{"id":"W6939061108","doi":"10.6068/dp14baa31467c17","title":"Trend 1998 - 2000. Statistics Canada. CANSIM: Society and Community - Women and Gender | Country: Canada | Province: British Columbia | Table: Number of women and children residing in shelters, by reason of admission, snapshot day | Variable: 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; Social statistics; Official 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":[0.002412571,0.002346292,0.002776719,0.008182571,0.003476745,0.004928225,0.005236337,0.001484104,0.09930287],"category_scores_gemma":[0.01973785,0.001868413,0.002219629,0.03873247,0.0006393797,0.002485047,0.002368153,0.003086897,0.05944126],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.04969185,"about_ca_system_score_gemma":0.1250242,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.994126,"about_ca_topic_score_gemma":0.9916156,"domain_scores_codex":[0.9960364,0.0002850424,0.0005038924,0.0005111288,0.001712583,0.0009510804],"domain_scores_gemma":[0.9674538,0.00117671,0.0008839051,0.001077331,0.02775184,0.001656381],"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":[0.00002381875,0.000005281958,0.0008568721,0.0002442934,0.00001709542,0.000006097473,0.00002219095,0.00007729251,0.000008442945,0.0003163958,0.9967296,0.001692601],"study_design_scores_gemma":[0.0001562093,0.00001280718,0.02183002,0.0009795642,0.00006554127,0.00002682321,0.0005500563,0.0004273611,0.0001501765,0.0006928736,0.975024,0.00008461973],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004751583,0.00005192559,0.00002347632,0.0001271048,0.00003564542,0.00001657551,0.9987097,0.00006089306,0.0009272124],"genre_scores_gemma":[0.0008606124,0.0003224171,0.0004271696,0.0001824536,0.00001946454,0.0001690809,0.9931703,0.0001353999,0.004713164],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.09930287,"threshold_uncertainty_score":0.3605413,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01404693139127255,"score_gpt":0.2309926098015425,"score_spread":0.2169456784102699,"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."}}