{"id":"W6920595972","doi":"10.6068/dp14ba7f4dcad8","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: Transition house, Abuse, Children | 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; 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":[0.002390067,0.002466441,0.002840425,0.008885306,0.003710883,0.005211434,0.005647144,0.001489414,0.09482435],"category_scores_gemma":[0.01955144,0.001919441,0.002353081,0.04103459,0.0006738629,0.002654598,0.002524792,0.003114326,0.05981614],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05122642,"about_ca_system_score_gemma":0.1294471,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9948607,"about_ca_topic_score_gemma":0.9923613,"domain_scores_codex":[0.9958067,0.0002833055,0.0005214674,0.0005391093,0.001836735,0.001012561],"domain_scores_gemma":[0.9680468,0.001152742,0.0008986067,0.001051382,0.02725115,0.001599249],"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":[0.00002277287,0.000005114096,0.0008412992,0.0002420869,0.00001773333,0.00000635566,0.00002395081,0.0000803648,0.000008520336,0.0003400443,0.9967465,0.001665206],"study_design_scores_gemma":[0.0001440613,0.00001190098,0.01998464,0.0009284389,0.0000641486,0.00002746653,0.0005684186,0.0004495466,0.0001506017,0.0007231517,0.9768613,0.00008643688],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004412762,0.00004855776,0.00002456311,0.000123536,0.00003226652,0.00001471215,0.9988009,0.00006382517,0.0008475882],"genre_scores_gemma":[0.0007610217,0.0003088502,0.000416663,0.0001639458,0.00001795995,0.0001377354,0.9941758,0.0001322958,0.003885599],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.09482435,"threshold_uncertainty_score":0.3716754,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02013581868688982,"score_gpt":0.241172133176248,"score_spread":0.2210363144893582,"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."}}