{"id":"W6923376631","doi":"10.14288/1.0388715","title":"2018 Statistics Canada – Canadian Housing Statistics Program 46-10-0029-01: Property use of residential properties, by property type and residency ownership","year":2020,"lang":"en","type":"dataset","venue":"Open Collections","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Census; Metropolitan area; Table (database); Descriptive statistics; American Community Survey; Port (circuit theory); Quarter (Canadian coin); Index (typography)","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":[0.0016565,0.001698651,0.001918212,0.008246828,0.003012394,0.005214686,0.003188869,0.00109544,0.1278004],"category_scores_gemma":[0.01329935,0.001207305,0.001422654,0.02910919,0.0006455255,0.001961559,0.001641338,0.002143267,0.06490267],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05131672,"about_ca_system_score_gemma":0.1296227,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9932259,"about_ca_topic_score_gemma":0.9928099,"domain_scores_codex":[0.9949993,0.0002066215,0.0003526288,0.0005784573,0.002993818,0.0008692],"domain_scores_gemma":[0.9740001,0.0009230828,0.0006747781,0.0007490448,0.02219385,0.001459115],"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":[0.00001268578,0.000006052544,0.001430579,0.0001142395,0.000009535192,0.000008005934,0.00002592473,0.00008125454,0.00001212819,0.0005998575,0.9940299,0.003669803],"study_design_scores_gemma":[0.00003417837,0.000008127067,0.03448885,0.0003245441,0.00002021742,0.0000216167,0.0003289597,0.0004005017,0.0001279441,0.0004768058,0.9637233,0.0000450081],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0003132357,0.0001697423,0.0001189742,0.0003135465,0.000123365,0.00005505356,0.9899186,0.0001325572,0.008854907],"genre_scores_gemma":[0.003685693,0.0009311241,0.0009517227,0.0003014142,0.00005670127,0.0002438223,0.9600485,0.0002280229,0.03355306],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1278004,"threshold_uncertainty_score":0.4275348,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07037821128207347,"score_gpt":0.2722672574715924,"score_spread":0.2018890461895189,"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."}}