{"id":"W1876665131","doi":"10.1017/cbo9780511635465.011","title":"Structural Representation of Object Shape in the Brain","year":2009,"lang":"en","type":"book-chapter","venue":"Cambridge University Press eBooks","topic":"Retinal Imaging and Analysis","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Representation (politics); Object (grammar); Computer science; Artificial intelligence; Curse of dimensionality; Coding (social sciences); Orientation (vector space); Computer vision; Position (finance); Pattern recognition (psychology); Cognitive science; Mathematics; Psychology; Geometry","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001162733,0.0001812977,0.0004158223,0.0002346176,0.0000506482,0.00001369003,0.0002207166,0.0001325012,0.000006187595],"category_scores_gemma":[0.00003031024,0.0001506872,0.0002663677,0.00002338894,0.0001542122,0.00003834595,0.00004968251,0.0003767509,0.00000172049],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006780618,"about_ca_system_score_gemma":0.00005698206,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003201752,"about_ca_topic_score_gemma":0.000002927904,"domain_scores_codex":[0.9990418,0.00006022575,0.0001903746,0.0002765802,0.0002982838,0.0001327623],"domain_scores_gemma":[0.9991342,0.00009783295,0.000193693,0.0004190016,0.0001071042,0.00004816294],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001859929,0.00007733228,0.001370031,0.0008075229,0.00122028,0.005228264,0.002130448,0.00004989758,0.003172693,0.7882779,0.08532659,0.1104791],"study_design_scores_gemma":[0.00803546,0.001021919,0.03363144,0.003218868,0.005654072,0.0007127107,0.002104824,0.006922699,0.003476054,0.0002025373,0.9332569,0.001762551],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.01796538,0.0001055208,0.00001239137,0.0002687,0.00002557131,0.0002645413,0.00002809937,0.00002432343,0.9813055],"genre_scores_gemma":[0.1002404,0.00003976221,0.00005220278,0.0002142191,0.00007112855,1.543704e-7,0.00007535874,0.00001295701,0.8992938],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.8479303,"threshold_uncertainty_score":0.6144847,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02822603692435576,"score_gpt":0.2559123614625048,"score_spread":0.227686324538149,"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."}}