{"id":"W6901553417","doi":"10.6068/dp14ba81fdf5065","title":"Trend 2002 - 2010. 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, Hospital accompaniment | Units: # %, 2002-2010. 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; Census; Economic statistics; Service (business)","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":[0.002389779,0.002537062,0.00301748,0.009615598,0.003634555,0.0056022,0.005483761,0.001563331,0.103351],"category_scores_gemma":[0.01990733,0.00225626,0.002450441,0.04171039,0.00067666,0.002920761,0.002793597,0.003318287,0.05781652],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.07085686,"about_ca_system_score_gemma":0.1799682,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9962271,"about_ca_topic_score_gemma":0.994504,"domain_scores_codex":[0.994953,0.0003105282,0.0005483248,0.0005628648,0.002427059,0.001198193],"domain_scores_gemma":[0.9588656,0.00120296,0.001187784,0.001019727,0.03552274,0.002201159],"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":[0.00002622889,0.000007601457,0.001026069,0.0002580208,0.00002088365,0.000006308011,0.00002357133,0.00009329862,0.000008819879,0.0003503131,0.9963635,0.001815487],"study_design_scores_gemma":[0.0001882205,0.00001774895,0.03078757,0.00107009,0.00009442071,0.00003284921,0.0007075255,0.0005788174,0.0002188622,0.000667495,0.9655289,0.0001075288],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.000065915,0.00007022387,0.00002887759,0.0001798672,0.00004320566,0.00002302055,0.9982711,0.00008156885,0.001236252],"genre_scores_gemma":[0.001252223,0.0005011216,0.0005483338,0.0002556386,0.00002953767,0.0001838318,0.989819,0.0001808556,0.007229462],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.103351,"threshold_uncertainty_score":0.514105,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02118708306064424,"score_gpt":0.2299961254658917,"score_spread":0.2088090424052474,"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."}}