{"id":"W6945311658","doi":"10.25318/4610003701-eng","title":"Dimensions of core housing need, by tenure including first-time homebuyer and social and affordable housing status, 2018, inactive","year":2020,"lang":"en","type":"dataset","venue":"Statistics Canada Dissemination","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Census; Affordable housing; Metropolitan area; Core (optical fiber); Urban agglomeration; Housing tenure","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001001803,0.001406759,0.001180841,0.003265973,0.001168231,0.001882741,0.002782167,0.001014836,0.03479633],"category_scores_gemma":[0.008156666,0.0008343259,0.001295072,0.01120821,0.0003478416,0.001690368,0.001578902,0.001852008,0.01468546],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.008641865,"about_ca_system_score_gemma":0.01597209,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8684911,"about_ca_topic_score_gemma":0.9084755,"domain_scores_codex":[0.9990793,0.00005489778,0.0001365992,0.0001558999,0.0003246409,0.0002486221],"domain_scores_gemma":[0.9949273,0.0003221148,0.0004095553,0.0002146251,0.003639217,0.0004871874],"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":[0.00005659484,0.00001884192,0.006549208,0.0005051691,0.0000399578,0.000010922,0.00004800207,0.0001979108,0.00002511347,0.0005440729,0.9902015,0.001802716],"study_design_scores_gemma":[0.0005265949,0.00003665426,0.2384825,0.001341983,0.0001542049,0.00008569226,0.0009661121,0.0009810462,0.0002299827,0.001059689,0.7560521,0.0000834067],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0002618882,0.00004504195,0.00001679913,0.00004466488,0.00001312472,0.00001050966,0.9991937,0.00001746963,0.0003967778],"genre_scores_gemma":[0.002079556,0.0001332723,0.0001828903,0.00007739648,0.00001007509,0.0001622078,0.9956729,0.00002298604,0.001658713],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1315089,"threshold_uncertainty_score":0.2645667,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01688887058270544,"score_gpt":0.2735754153956084,"score_spread":0.256686544812903,"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."}}