{"id":"W1967666142","doi":"10.1109/coginf.2008.4639184","title":"A cognitive informatics theory for visual information processing","year":2008,"lang":"en","type":"article","venue":"","topic":"Cognitive Computing and Networks","field":"Computer Science","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary; University of Alberta","funders":"","keywords":"Computer science; Gestalt psychology; Information processing; Cognition; Human visual system model; Visual processing; Informatics; Visual perception; Visual analytics; Perception; Information theory; Information processing theory; Artificial intelligence; Cognitive science; Human–computer interaction; Visualization; Cognitive psychology; Psychology; Engineering","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":[0.000319497,0.00009218421,0.00009302523,0.00009323092,0.0003064755,0.000116805,0.0001971882,0.00004176602,0.000003965949],"category_scores_gemma":[0.0001475048,0.000078397,0.00004410504,0.0002484353,0.00004505963,0.001494358,0.0001162979,0.00007703229,0.0000462142],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001327015,"about_ca_system_score_gemma":0.000102138,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":6.561347e-7,"about_ca_topic_score_gemma":2.852026e-7,"domain_scores_codex":[0.9993072,0.00002286157,0.0002469591,0.00007395566,0.0001432481,0.0002057502],"domain_scores_gemma":[0.9990399,0.0003396533,0.0001114903,0.00007174708,0.0003862327,0.00005098212],"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":[0.00002517426,0.00002733783,0.000103713,0.0000297092,0.000009407896,6.524444e-7,0.006502182,0.00004401668,0.000001336025,0.01347051,0.000760961,0.979025],"study_design_scores_gemma":[0.0008279989,0.0001678537,0.0009090557,0.00008167732,0.000007088207,0.00005580041,0.0007774207,0.9893985,0.0005100095,0.004897994,0.002144905,0.0002216863],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0161016,0.000028906,0.9673579,0.00004137197,0.0001021381,0.0002263345,0.000001174949,0.0002565013,0.01588405],"genre_scores_gemma":[0.9579591,0.000005338408,0.04051498,0.001261973,0.00006454827,0.00002461185,0.00001207653,0.000003343572,0.0001540248],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9893545,"threshold_uncertainty_score":0.3196937,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02043680481816198,"score_gpt":0.2744688281759629,"score_spread":0.254032023357801,"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."}}