{"id":"W6901676311","doi":"10.6068/dp1510248562048","title":"Trend 2000 - 2006. United Nations Economic Commission for Europe. Gender Statistics [Archive]: Victims of Crime | Country: United States | Selection 1: Both sexes | Selection 2: Serious assault | Selection 3: Victims of crime, 2000-2006. Data-Planet™ Statistical Ready Reference by Conquest Systems, Inc. Dataset-ID: 054-003-054.","year":2015,"lang":"en","type":"other","venue":"Data Planet","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Commission; Official statistics; Selection (genetic algorithm); International Standard Industrial Classification; Crime statistics; Economic 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":[],"consensus_categories":[],"category_scores_codex":[0.002121609,0.00188684,0.001656156,0.005475387,0.0008852028,0.003122183,0.002513246,0.001102765,0.09917998],"category_scores_gemma":[0.0150108,0.001134438,0.001084498,0.02060967,0.0002962914,0.003365114,0.001792117,0.002188015,0.1008069],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002969666,"about_ca_system_score_gemma":0.006359502,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1355518,"about_ca_topic_score_gemma":0.07709684,"domain_scores_codex":[0.9977379,0.0003048102,0.0004016878,0.0004029408,0.000795646,0.0003571363],"domain_scores_gemma":[0.9911675,0.001004354,0.000936602,0.0005918042,0.005901762,0.0003980173],"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":[0.00002262431,0.000008280012,0.000585112,0.0002108903,0.000008836069,0.00000547409,0.00001320398,0.00005068892,0.0000105313,0.0003567649,0.9968253,0.00190228],"study_design_scores_gemma":[0.0000756205,0.00001377756,0.01149254,0.0006090948,0.00002028274,0.0000232058,0.0001957033,0.0001140772,0.0001198181,0.0005608131,0.9867507,0.00002440902],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00006282732,0.00004372159,0.00003804779,0.00008186814,0.00006100564,0.000018512,0.9983876,0.00004998795,0.001256391],"genre_scores_gemma":[0.0003841214,0.0001522928,0.0002682997,0.0000818736,0.00002102267,0.0001865415,0.9960936,0.00008281888,0.002729572],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1355518,"threshold_uncertainty_score":0.3317901,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04007759551884515,"score_gpt":0.29995891098598,"score_spread":0.2598813154671348,"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."}}