003026291,0.00003413779,0.0002522795,0.0003298479,0.0001821133,0.0004389717,0.9667595,0.00003171053],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00009562775,0.00003398432,0.00001408601,0.00002437212,0.000006645501,0.000004032308,0.9992216,0.00002856697,0.0005711095],"genre_scores_gemma":[0.0008280924,0.0001167319,0.0001268802,0.00002574611,0.000004376923,0.00003077608,0.9969664,0.00002159498,0.001879426],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.0513861,"threshold_uncertainty_score":0.1719036,"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."}}