{"id":"W4238586438","doi":"10.4018/978-1-60566-902-1.ch006","title":"On Cognitive Properties of Human Factors and Error Models in Engineering and Socialization","year":2011,"lang":"en","type":"book-chapter","venue":"IGI Global eBooks","topic":"Technology and Human Factors in Education and Health","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Socialization; Cognition; Task (project management); Set (abstract data type); Human engineering; Socio-cognitive; Computer science; Cognitive ergonomics; Cognitive science; Psychology; Engineering; Human–computer interaction; Social psychology; Systems engineering; Human factors and ergonomics; Poison control","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":[0.00003617247,0.0001580806,0.0003073645,0.000123385,0.00004428631,0.000003996626,0.00002541873,0.0003241973,0.00001509857],"category_scores_gemma":[0.0000144847,0.0001342629,0.00002690678,0.000006235995,0.000144859,0.00001694862,0.0000195687,0.0002054631,7.080167e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006109684,"about_ca_system_score_gemma":0.00007684669,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006986794,"about_ca_topic_score_gemma":0.00009270164,"domain_scores_codex":[0.9994606,0.000004364388,0.0001942256,0.0001670655,0.00007538957,0.00009831515],"domain_scores_gemma":[0.9997272,0.000008735618,0.0000915192,0.00007223924,0.00004932125,0.00005097808],"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":[0.00004442933,0.0000197999,0.0009579109,0.0003022699,0.00003215354,0.00000152952,0.002085203,3.125358e-7,0.00002289632,0.9961923,0.00001882269,0.0003224113],"study_design_scores_gemma":[0.002206614,0.001246494,0.01540317,0.00735222,0.0003136707,0.00001823883,0.0009362136,0.00007575082,0.001095481,0.9704586,0.0002431149,0.0006504141],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6478908,0.000525447,0.00002623191,0.00002233149,0.00008361045,0.0004000113,0.00002951728,0.00005610277,0.3509659],"genre_scores_gemma":[0.9962213,0.0000252516,0.000009422182,0.0000802918,0.00002175272,0.000005283107,0.00000548627,0.00001390401,0.00361729],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3483305,"threshold_uncertainty_score":0.5475083,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0722893574649121,"score_gpt":0.2991807301770616,"score_spread":0.2268913727121495,"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."}}