{"id":"W2893812801","doi":"10.1167/18.10.1234","title":"Dissociating unfamiliar and familiar face discrimination processes over the course of natural familiarization","year":2018,"lang":"en","type":"article","venue":"Journal of Vision","topic":"Face Recognition and Perception","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria","funders":"","keywords":"Psychology; Perception; Participant observation; Differential effects; Contrast (vision); Cognitive psychology; Face perception; Developmental psychology; Social psychology; Artificial intelligence; Computer science; Neuroscience","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":[0.0001586863,0.0001626134,0.0002084702,0.0001621807,0.00008176324,0.0001821232,0.0001274821,0.0001765865,0.001865239],"category_scores_gemma":[0.000831205,0.00008966318,0.0001297722,0.00006071465,0.0002763612,0.0002387023,0.0003374987,0.0002735414,0.0001314915],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008826511,"about_ca_system_score_gemma":0.00008885559,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002297955,"about_ca_topic_score_gemma":0.0006393525,"domain_scores_codex":[0.9998806,0.0000146848,0.000006241521,0.00003717889,0.00003147619,0.00002987397],"domain_scores_gemma":[0.9997566,0.00007251794,0.00005562573,0.00002779805,0.00004018747,0.00004721578],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0007299018,0.00007709244,0.005473447,0.00004819829,0.000009761233,0.0001843184,0.0002937833,0.00003790245,0.9811667,0.00005128807,0.00004177412,0.01188594],"study_design_scores_gemma":[0.00003107397,0.002800853,0.8624427,0.000008756009,0.00002075017,0.0008960089,0.0005758718,0.0007340111,0.1314591,0.000320524,0.0006932463,0.00001707403],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9986799,0.00006732036,0.000633167,0.0000132952,0.000006085598,0.00001425125,0.00002568797,0.000008278014,0.0005519927],"genre_scores_gemma":[0.9982241,0.00006748423,0.00085144,0.00002743773,0.00001084243,0.00003065805,0.0000762048,0.000007413406,0.0007044364],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001865239,"threshold_uncertainty_score":0.006239831,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02357665392668292,"score_gpt":0.3292403273485294,"score_spread":0.3056636734218465,"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."}}