{"id":"W2073385394","doi":"10.1016/j.cub.2011.11.061","title":"Measuring Internal Representations from Behavioral and Brain Data","year":2012,"lang":"en","type":"article","venue":"Current Biology","topic":"Face Recognition and Perception","field":"Neuroscience","cited_by":88,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université de Montréal","funders":"Economic and Social Research Council","keywords":"Scopus; Cognition; Perception; Cognitive science; Context (archaeology); Cognitive psychology; Psychology; Biology; MEDLINE; 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":[0.0008718706,0.0005968397,0.0005881204,0.001275857,0.0001474349,0.001350424,0.0004421097,0.0005726519,0.001386935],"category_scores_gemma":[0.006549037,0.0002804462,0.0005768272,0.001017869,0.0004276812,0.001830581,0.000674852,0.0006313948,0.0006673759],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003172507,"about_ca_system_score_gemma":0.0003742031,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007197384,"about_ca_topic_score_gemma":0.001073101,"domain_scores_codex":[0.9994953,0.0001007159,0.00003746377,0.0001421592,0.0001713836,0.00005313475],"domain_scores_gemma":[0.997887,0.000812531,0.0004282301,0.000427613,0.0003297305,0.0001149334],"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":[0.0005050632,0.0004286755,0.0710135,0.0004862468,0.0005636622,0.0001192717,0.0002235498,0.01215148,0.5324013,0.002159342,0.001516445,0.3784314],"study_design_scores_gemma":[0.00005249728,0.0005924928,0.5682415,0.00008740502,0.0005776706,0.001068701,0.0004337309,0.198229,0.2080935,0.02059731,0.001875223,0.0001509158],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.668919,0.0005129209,0.3222953,0.0002854303,0.00009875407,0.0001741462,0.001942544,0.001372114,0.004399849],"genre_scores_gemma":[0.9200178,0.0004987428,0.07682128,0.000145049,0.000070337,0.0001381184,0.001518171,0.0001761259,0.00061447],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001386935,"threshold_uncertainty_score":0.004639804,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.5121656083569439,"score_gpt":0.4573535302051875,"score_spread":0.05481207815175643,"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."}}