{"id":"W2800725993","doi":"10.1080/02643294.2017.1414693","title":"Objects and faces, faces and objects ….","year":2018,"lang":"en","type":"letter","venue":"Cognitive Neuropsychology","topic":"Face Recognition and Perception","field":"Neuroscience","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Institute of Neurosciences, Mental Health and Addiction; Canadian Institutes of Health Research; Canada Research Chairs","keywords":"Psychology; Neuroimaging; Face (sociological concept); Cognition; Cognitive psychology; Cognitive science; Cognitive neuroscience; Neuroscience; Linguistics; Philosophy","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001263736,0.0005509026,0.0005101011,0.0003789533,0.000284316,0.0001656814,0.0002100104,0.0008733796,0.0008504966],"category_scores_gemma":[0.0009835736,0.0005333595,0.00007418258,0.000252638,0.001494345,0.0001872496,0.0001588271,0.001709384,0.001314992],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001426101,"about_ca_system_score_gemma":0.00003598967,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000007309239,"about_ca_topic_score_gemma":0.00001214897,"domain_scores_codex":[0.9960772,0.001002484,0.0003188339,0.001672109,0.0002885548,0.0006407827],"domain_scores_gemma":[0.9981546,0.001062265,0.000233098,0.0002579212,0.000146401,0.0001457339],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000232832,0.0001193179,0.0004076247,0.0003122979,0.00004042939,0.002002621,0.002165061,3.245506e-8,0.0971331,0.00001380296,0.8563973,0.04117563],"study_design_scores_gemma":[0.003500934,0.002376849,0.02072797,0.0004475518,0.0002292644,0.00449895,0.0004369431,0.00002771823,0.0129526,0.001440919,0.9514433,0.001917067],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"commentary","genre_scores_codex":[0.752332,0.0004704566,0.0000855305,0.1674386,0.003678506,0.001688131,0.0007209797,0.0004937887,0.07309195],"genre_scores_gemma":[0.2462548,0.001931378,0.00002619731,0.7467633,0.001461539,0.00006114753,0.0001054711,0.00009480978,0.003301417],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5793247,"threshold_uncertainty_score":0.9997118,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06664657948222348,"score_gpt":0.3152834885454951,"score_spread":0.2486369090632716,"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."}}