{"id":"W2792000528","doi":"10.21037/aes.2018.ab057","title":"AB057. Diagnostic information for the recognition of 3D forms in humans","year":2018,"lang":"en","type":"article","venue":"Annals of Eye Science","topic":"Color perception and design","field":"Psychology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Sleep & Circadian Network; Université de Montréal","funders":"","keywords":"Perception; A priori and a posteriori; Computer science; Stimulus (psychology); Artificial intelligence; Psychophysics; Representation (politics); Visual field; Cognitive psychology; Psychology; Pattern recognition (psychology); Epistemology","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":[0.001100174,0.00003805847,0.00006552635,0.0001580449,0.00008326427,0.00001278106,0.0001973196,0.00002744613,0.0005041839],"category_scores_gemma":[0.0007129466,0.00002636152,0.00002669528,0.0003960253,0.0004984984,0.0004115654,0.00001746353,0.00003095036,0.0001321289],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000005013801,"about_ca_system_score_gemma":0.00003510029,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001088179,"about_ca_topic_score_gemma":0.0001034844,"domain_scores_codex":[0.9993951,0.00001531679,0.0002237152,0.00008136209,0.0001393134,0.000145244],"domain_scores_gemma":[0.9990571,0.0003087781,0.0001176034,0.0001604987,0.000335108,0.00002094282],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0004689556,0.0003843505,0.01453725,0.00006696869,0.0000180313,4.131374e-7,0.05243545,0.00003589984,0.009393667,0.02785189,0.01836777,0.8764393],"study_design_scores_gemma":[0.0004991748,0.000905229,0.9750133,0.00005031168,0.000006166063,6.647128e-7,0.001693794,0.0005653671,0.005436027,0.009974369,0.005756196,0.00009938822],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9713262,0.00002235482,0.004625792,0.0006950732,0.0002997418,0.0003748173,0.00001842699,0.00000883323,0.02262871],"genre_scores_gemma":[0.9989237,0.00002054296,0.0001970238,0.0007138388,0.00002832168,0.00003912677,0.000002843936,0.000001472625,0.00007308865],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.960476,"threshold_uncertainty_score":0.5520461,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.153000242831824,"score_gpt":0.4294463789840877,"score_spread":0.2764461361522637,"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."}}