{"id":"W7053503440","doi":"","title":"The Use of Criminal Interrogation Methods Within a Postmodern America","year":2020,"lang":"en","type":"dissertation","venue":"OakTrust (Texas A&M University Libraries)","topic":"Particle Accelerators and Free-Electron Lasers","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Interrogation; Subject (documents); Pretext; Subpoena; Circumstantial evidence; Ridiculous","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"],"consensus_categories":[],"category_scores_codex":[0.00006358231,0.0002874149,0.0003472913,0.0001233868,0.0001932319,0.0001691493,0.0004676558,0.0002148703,0.00006912621],"category_scores_gemma":[0.00004976031,0.0002782586,0.0001525907,0.0004728895,0.0001296584,0.0008171429,0.00006365849,0.0004754563,0.00002184043],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001199272,"about_ca_system_score_gemma":0.0001991772,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001496603,"about_ca_topic_score_gemma":0.0002139639,"domain_scores_codex":[0.9988191,0.000136586,0.0002864367,0.0002655956,0.0002029087,0.0002894387],"domain_scores_gemma":[0.9990711,0.000196117,0.0001972333,0.0003197072,0.00007655535,0.000139345],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.01383896,0.0006150653,0.004205258,0.003668606,0.007478081,0.0004991143,0.1168457,0.06262165,0.07513257,0.2837266,0.07035421,0.3610142],"study_design_scores_gemma":[0.0009680216,0.0003991752,0.003087429,0.0001665158,0.000847661,0.000004375293,0.017552,0.2699253,0.06177121,0.0004728614,0.643636,0.001169461],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9463149,0.0009005523,0.03284464,0.0003705248,0.00188331,0.0007714402,0.0001648156,0.0008649338,0.01588494],"genre_scores_gemma":[0.9475582,0.0006910366,0.04319054,0.0001983868,0.0002011857,0.000004119261,0.001358076,0.0002182891,0.006580192],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5732818,"threshold_uncertainty_score":0.999967,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03274469196651666,"score_gpt":0.2384604871250301,"score_spread":0.2057157951585134,"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."}}