{"id":"W6926892833","doi":"10.25549/webster-c100-10311","title":"Prevention and Control of Urban Disorders, 1980-08","year":2021,"lang":"en","type":"dataset","venue":"University of Southern California Digital Library","topic":"Pneumonia and Respiratory Infections","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Commission; Newspaper; Control (management); Economic Justice; Variety (cybernetics); 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001657639,0.001175208,0.001166697,0.003538839,0.0007955673,0.002015674,0.002439242,0.001092816,0.008028033],"category_scores_gemma":[0.00697634,0.0006981432,0.0009704983,0.00774295,0.0002583308,0.0008634952,0.001554759,0.001424672,0.008539182],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004612172,"about_ca_system_score_gemma":0.005885606,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.38443,"about_ca_topic_score_gemma":0.4132775,"domain_scores_codex":[0.9987042,0.0001574839,0.0002483081,0.0002824793,0.0003789729,0.0002285309],"domain_scores_gemma":[0.9964306,0.000284308,0.0007284158,0.0002805078,0.001864614,0.0004115828],"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":[0.0002459025,0.00008255347,0.03617033,0.0008227269,0.0001140604,0.00004915841,0.00006697994,0.0003432319,0.00005383324,0.0002615695,0.9569909,0.004798835],"study_design_scores_gemma":[0.001106944,0.0001092119,0.5660835,0.001024707,0.0002755161,0.0001513312,0.000553361,0.0007678335,0.0003925779,0.0002911929,0.4291854,0.00005845008],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00140499,0.0001756212,0.00002387067,0.0001243879,0.00003608126,0.00003333873,0.9974813,0.00004075933,0.0006796485],"genre_scores_gemma":[0.003244494,0.0002377575,0.0001445571,0.000129635,0.00003023218,0.0002475897,0.9945476,0.00001630826,0.00140179],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.991972,"threshold_uncertainty_score":0.7643847,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004387808446621554,"score_gpt":0.1720852389028972,"score_spread":0.1676974304562756,"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."}}