{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001352332,0.0002124752,0.0001869139,0.00007657366,0.0002739097,0.00009462477,0.0003618636,0.00008412099,0.00002073453],"category_scores_gemma":[0.00005317474,0.0001405405,0.00004031655,0.00005169389,0.0003654385,0.0001492586,0.0001595,0.000142833,0.0000193024],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003982093,"about_ca_system_score_gemma":0.0001677564,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003691562,"about_ca_topic_score_gemma":0.00009600549,"domain_scores_codex":[0.9989293,0.00002014429,0.0001770532,0.0004095851,0.0003129492,0.0001510171],"domain_scores_gemma":[0.9989554,0.0001053366,0.0001986001,0.0002398237,0.0004503559,0.00005048386],"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":[0.000005791938,0.00001463556,0.0001527287,0.00004115847,0.00002891902,0.000002979332,0.000438853,1.059282e-7,0.00002712192,0.9935095,0.000066771,0.005711448],"study_design_scores_gemma":[0.0003777257,0.0008193973,0.02674724,0.003029146,0.00008857175,0.00004327868,0.0002110378,0.00001300873,0.0002026111,0.9677088,0.0002302033,0.0005290277],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.01023433,0.00005296179,0.01692676,0.0000825844,0.000042419,0.0004521645,0.00003672608,0.0000664719,0.9721056],"genre_scores_gemma":[0.9929908,0.000008486409,0.0002962117,0.0003174154,0.00002988582,0.00001604878,0.00000201839,0.000007625347,0.006331514],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9827564,"threshold_uncertainty_score":0.5731077,"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."}}