{"id":"W6999024797","doi":"","title":"2022-02-20 - BTWRLM461 - America Is Next","year":2022,"lang":"en","type":"other","venue":"Internet Archive (Internet Archive)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"State of emergency; Government (linguistics); State (computer science); Terrorism; Officer; Monopoly; Immigration; Democracy","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","open_science","research_integrity","insufficient_payload"],"consensus_categories":["metaepi_narrow","insufficient_payload"],"category_scores_codex":[0.0004787771,0.003176846,0.002933748,0.00390205,0.000156987,0.0006445204,0.006814491,0.0004711013,0.6067432],"category_scores_gemma":[0.0002335922,0.003330164,0.00216708,0.0009086948,0.002192762,0.0003492687,0.007364949,0.004788296,0.1366891],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006412574,"about_ca_system_score_gemma":0.0004671519,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.04714429,"about_ca_topic_score_gemma":0.03094231,"domain_scores_codex":[0.9859771,0.001979033,0.002068891,0.004452653,0.002512556,0.003009842],"domain_scores_gemma":[0.9916211,0.0009275626,0.002317257,0.003758051,0.00007302253,0.001303038],"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":[0.0009308017,0.0007546696,0.0006587508,0.0002877773,0.002701348,0.001179622,0.008504642,0.00001258972,0.001647312,0.001528807,0.9802178,0.001575862],"study_design_scores_gemma":[0.001960065,0.001165266,0.0001569143,0.001046314,0.0004524189,0.0003427828,0.0004815841,0.002964342,0.0002740913,0.002059869,0.985882,0.003214336],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0002895126,0.00209697,0.00273259,0.0003741368,0.002884861,0.002521613,0.02553683,0.002715164,0.9608483],"genre_scores_gemma":[0.001592673,0.0005771133,0.003888542,0.003358017,0.002248712,0.001002725,0.01227571,0.007364567,0.967692],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.470054,"threshold_uncertainty_score":0.9985591,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0159673694212291,"score_gpt":0.2521403686234193,"score_spread":0.2361729992021901,"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."}}