{"id":"W4414986010","doi":"10.1080/29974100.2025.2561692","title":"From human artefact to machine output: automating the “art” of psychological measurement","year":2025,"lang":"en","type":"article","venue":"Journal of Psychology and AI","topic":"Face Recognition and Perception","field":"Neuroscience","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Fundação de Amparo à Pesquisa do Estado da Bahia; Conselho Nacional de Desenvolvimento Científico e Tecnológico","keywords":"Automation; Measure (data warehouse); Set (abstract data type); Identification (biology)","routes":{"ca_aff":true,"ca_fund":false,"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":[],"consensus_categories":[],"category_scores_codex":[0.0445305,0.001511667,0.00110956,0.003235023,0.0008540827,0.004429583,0.002141013,0.001177143,0.006126348],"category_scores_gemma":[0.1889765,0.0008980994,0.001038225,0.001748459,0.00431728,0.005369659,0.005367821,0.001930511,0.003307643],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001191881,"about_ca_system_score_gemma":0.002358656,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00118317,"about_ca_topic_score_gemma":0.001024042,"domain_scores_codex":[0.9532445,0.0334894,0.001823656,0.003688263,0.007369418,0.0003848421],"domain_scores_gemma":[0.8091494,0.1435979,0.005661786,0.03093287,0.009773822,0.0008842649],"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":[0.0004785605,0.0003832393,0.01969989,0.001575577,0.0002251258,0.0001355386,0.007719095,0.003989456,0.02611392,0.02393888,0.007873251,0.9078676],"study_design_scores_gemma":[0.000591638,0.004638336,0.1183314,0.002845044,0.0004474401,0.001623129,0.01131639,0.1745536,0.1095059,0.4024847,0.1728245,0.0008379624],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03285025,0.0003248006,0.9541647,0.001318764,0.0001814297,0.001350834,0.0003686351,0.003818118,0.005622339],"genre_scores_gemma":[0.2523709,0.0003455919,0.7410266,0.0007500693,0.0001282814,0.002602158,0.0004320286,0.0009089501,0.00143537],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0445305,"threshold_uncertainty_score":0.2355026,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.12206823465213,"score_gpt":0.4283047588315571,"score_spread":0.306236524179427,"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."}}