{"id":"W4232490153","doi":"10.4018/978-1-60566-170-4.ch004","title":"On the Cognitive Processes of Human Perception with Emotions, Motivations, and Attitudes","year":2011,"lang":"en","type":"book-chapter","venue":"IGI Global eBooks","topic":"Cognitive Science and Mapping","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Perception; Cognition; Set (abstract data type); Process (computing); Object (grammar); Computer science; Cognitive model; Relation (database); Cognitive science; Cognitive psychology; Psychology; Artificial intelligence","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":[0.0007130295,0.0008648735,0.0004112049,0.0009150713,0.0005653894,0.002542587,0.00085557,0.0008637374,0.005603741],"category_scores_gemma":[0.001238685,0.0002686449,0.0008429993,0.00124627,0.004207175,0.00469108,0.001159428,0.001799027,0.001210112],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001217057,"about_ca_system_score_gemma":0.000847403,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001402183,"about_ca_topic_score_gemma":0.0007262456,"domain_scores_codex":[0.9996822,0.0001324889,0.0000123493,0.00005713186,0.00009118437,0.00002464317],"domain_scores_gemma":[0.9996352,0.0002446934,0.00002512446,0.00003705739,0.00004131599,0.00001650248],"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":[0.000004453414,0.000008214386,0.000107455,0.0001075232,0.00000932292,0.00005033371,0.0008817266,0.001682529,0.0006517037,0.9758443,0.00165493,0.01899743],"study_design_scores_gemma":[0.000002927526,0.00001611161,0.0004140023,0.00007666052,0.000008502301,0.0001261898,0.0001705349,0.004682177,0.0002528759,0.9718574,0.02238176,0.00001090138],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"other","genre_scores_codex":[0.02624553,0.02988822,0.6704834,0.007372188,0.0004482007,0.00008109166,0.0002060367,0.0005180315,0.2647573],"genre_scores_gemma":[0.6358969,0.02712531,0.2686906,0.001641667,0.0007001876,0.0004110961,0.0003693317,0.0002167471,0.0649481],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.005603741,"threshold_uncertainty_score":0.01874638,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04039393506254904,"score_gpt":0.2644631730050045,"score_spread":0.2240692379424555,"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."}}