{"id":"W1944423645","doi":"10.3968/7239","title":"Administrative Trap Investigation","year":2015,"lang":"en","type":"article","venue":"Canadian social science","topic":"Deception detection and forensic psychology","field":"Psychology","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Rationality; Skepticism; Enforcement; Meaning (existential); Trap (plumbing); Law and economics; Law enforcement; Political science; Business; Law; Sociology; Epistemology; Philosophy; Engineering","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.00911077,0.0006036061,0.0006416411,0.005052032,0.006025078,0.004771292,0.003354253,0.002938336,0.01668749],"category_scores_gemma":[0.02739036,0.000458221,0.0008673159,0.002277373,0.002649997,0.002645539,0.007085347,0.004035894,0.005969186],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001906601,"about_ca_system_score_gemma":0.01051288,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004249015,"about_ca_topic_score_gemma":0.004948716,"domain_scores_codex":[0.9866095,0.003197375,0.00142686,0.001335632,0.005573094,0.001857509],"domain_scores_gemma":[0.9785998,0.004207211,0.003786391,0.004376322,0.007522816,0.001507381],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0008806069,0.0005874051,0.07017954,0.001325965,0.0001776283,0.01817572,0.0164151,0.0008874543,0.007457321,0.2517233,0.2342913,0.3978987],"study_design_scores_gemma":[0.0001005033,0.0007514332,0.04068617,0.001865472,0.0002188287,0.04188551,0.01785762,0.005059047,0.01477564,0.06310117,0.8133836,0.0003149108],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.190586,0.007716591,0.1992246,0.02820352,0.005197882,0.00603775,0.003886701,0.002684957,0.5564619],"genre_scores_gemma":[0.757088,0.00413601,0.06159969,0.01429965,0.00112715,0.002054786,0.002593587,0.0004780682,0.156623],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01668749,"threshold_uncertainty_score":0.05582517,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1383239937916009,"score_gpt":0.388996091695258,"score_spread":0.250672097903657,"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."}}