{"id":"W6894426199","doi":"10.5683/sp3/a7lc6x","title":"Uniform Crime Reporting Incident-Based Survey (UCR): 2008-2012 Victim/accused occupancy, broken down by province and year","year":2016,"lang":"en","type":"dataset","venue":"Borealis","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Crime statistics; Measure (data warehouse); Survey methodology; Official statistics; Economic Justice; Criminal justice; Survey data collection","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001591917,0.001847474,0.00140766,0.007269809,0.001611617,0.002127951,0.004125355,0.0009571594,0.01355485],"category_scores_gemma":[0.009651639,0.0010428,0.001099049,0.01227504,0.0004655276,0.001035074,0.001743884,0.001872991,0.0104606],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01083089,"about_ca_system_score_gemma":0.01876543,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9189537,"about_ca_topic_score_gemma":0.9505855,"domain_scores_codex":[0.9979808,0.0001519117,0.000320927,0.0003205689,0.0008418346,0.0003840129],"domain_scores_gemma":[0.9922599,0.000319673,0.001034944,0.0004492349,0.005345221,0.000590984],"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":[0.00005682297,0.00002649882,0.01120995,0.0003915905,0.00006031826,0.00003632815,0.00007974694,0.0003033509,0.00003290829,0.0005182638,0.9850375,0.002246756],"study_design_scores_gemma":[0.0003448387,0.00004307671,0.2685651,0.0010104,0.0001440598,0.0001975397,0.0008891031,0.001753288,0.0005517438,0.0007422548,0.72562,0.0001386439],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0004766792,0.00005069578,0.00004859842,0.00004326479,0.0000143778,0.0000279424,0.9987236,0.00005431664,0.0005605644],"genre_scores_gemma":[0.001637202,0.00008842991,0.0002122041,0.00003286536,0.000007437513,0.00009936308,0.9969741,0.00002195777,0.0009264309],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.08104634,"threshold_uncertainty_score":0.1630473,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02717374261085663,"score_gpt":0.2921827416879914,"score_spread":0.2650089990771348,"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."}}