{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.007265167,0.0005099455,0.0002503724,0.002834144,0.008181705,0.008204496,0.001166795,0.002740196,0.004680947],"category_scores_gemma":[0.01279701,0.0005471245,0.0003213161,0.002745967,0.03368603,0.01271688,0.006019178,0.005843364,0.0009895434],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004193145,"about_ca_system_score_gemma":0.002681283,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004875859,"about_ca_topic_score_gemma":0.00866802,"domain_scores_codex":[0.9901199,0.006717338,0.0003694418,0.0007646555,0.001544752,0.0004837828],"domain_scores_gemma":[0.9790236,0.01637107,0.001229605,0.001728468,0.001384352,0.0002628537],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"qualitative","study_design_scores_codex":[0.00003598822,0.00005175961,0.001795179,0.0001705825,0.000007277522,0.0003189828,0.2731641,0.00009275744,0.00170427,0.6697963,0.006303213,0.0465595],"study_design_scores_gemma":[0.000009516542,0.00009058661,0.004761764,0.000936299,0.00001082702,0.001363377,0.05317086,0.0006124965,0.00290753,0.06597506,0.8700804,0.00008130189],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1517335,0.01728813,0.07468383,0.02871367,0.001409882,0.0002851059,0.000207773,0.0002121326,0.725466],"genre_scores_gemma":[0.8869282,0.006834964,0.03404814,0.007583246,0.0009893591,0.0006326233,0.00008593843,0.0003171607,0.06258038],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.008204496,"threshold_uncertainty_score":0.03842235,"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."}}