{"id":"W6889412273","doi":"10.25549/webster-c100-10099","title":"Toward Community-Oriented Policing, 1987-01","year":2021,"lang":"en","type":"dataset","venue":"University of Southern California Digital Library","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Commission; Newspaper; Economic Justice; Variety (cybernetics); Criminal justice; Government (linguistics)","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":[0.00264823,0.001351326,0.0008629732,0.003990443,0.001158469,0.004437534,0.00222538,0.001352345,0.01661822],"category_scores_gemma":[0.009883877,0.001093178,0.0006145255,0.01166994,0.0003901273,0.001587791,0.002373545,0.002544726,0.0396152],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004136507,"about_ca_system_score_gemma":0.00613733,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2544557,"about_ca_topic_score_gemma":0.3494319,"domain_scores_codex":[0.9978542,0.0003528424,0.0002518949,0.000357182,0.0008743874,0.0003094244],"domain_scores_gemma":[0.994431,0.0005263951,0.0006917413,0.0008136577,0.002928474,0.0006088397],"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":[0.00002714118,0.00003544692,0.005722603,0.0001032493,0.000008919409,0.000009882118,0.00004195115,0.0002176292,0.0000154832,0.0002957164,0.9905847,0.002937412],"study_design_scores_gemma":[0.0002874012,0.00003543038,0.1124128,0.0003562991,0.00002831804,0.00004444041,0.0006374149,0.001303451,0.0003663542,0.0007146187,0.8837798,0.00003371447],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0008745177,0.00007126709,0.00005750551,0.000279428,0.00003176989,0.00002174,0.9976323,0.0000928667,0.0009386524],"genre_scores_gemma":[0.0008388612,0.00007721468,0.0002699402,0.00005834649,0.00001175931,0.00008889407,0.9974921,0.00002543173,0.001137529],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.2544557,"threshold_uncertainty_score":0.5059493,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01407943135193147,"score_gpt":0.1834282911069114,"score_spread":0.16934885975498,"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."}}