{"id":"W4399177633","doi":"10.1007/978-3-031-57353-8_6","title":"Representation, Attention, and Perceptual Learning","year":2024,"lang":"en","type":"book-chapter","venue":"Synthese Library/Synthese library","topic":"Face Recognition and Perception","field":"Neuroscience","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia, Okanagan Campus; University of British Columbia","funders":"","keywords":"Representation (politics); Perception; Perceptual learning; Cognitive psychology; Psychology; Cognitive science; Computer science; Political science; 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":[0.0001676651,0.000631057,0.0004558442,0.0007579766,0.0003300133,0.002797969,0.0007948414,0.0009792215,0.06177372],"category_scores_gemma":[0.0007091843,0.0002980573,0.0002728038,0.0009895378,0.001385115,0.00287708,0.0004617669,0.001332795,0.01822374],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007742148,"about_ca_system_score_gemma":0.0004815026,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001440873,"about_ca_topic_score_gemma":0.002617127,"domain_scores_codex":[0.9999182,0.00001225541,0.000003427341,0.00002204534,0.00003703315,0.000006936948],"domain_scores_gemma":[0.9998469,0.00009355082,0.000007720688,0.00001837554,0.00002291927,0.00001050782],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00003720007,0.00003241756,0.0000882038,0.0005684325,0.00001922491,0.00006757842,0.0002065569,0.0009874656,0.003227844,0.3024122,0.1691571,0.5231957],"study_design_scores_gemma":[0.000007363099,0.0000220072,0.0006426774,0.0002593187,0.00001110577,0.000327557,0.0001345381,0.001589494,0.001494137,0.4731981,0.5222956,0.00001814362],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.001860206,0.1339796,0.05274832,0.00391773,0.001769688,0.0000236795,0.0004024727,0.0009858391,0.8043125],"genre_scores_gemma":[0.04935325,0.1031961,0.0337578,0.001265617,0.003319411,0.000103028,0.0008444698,0.0005430854,0.8076172],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.06177372,"threshold_uncertainty_score":0.2066537,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03753699537636998,"score_gpt":0.2474183934589322,"score_spread":0.2098813980825622,"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."}}