{"id":"W2621588601","doi":"10.1080/13506285.2017.1329763","title":"Cross-modal interactions of faces, voices and names in person familiarity","year":2017,"lang":"en","type":"article","venue":"Visual Cognition","topic":"Face Recognition and Perception","field":"Neuroscience","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"National Eye Institute; Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs","keywords":"Psychology; Amodal perception; Modality (human–computer interaction); Set (abstract data type); Modal; Cognitive psychology; Communication; Face (sociological concept); Stimulus modality; Perception; Linguistics; Sensory system; Artificial intelligence; Computer science; Neuroscience","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":[],"consensus_categories":[],"category_scores_codex":[0.0001264177,0.00008583866,0.000109774,0.0001155477,0.0002956351,0.000164807,0.00007818564,0.00005998983,0.0002776995],"category_scores_gemma":[0.0004105692,0.00008702351,0.00003335175,0.00006155252,0.0002453854,0.0007666772,0.00003405503,0.0001490141,0.00006271809],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001762401,"about_ca_system_score_gemma":0.0000139085,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000283813,"about_ca_topic_score_gemma":0.0004499023,"domain_scores_codex":[0.9992855,0.00007461451,0.0001435862,0.0002364802,0.0001396281,0.0001201547],"domain_scores_gemma":[0.999575,0.00009492691,0.0001364816,0.00009407073,0.00005732464,0.00004223336],"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":[0.0001495191,0.0002661392,0.04835651,0.00008423134,0.000004006784,0.000004735063,0.00119623,0.000002611497,0.8980487,0.0001337397,0.00002508769,0.05172851],"study_design_scores_gemma":[0.0009951942,0.0001714954,0.7808088,0.0001426486,0.00001616203,0.0000176257,0.0009049075,0.005553236,0.2103585,0.0005868266,0.00026443,0.000180197],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9925209,0.00001066753,0.00006123671,0.00015573,0.0001949061,0.0001466712,0.00006902322,0.0000282312,0.006812687],"genre_scores_gemma":[0.9994332,0.0001206328,0.00003274536,0.00009482275,0.00003793676,0.00001375323,0.0000158661,0.000006564755,0.0002444304],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7324523,"threshold_uncertainty_score":0.3548716,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1090940428294997,"score_gpt":0.4157320111493569,"score_spread":0.3066379683198571,"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."}}