{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002677284,0.001069046,0.0006636496,0.001657039,0.0007066356,0.003043477,0.001133157,0.001445528,0.003126082],"category_scores_gemma":[0.009550049,0.0003252714,0.001033671,0.001485362,0.00554778,0.004589487,0.001486959,0.002422973,0.0003650413],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002330867,"about_ca_system_score_gemma":0.001045772,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003736881,"about_ca_topic_score_gemma":0.002006922,"domain_scores_codex":[0.9986361,0.0007290377,0.00007391981,0.0001912737,0.0002726072,0.00009704788],"domain_scores_gemma":[0.987288,0.01085925,0.0004972727,0.000619538,0.0005822982,0.0001535633],"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":[0.00001260304,0.00003316319,0.001271945,0.00009049972,0.00002602522,0.0001186664,0.001506473,0.021527,0.0002642433,0.9555159,0.0009575021,0.01867603],"study_design_scores_gemma":[0.000004087605,0.00002327833,0.001061848,0.00006532475,0.00001150688,0.00008559674,0.0002093339,0.0368426,0.00009902415,0.9591722,0.002410175,0.00001506278],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.09815735,0.01079171,0.7320313,0.01149599,0.0002196147,0.0000958992,0.0003109079,0.000285442,0.1466117],"genre_scores_gemma":[0.9329783,0.003615368,0.05563295,0.0003750673,0.0002299469,0.0002002462,0.0001558756,0.00005100202,0.006761198],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003736881,"threshold_uncertainty_score":0.01691175,"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."}}