{"id":"W7095541299","doi":"","title":"Canadian Centre for Justice Statistics","year":2015,"lang":"en","type":"article","venue":"","topic":"Census and Population Estimation","field":"Mathematics","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Value (mathematics); Economic Justice; Confidentiality; Table (database); Official 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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00580829,0.001380211,0.002233024,0.01389662,0.006705994,0.008038197,0.004793897,0.001749989,0.2959999],"category_scores_gemma":[0.05898903,0.001277605,0.001146956,0.02624237,0.001424679,0.002797174,0.002161011,0.004619023,0.1026787],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.04072602,"about_ca_system_score_gemma":0.1770136,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.918009,"about_ca_topic_score_gemma":0.9122027,"domain_scores_codex":[0.9823888,0.001378963,0.001330876,0.001453826,0.01178166,0.001665937],"domain_scores_gemma":[0.8921912,0.005145192,0.001882169,0.004770481,0.09316139,0.002849548],"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":[0.000007220778,0.000005798872,0.0004182818,0.0001328877,0.000005673224,0.00001308392,0.00005876874,0.00006265954,0.000009397716,0.008740922,0.9766328,0.0139125],"study_design_scores_gemma":[0.000005341717,0.000004039506,0.00253215,0.0002942732,0.000007194842,0.00002774537,0.0001641787,0.0001321892,0.00002613346,0.001718765,0.9950643,0.00002365927],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.000608086,0.003807879,0.004312383,0.01419893,0.004908003,0.0009818327,0.5467624,0.001380814,0.4230396],"genre_scores_gemma":[0.0171795,0.01401561,0.02345606,0.00610436,0.001373343,0.002435891,0.3121839,0.002193194,0.6210581],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.918009,"threshold_uncertainty_score":0.9902182,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1212321826478093,"score_gpt":0.362519110356595,"score_spread":0.2412869277087856,"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."}}