{"id":"W6901422725","doi":"10.6068/dp14ba85084e50","title":"Trend 2002 - 2008. Statistics Canada. CANSIM: Crime and Justice - Victims and Victimization | Country: Canada | Table: Victim services survey, types of services offered directly by victim service agencies | Variable: System-based agencies, Shelter or housing, emergency, Number | Units: #, 2002-2008. Data-Planet™ Statistical Ready Reference by Conquest Systems, Inc. Dataset-ID: 075-001-045.","year":2015,"lang":"en","type":"other","venue":"Data Planet","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Crime statistics; Law enforcement; Official statistics; Criminal justice; Economic Justice; Economic statistics; Census; 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":[0.00254437,0.002603838,0.003163604,0.009943067,0.003908683,0.005909878,0.005560301,0.001569234,0.1068475],"category_scores_gemma":[0.02009884,0.002421241,0.002438539,0.04147384,0.0006979613,0.00297337,0.002783485,0.003445488,0.06054585],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.07275437,"about_ca_system_score_gemma":0.1884361,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9965751,"about_ca_topic_score_gemma":0.9948866,"domain_scores_codex":[0.9948837,0.0003403548,0.0005387255,0.0005838267,0.002391583,0.00126185],"domain_scores_gemma":[0.9576671,0.001311631,0.00118984,0.001091879,0.03646624,0.002273382],"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":[0.00002546171,0.000007583559,0.001033759,0.0002283277,0.00002059161,0.000005981231,0.00002389799,0.00009538916,0.000008020673,0.0003517975,0.9964319,0.001767212],"study_design_scores_gemma":[0.0001870135,0.00001702542,0.0286985,0.001058849,0.0000903178,0.00003276402,0.0007239406,0.0006221314,0.0002066599,0.000669541,0.9675818,0.0001115855],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00006784675,0.00006816701,0.00003080223,0.0001842619,0.00004244858,0.00002247789,0.998242,0.00008961744,0.001252402],"genre_scores_gemma":[0.001240647,0.000472595,0.0005864546,0.0002502199,0.00002747854,0.0001885165,0.9895641,0.0002066971,0.007463325],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1068475,"threshold_uncertainty_score":0.5278723,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02544713590670802,"score_gpt":0.248822479878535,"score_spread":0.223375343971827,"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."}}