{"id":"W6946160772","doi":"10.25549/webster-c100-10475","title":"State and Local Police Departments, 1990, 1992-02","year":2018,"lang":"en","type":"dataset","venue":"University of Southern California Digital Library","topic":"Subterranean biodiversity and taxonomy","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Commission; State (computer science); Newspaper; Economic Justice; Criminal justice; Variety (cybernetics)","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00003706256,0.0002554341,0.0002911177,0.0001575111,0.0001956803,0.0001205009,0.0004754503,0.000186635,0.01555649],"category_scores_gemma":[0.000003068867,0.0002574722,0.0001122938,0.0001242801,0.000745427,0.0004208485,0.0001717185,0.0001782807,0.02075436],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000005308666,"about_ca_system_score_gemma":0.00008475978,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006535761,"about_ca_topic_score_gemma":0.0013849,"domain_scores_codex":[0.9989477,0.0000373244,0.0001481318,0.0003586642,0.0002242257,0.0002840023],"domain_scores_gemma":[0.9992315,0.00007298095,0.0001757888,0.0002417416,0.00001317461,0.0002648155],"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":[0.000196634,0.00002614513,0.04129392,0.00006617486,0.000078029,0.00006028453,0.00005164626,0.000004826323,1.380989e-8,5.10284e-8,0.9554791,0.00274317],"study_design_scores_gemma":[0.0003402592,0.00009770115,0.0004072164,0.00003420637,0.00005521676,0.00001204466,0.0008094984,0.00003452131,0.000001751966,0.00005177634,0.9978714,0.0002843944],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.01450238,0.00009531702,0.00001419515,0.0000430678,0.00004288492,0.000125697,0.9829269,0.00003641352,0.002213123],"genre_scores_gemma":[0.004515962,0.0001050568,0.00008663454,0.0001471413,0.00006652677,1.484329e-8,0.9947248,0.000004652873,0.0003492684],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.04239231,"threshold_uncertainty_score":0.9999877,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01139483017540402,"score_gpt":0.1462395864160055,"score_spread":0.1348447562406014,"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."}}