{"id":"W6901587572","doi":"10.6068/dp14ba7fb34b914","title":"Trend 1998 - 2000. Statistics Canada. CANSIM: Society and Community - Women and Gender | Country: Canada | Table: Number of women and children residing in shelters, by reason(s) of admission and facility type, snapshot day | Variable: Second stage housing, Non-abuse, Women | Units: , 1998-2000. Data-Planet™ Statistical Ready Reference by Conquest Systems, Inc. Dataset-ID: 075-001-193.","year":2015,"lang":"en","type":"other","venue":"Data Planet","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Census; Socioeconomic status; Official statistics; Social statistics; Population; Economic statistics; Population statistics; Demographic statistics; Summary statistics","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":[0.002579278,0.002481376,0.00282954,0.008578876,0.00356346,0.005084069,0.00590418,0.001493801,0.09222107],"category_scores_gemma":[0.02025491,0.001965425,0.002333156,0.04142974,0.0006805897,0.002639352,0.00247143,0.003101757,0.0579894],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05242637,"about_ca_system_score_gemma":0.1318624,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.99466,"about_ca_topic_score_gemma":0.9921668,"domain_scores_codex":[0.9957522,0.0003010202,0.0005194304,0.0005439142,0.001872823,0.001010617],"domain_scores_gemma":[0.9662403,0.001230683,0.0009364237,0.001113812,0.0288332,0.001645449],"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":[0.00002408878,0.000005519162,0.0008804411,0.0002481883,0.00001800825,0.000006111813,0.00002386081,0.0000877639,0.000008579297,0.0003193104,0.9967287,0.001649524],"study_design_scores_gemma":[0.0001568948,0.00001288168,0.02136507,0.0009435413,0.00006562378,0.00002648049,0.0005662428,0.00046801,0.0001579639,0.0007051835,0.9754447,0.00008735676],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004388117,0.00004423879,0.00002356346,0.0001174354,0.00002984863,0.0000154045,0.9988658,0.00006273566,0.0007970585],"genre_scores_gemma":[0.0007475791,0.0002834205,0.0004286794,0.0001594999,0.00001709678,0.0001519174,0.9941987,0.0001290469,0.003884072],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.09222107,"threshold_uncertainty_score":0.3803817,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02204853417562849,"score_gpt":0.249593917810489,"score_spread":0.2275453836348605,"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."}}