{"id":"W1973317061","doi":"10.4018/jcini.2009070101","title":"The Cognitive Informatics Theory and Mathematical Models of Visual Information Processing in the Brain","year":2009,"lang":"en","type":"article","venue":"International Journal of Cognitive Informatics and Natural Intelligence","topic":"Cognitive Computing and Networks","field":"Computer Science","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Computer science; Gestalt psychology; Information processing; Cognition; Visual processing; Artificial intelligence; Information theory; Human visual system model; Visual perception; Perception; Cognitive science; Semantic memory; Visual analytics; Information processing theory; Visualization; Cognitive psychology; Psychology","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":[0.002689777,0.0001584442,0.0002087811,0.0002599006,0.0001431067,0.0005201879,0.0006852199,0.00006031065,0.000001143183],"category_scores_gemma":[0.00147233,0.00009047815,0.00006831335,0.0002876758,0.0002430413,0.002653118,0.0001639767,0.000512693,0.000001827155],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002120519,"about_ca_system_score_gemma":0.00008967034,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":8.678483e-7,"about_ca_topic_score_gemma":0.000001009725,"domain_scores_codex":[0.9977083,0.0001388916,0.001230805,0.00005179922,0.0006799943,0.0001902689],"domain_scores_gemma":[0.9936322,0.003627053,0.0009562699,0.00006360613,0.001668158,0.00005269343],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001928705,0.00004861591,0.00003017032,0.00002182144,0.00003449397,0.000004169882,0.02620618,0.0001545635,0.000002178065,0.06832708,0.00001897894,0.9049588],"study_design_scores_gemma":[0.0005980073,0.0004670503,0.001733364,0.001574586,0.00002811227,0.0006084109,0.02493397,0.7665932,0.0003863858,0.2028248,0.00006191967,0.0001902077],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1358188,0.0008632093,0.8608786,0.0006715056,0.0001584441,0.0001900719,0.000004027631,0.00000840695,0.001406888],"genre_scores_gemma":[0.9953183,0.0004837056,0.002468325,0.001666423,0.00005023987,0.00000210381,0.000003411081,0.000002259977,0.000005267911],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9047686,"threshold_uncertainty_score":0.5016184,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01434865958314531,"score_gpt":0.3124675144471255,"score_spread":0.2981188548639802,"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."}}