{"id":"W6908074089","doi":"10.25549/webster-c100-10360","title":"Prevention and Control of Urban Disorders, 1980-08","year":2018,"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; 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":[],"consensus_categories":[],"category_scores_codex":[0.001440479,0.001337448,0.001325779,0.004153493,0.0009148625,0.002569002,0.002828719,0.001165638,0.01601147],"category_scores_gemma":[0.007666146,0.0007952872,0.000952146,0.00972257,0.0003060297,0.001184385,0.002014481,0.001811355,0.01497367],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003888578,"about_ca_system_score_gemma":0.005672489,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.3126768,"about_ca_topic_score_gemma":0.3433335,"domain_scores_codex":[0.9988585,0.0001271951,0.0002048512,0.000231032,0.0003603241,0.0002181761],"domain_scores_gemma":[0.9967306,0.000277759,0.0005969593,0.0003176287,0.001698202,0.0003789663],"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":[0.0001539099,0.00005885989,0.01398386,0.0005722519,0.00005939156,0.00003026391,0.00006118308,0.0001733516,0.00003271416,0.0002253982,0.9812983,0.00335043],"study_design_scores_gemma":[0.001348613,0.00009140695,0.3781597,0.00118177,0.0002258613,0.000130572,0.0007085011,0.0006164464,0.0003663825,0.0004093781,0.6166965,0.00006489746],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.000745563,0.00009908927,0.0000158734,0.00008636614,0.00003111085,0.00002391178,0.9984074,0.00004282873,0.0005478678],"genre_scores_gemma":[0.00165822,0.0001944078,0.00009705086,0.00006737091,0.00002654189,0.0002161702,0.9963826,0.00001960301,0.001338057],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.3126768,"threshold_uncertainty_score":0.6217138,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003987462167346115,"score_gpt":0.1580756755968806,"score_spread":0.1540882134295345,"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."}}