{"id":"W2063832198","doi":"10.4018/ijssci.2013070104","title":"Formal Models and Cognitive Mechanisms of the Human Sensory System","year":2013,"lang":"en","type":"article","venue":"International Journal of Software Science and Computational Intelligence","topic":"Cognitive Computing and Networks","field":"Computer Science","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Sensory system; Computer science; Perception; Cognition; Set (abstract data type); Neuroscience; Cognitive systems; Cognitive model; Human–computer interaction; Cognitive science; Artificial intelligence; Psychology","routes":{"ca_aff":true,"ca_fund":true,"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":[0.001407205,0.0006969237,0.000362939,0.0009513035,0.000733856,0.002931421,0.001566119,0.001151194,0.003647002],"category_scores_gemma":[0.002501318,0.0003260886,0.0009323974,0.0005998174,0.005073652,0.00329192,0.001186367,0.00120639,0.0005163365],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001611233,"about_ca_system_score_gemma":0.001433644,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003504759,"about_ca_topic_score_gemma":0.002238653,"domain_scores_codex":[0.9991648,0.0003285888,0.00005895611,0.0001123487,0.0002390885,0.00009622114],"domain_scores_gemma":[0.9986961,0.0007391348,0.0001436921,0.0001810686,0.0001666847,0.00007328465],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.000005073353,0.000006374574,0.0000427278,0.00002864497,0.000004704132,0.0000317626,0.000158787,0.007400492,0.0002359259,0.9902505,0.0002711639,0.001563837],"study_design_scores_gemma":[0.00001711321,0.00001436491,0.00007180826,0.00003631923,0.000008682566,0.00005179549,0.0001003419,0.0290864,0.0002026839,0.9633287,0.007072006,0.000009928234],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03761274,0.003905312,0.8799809,0.004337851,0.0001425105,0.0001274484,0.0004978589,0.0004956895,0.07289966],"genre_scores_gemma":[0.8148758,0.003028305,0.1674341,0.0005642421,0.0002523526,0.0004940885,0.0004477856,0.00007267775,0.01283064],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003647002,"threshold_uncertainty_score":0.01220042,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02879130796040456,"score_gpt":0.2839212865503647,"score_spread":0.2551299785899601,"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."}}