{"id":"W6945214001","doi":"10.25318/3510014101-eng","title":"Number of women and children residing in shelters, by reason(s) of admission and facility type, snapshot day","year":2019,"lang":"en","type":"dataset","venue":"Statistics Canada Dissemination","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Snapshot (computer storage); Table (database); Census; Data collection; Hospital admission","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":[0.0006879977,0.001212433,0.001325057,0.004454047,0.001123981,0.002020835,0.001978355,0.000785943,0.04887963],"category_scores_gemma":[0.007322598,0.0007153623,0.0009071209,0.01476318,0.0003446841,0.000914985,0.0009790275,0.001503924,0.04395304],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007440265,"about_ca_system_score_gemma":0.01294297,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.7914236,"about_ca_topic_score_gemma":0.8004773,"domain_scores_codex":[0.9988412,0.00006923297,0.0001596159,0.0002446856,0.0004134522,0.0002717828],"domain_scores_gemma":[0.9943203,0.0006130062,0.0005168858,0.0005722042,0.003484535,0.0004931373],"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":[0.00003878352,0.00001266388,0.003583853,0.0001864861,0.00001607384,0.00001123228,0.00002376673,0.0001500796,0.00002716498,0.0002249243,0.9940416,0.001683267],"study_design_scores_gemma":[0.0001977693,0.00001824937,0.07531592,0.0005295285,0.00004372323,0.00006311449,0.0004243523,0.0005856472,0.0003216694,0.0004125044,0.9220386,0.00004894994],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001928547,0.00002317119,0.00001344337,0.0000336901,0.00001010977,0.000005732199,0.9991508,0.00003688201,0.0005334149],"genre_scores_gemma":[0.0009766252,0.0000900029,0.00007857406,0.00003413344,0.000005747249,0.00004079495,0.9970257,0.00002367727,0.00172484],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.2085764,"threshold_uncertainty_score":0.4196095,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006144479694592734,"score_gpt":0.2706913996915676,"score_spread":0.2645469199969749,"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."}}