{"id":"W2156440005","doi":"10.1371/journal.pbio.1002245","title":"Face Patch Resting State Networks Link Face Processing to Social Cognition","year":2015,"lang":"en","type":"article","venue":"PLoS Biology","topic":"Face Recognition and Perception","field":"Neuroscience","cited_by":64,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"National Eye Institute; National Institute of Mental Health; McKnight Foundation; Canadian Institutes of Health Research; New York Stem Cell Foundation; National Institutes of Health; National Science Foundation","keywords":"Default mode network; Macaque; Superior temporal sulcus; Neuroscience; Social cognition; Resting state fMRI; Cognition; Biology; Functional magnetic resonance imaging; Prefrontal cortex; Cognitive psychology; Mnemonic; Psychology","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":[0.0001933221,0.0001225854,0.0001467104,0.00006759006,0.0002022332,0.00005223891,0.000115401,0.0001375502,0.00004491023],"category_scores_gemma":[0.0006370475,0.0001155502,0.00002691763,0.0002626659,0.00008329442,0.0001190081,0.00006332075,0.0002205623,0.0004924015],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004074659,"about_ca_system_score_gemma":0.00004775167,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002034272,"about_ca_topic_score_gemma":0.00002368482,"domain_scores_codex":[0.9987292,0.0002651111,0.0001924957,0.0003660833,0.000110724,0.0003364435],"domain_scores_gemma":[0.9995046,0.00009732408,0.00008837297,0.00006829233,0.0001066504,0.0001347639],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002466963,0.0001527605,0.001408619,0.00004415668,0.000007250095,0.00001112693,0.00802146,0.001671345,0.6144527,0.00005863836,0.001519293,0.3724059],"study_design_scores_gemma":[0.006972043,0.00305545,0.008876564,0.0006294366,0.0001734691,0.000169554,0.007171853,0.539709,0.3685152,0.01573,0.04545542,0.003541977],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9609455,0.00002370188,0.03201023,0.003160481,0.0002869716,0.0003644895,0.00005243778,0.000259307,0.002896835],"genre_scores_gemma":[0.9970129,0.00001934637,0.000286509,0.002038227,0.000327111,0.00003410228,0.00004358729,0.00001667628,0.0002215765],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5380377,"threshold_uncertainty_score":0.6328989,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1699352043675258,"score_gpt":0.3462201492855029,"score_spread":0.176284944917977,"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."}}