{"id":"W6964201231","doi":"10.25549/webster-c100-10735","title":"The Administration of Justice Under Emergency Conditions in the District of Columbia, 1973-03","year":2021,"lang":"en","type":"dataset","venue":"University of Southern California Digital Library","topic":"Ecology and biodiversity studies","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Commission; Administration (probate law); Newspaper; Economic Justice; Administration of justice; Criminal justice","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00006981473,0.00009682383,0.0001754623,0.00002349657,0.0002540058,0.00001741261,0.0005301643,0.0001197992,0.002880092],"category_scores_gemma":[0.0000332193,0.00008314408,0.0001174236,0.0002436569,0.000745479,0.0001306529,0.0003888267,0.0001491334,0.0005578419],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001953291,"about_ca_system_score_gemma":0.00005076987,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004065236,"about_ca_topic_score_gemma":0.002973737,"domain_scores_codex":[0.9992558,0.00007430952,0.0001932682,0.0001571842,0.0002022783,0.0001171927],"domain_scores_gemma":[0.9992683,0.0001957218,0.000269466,0.000228607,0.00001149392,0.00002644392],"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":[0.00004886627,0.0001912403,0.03592604,0.00005467533,0.000045901,0.00002041485,0.00007704541,0.00001069382,0.000001546461,0.000003159895,0.9635697,0.00005072669],"study_design_scores_gemma":[0.0002104235,0.00008643101,0.02385875,0.00003162109,0.0002122246,0.00000336281,0.02007984,0.00000255349,0.000005966472,0.0002786197,0.9550898,0.0001403757],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.05083594,0.00004977187,0.000002033268,0.0003523722,0.00003387424,0.0001154266,0.9466876,0.000004158421,0.001918812],"genre_scores_gemma":[0.1151981,0.0004361962,0.00001414028,0.00005901193,0.0000162969,3.939228e-7,0.8832659,0.000004783135,0.001005195],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.06436215,"threshold_uncertainty_score":0.9980314,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008803227960719667,"score_gpt":0.1793971592136969,"score_spread":0.1705939312529773,"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."}}