{"id":"W2081431990","doi":"10.4018/jcini.2007100101","title":"On the Cognitive Processes of Human Perception with Emotions, Motivations, and Attitudes","year":2007,"lang":"en","type":"article","venue":"International Journal of Cognitive Informatics and Natural Intelligence","topic":"Cognitive Computing and Networks","field":"Computer Science","cited_by":79,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Computer science; Perception; Cognition; Process (computing); Set (abstract data type); Object (grammar); Cognitive model; Informatics; Relation (database); Cognitive science; Human–computer interaction; Embodied cognition; Cognitive psychology; Artificial intelligence; Psychology; Programming language","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":[0.0006720584,0.0001196828,0.0001387373,0.0002453381,0.0001389106,0.0001388665,0.0003123815,0.00003489797,0.000006921114],"category_scores_gemma":[0.0007530192,0.00007286575,0.00003512804,0.000241137,0.0002362135,0.000552923,0.000107515,0.0003088693,0.00000139829],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002205229,"about_ca_system_score_gemma":0.00005287279,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003850233,"about_ca_topic_score_gemma":0.000008495602,"domain_scores_codex":[0.9988075,0.00003327081,0.000508176,0.00008228591,0.0004533221,0.0001153777],"domain_scores_gemma":[0.9939877,0.002336731,0.000556393,0.00004660585,0.003022234,0.00005034722],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.000706122,0.0004593969,0.022484,0.0001421217,0.0007544476,0.00004799111,0.02014562,0.0001377468,0.0002891836,0.07584561,0.0001011922,0.8788866],"study_design_scores_gemma":[0.002480824,0.004781603,0.8500987,0.01724011,0.0002077268,0.002035971,0.02738126,0.03399561,0.03055413,0.03010852,0.00007377267,0.001041809],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5931724,0.0001613848,0.4059583,0.0001326686,0.00009896351,0.00007969276,0.000003700047,0.000006110097,0.000386749],"genre_scores_gemma":[0.9972178,0.000292733,0.001981447,0.0004145137,0.00007042266,0.000001070146,0.000003870308,0.000003556205,0.0000145536],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8778448,"threshold_uncertainty_score":0.2971379,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02091505898279073,"score_gpt":0.310181368652189,"score_spread":0.2892663096693983,"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."}}