{"id":"W7113553577","doi":"","title":"Scottish Crime Survey, 1982","year":2020,"lang":"","type":"other","venue":"Open MIND","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Victimisation; Criminal justice; Demographics; Survey data collection; Crime prevention; Sample (material); Economic Justice; Pandemic; Dark figure of crime","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":[0.002069743,0.001854848,0.001397658,0.006132745,0.0009164006,0.002047197,0.002484618,0.0006385716,0.05427494],"category_scores_gemma":[0.007203139,0.001042932,0.000799355,0.009676442,0.0004248227,0.002458499,0.001350368,0.001350492,0.03572213],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005686921,"about_ca_system_score_gemma":0.005661167,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.3591236,"about_ca_topic_score_gemma":0.3804614,"domain_scores_codex":[0.9977576,0.0003210515,0.000477573,0.0003106949,0.0008965749,0.0002364898],"domain_scores_gemma":[0.993762,0.0004416253,0.0006931269,0.0003117924,0.004474125,0.000317369],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.00005620543,0.00003494977,0.01652928,0.0003575851,0.0000423259,0.00005634341,0.0001367441,0.0001778127,0.00004147615,0.001351738,0.9579724,0.02324309],"study_design_scores_gemma":[0.0000956742,0.000064095,0.338087,0.0005014504,0.00005569583,0.0002037131,0.0006278888,0.0004518357,0.0001442975,0.0009272111,0.6587776,0.00006359457],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.004451864,0.002096118,0.0007373914,0.0009492624,0.0003939024,0.0004917382,0.930276,0.0003478705,0.06025596],"genre_scores_gemma":[0.0267341,0.004377596,0.00239378,0.000866894,0.0001596894,0.001658567,0.8853556,0.0002439928,0.0782098],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.3591236,"threshold_uncertainty_score":0.7140664,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1060331802982887,"score_gpt":0.3497707795771188,"score_spread":0.2437375992788301,"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."}}