{"id":"W6976588541","doi":"10.6068/dp14ba866f2cc22","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: Community-based agencies, Assistance with victim impact statements | 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; Criminal justice; Official statistics; Economic Justice; Economic statistics; Census; 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":[0.00244197,0.002560833,0.002919112,0.00981737,0.00380521,0.005868393,0.005438961,0.001549696,0.1020343],"category_scores_gemma":[0.01999456,0.002238499,0.002419604,0.04163804,0.0006852036,0.002911097,0.002781265,0.003281835,0.05817508],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.07163644,"about_ca_system_score_gemma":0.1838253,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9965031,"about_ca_topic_score_gemma":0.9949257,"domain_scores_codex":[0.9949459,0.0003115716,0.0005333655,0.0005650206,0.00244431,0.001199788],"domain_scores_gemma":[0.9588194,0.001177559,0.001145419,0.001053374,0.0356171,0.002187182],"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":[0.00002673505,0.000007685923,0.001057723,0.0002416964,0.00002069715,0.000006338569,0.00002408679,0.00009787504,0.000008796941,0.0003722908,0.9961862,0.001949894],"study_design_scores_gemma":[0.0001669998,0.00001681974,0.02877823,0.001001966,0.00008596481,0.00003142461,0.0006887992,0.0005836365,0.0002080663,0.000658848,0.967675,0.0001042773],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00006904828,0.00007208515,0.00003108559,0.0001836831,0.00004374346,0.00002312408,0.9981651,0.0000890774,0.001323165],"genre_scores_gemma":[0.001275202,0.0004971285,0.0005783377,0.0002480118,0.00002837213,0.0001749352,0.9895977,0.0001858933,0.007414429],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1020343,"threshold_uncertainty_score":0.5197612,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03360193983325436,"score_gpt":0.269740804068948,"score_spread":0.2361388642356936,"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."}}