{"id":"W2904053442","doi":"10.31820/ejap.14.1.2","title":"False-Positives in Psychopathy Assessment","year":2018,"lang":"en","type":"article","venue":"European journal of analytic philosophy","topic":"Psychology of Moral and Emotional Judgment","field":"Neuroscience","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"University of Toronto Mississauga; University of Toronto","keywords":"Psychopathy; False positive paradox; Psychology; Sampling (signal processing); Quality (philosophy); Yield (engineering); Social psychology; Computer science; Personality; Epistemology; Artificial intelligence","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.3315853,0.001204572,0.0020046,0.006166212,0.002608549,0.003458574,0.004613722,0.002943693,0.001929856],"category_scores_gemma":[0.608804,0.001027747,0.001382088,0.002533276,0.008545716,0.004232001,0.007709431,0.004505673,0.0007424591],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002114117,"about_ca_system_score_gemma":0.002672876,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001947422,"about_ca_topic_score_gemma":0.003335542,"domain_scores_codex":[0.6154112,0.2578221,0.03000649,0.01701246,0.07656977,0.003177902],"domain_scores_gemma":[0.3479289,0.4514934,0.06798576,0.05539446,0.07302742,0.004170113],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.003019186,0.00077332,0.4217862,0.007047437,0.001292229,0.005087339,0.06816873,0.00156625,0.006162432,0.07645074,0.03334867,0.3752973],"study_design_scores_gemma":[0.0004080848,0.00260912,0.4786456,0.01241753,0.00144691,0.01610214,0.02558781,0.0186183,0.03116701,0.2723445,0.139965,0.0006880586],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5241854,0.01763396,0.3650564,0.03321935,0.006417346,0.006354255,0.001129719,0.001001745,0.0450019],"genre_scores_gemma":[0.8319228,0.003685075,0.1389239,0.01420029,0.001290688,0.0040732,0.0007448901,0.0002389453,0.004920122],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3315853,"threshold_uncertainty_score":0.8242744,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1034354094928179,"score_gpt":0.3208507982918136,"score_spread":0.2174153887989956,"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."}}