{"id":"W4404331380","doi":"10.29173/irie539","title":"Can Machine Learning Identify Criminals Just by Looking at Their Faces?","year":2024,"lang":"en","type":"article","venue":"The International Review of Information Ethics","topic":"Crime Patterns and Interventions","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Computer science; Psychology; Artificial intelligence; Machine learning; Cognitive psychology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.05061836,0.0006686418,0.0007779922,0.001986885,0.003518187,0.006155632,0.001682045,0.005831424,0.003228528],"category_scores_gemma":[0.119937,0.0004496248,0.0004815903,0.001460159,0.02289193,0.01156216,0.003052443,0.005793223,0.002086414],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002443656,"about_ca_system_score_gemma":0.0045958,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00406667,"about_ca_topic_score_gemma":0.004567232,"domain_scores_codex":[0.9370883,0.05424841,0.001120594,0.00168693,0.004277123,0.001578671],"domain_scores_gemma":[0.9204327,0.06238436,0.006338462,0.003581975,0.005747689,0.001514735],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002215917,0.0003014481,0.03416022,0.001017688,0.00008859242,0.0005920583,0.06365609,0.0008083573,0.0007404669,0.3529947,0.1090255,0.4363932],"study_design_scores_gemma":[0.00007444356,0.0003857162,0.01330529,0.004759728,0.00007484841,0.001907845,0.08508743,0.003941793,0.003622852,0.4598652,0.426785,0.0001899674],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.06219362,0.01181176,0.05185729,0.7959512,0.002131536,0.0002813756,0.0001598252,0.0001435909,0.07546983],"genre_scores_gemma":[0.8325055,0.01630304,0.04275585,0.0879923,0.0009637109,0.0007988199,0.000172825,0.0001182396,0.0183897],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.05061836,"threshold_uncertainty_score":0.2676987,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1106843041714716,"score_gpt":0.4479070557489973,"score_spread":0.3372227515775257,"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."}}