{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002055274,0.0004350918,0.0003096336,0.001120533,0.0005932,0.0009530145,0.00084877,0.001350992,0.05519812],"category_scores_gemma":[0.007878268,0.0001862093,0.0003192386,0.0006076639,0.0008671572,0.000766539,0.0007416009,0.0006896497,0.008015986],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006771584,"about_ca_system_score_gemma":0.00113471,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003591407,"about_ca_topic_score_gemma":0.002246941,"domain_scores_codex":[0.9991916,0.0001668186,0.00006264329,0.0002048472,0.0003143203,0.00005972934],"domain_scores_gemma":[0.9962088,0.001527557,0.0004393928,0.0003175396,0.001120262,0.0003864323],"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":[0.005007928,0.00112959,0.102766,0.001353028,0.0001174192,0.00143527,0.0009916823,0.001476494,0.3022228,0.02703252,0.03066538,0.5258021],"study_design_scores_gemma":[0.00077219,0.003371073,0.7302486,0.0007658235,0.0003264246,0.01309872,0.001018512,0.03453551,0.06957433,0.06211287,0.0839578,0.0002181421],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7628794,0.00237431,0.08427769,0.004642862,0.000924792,0.001164287,0.0078851,0.00227472,0.1335768],"genre_scores_gemma":[0.9300248,0.0003306434,0.05566322,0.0009075904,0.0002057543,0.000350253,0.002912053,0.0002261826,0.009379461],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05519812,"threshold_uncertainty_score":0.1846561,"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."}}