{"id":"W2982699117","doi":"10.1038/s41467-019-12623-6","title":"Convergent evolution of face spaces across human face-selective neuronal groups and deep convolutional networks","year":2019,"lang":"en","type":"article","venue":"Nature Communications","topic":"Face recognition and analysis","field":"Computer Science","cited_by":126,"is_retracted":false,"has_abstract":true,"ca_institutions":"Krembil Foundation","funders":"European Commission; Canadian Institute for Advanced Research","keywords":"Face (sociological concept); Convolutional neural network; Computer science; Artificial intelligence; Computational biology; Evolutionary biology; Biology; Sociology; Social science","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":[0.0002230764,0.0001225302,0.0001842157,0.00008854624,0.0003446163,0.00006983499,0.001014186,0.0001818311,0.00002174923],"category_scores_gemma":[0.00004056278,0.0001221269,0.00009004737,0.0005467491,0.0001903008,0.0003077641,0.0005899772,0.0006057214,0.0000227266],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000810944,"about_ca_system_score_gemma":0.0000451587,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004069169,"about_ca_topic_score_gemma":0.0003960393,"domain_scores_codex":[0.9989203,0.0001746018,0.0002216461,0.0002660213,0.0002215782,0.0001958933],"domain_scores_gemma":[0.998366,0.0002072329,0.0001734547,0.0009014235,0.0002789547,0.00007294375],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00002233236,0.0006430502,0.1227597,0.00004690335,0.0004139283,9.561498e-7,0.003448488,0.007396278,0.008183872,0.8494459,0.001924354,0.005714234],"study_design_scores_gemma":[0.000781347,0.0001040296,0.2595006,0.00003950129,0.00004200248,0.00001553183,0.0009934745,0.7302402,0.0003440516,0.002476409,0.005114858,0.0003480539],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5231652,0.02062795,0.4449821,0.006848041,0.0005689423,0.0007669994,0.0001018816,0.0002556896,0.002683181],"genre_scores_gemma":[0.996164,0.000347319,0.003071042,0.000154947,0.00001618092,0.00001413902,0.00007102402,0.000006330286,0.0001549962],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8469695,"threshold_uncertainty_score":0.4980191,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01341040282910405,"score_gpt":0.2822687972315983,"score_spread":0.2688583944024943,"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."}}