{"id":"W4308709549","doi":"10.24908/pceea.vi.15977","title":"Evidence of Sociotechnical Thinking in Engineering Students","year":2022,"lang":"en","type":"article","venue":"Proceedings of the Canadian Engineering Education Association (CEEA)","topic":"Engineering Education and Curriculum Development","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Sociotechnical system; Thematic analysis; Engineering education; Technical writing; Vocational education; Class (philosophy); Qualitative research; Qualitative analysis; Mathematics education; Engineering ethics; Computer science; Engineering; Psychology; Pedagogy; Higher education; Knowledge management; Sociology; Engineering management; Artificial intelligence; Social science","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":true,"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":[0.0008657447,0.0001685691,0.0002174335,0.0005212144,0.000114684,0.00004546605,0.000675524,0.0001041114,0.00005562266],"category_scores_gemma":[0.0005646304,0.0001946792,0.00008642422,0.001069464,0.000008370078,0.0001816546,0.00008626754,0.000509444,0.000002247398],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00454428,"about_ca_system_score_gemma":0.0004343835,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001048053,"about_ca_topic_score_gemma":0.0005078576,"domain_scores_codex":[0.9983608,0.000007195468,0.0004614658,0.0001650595,0.0006788186,0.0003266625],"domain_scores_gemma":[0.9993334,0.00007303467,0.0001694702,0.0001204978,0.000178435,0.0001252049],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.000004351821,0.0002419477,0.3328046,0.001699362,0.0002005419,4.099795e-7,0.007439794,0.605536,0.01915095,0.01063667,0.02151483,0.0007705263],"study_design_scores_gemma":[0.0005968887,0.00005505867,0.9231202,0.001820557,0.00008267524,0.00001618193,0.001726425,0.03718897,0.01149003,0.0002722943,0.02251909,0.001111618],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9940051,0.0007045254,0.00005880713,0.001258778,0.00271974,0.0004618518,0.00001171372,0.0001985341,0.0005808983],"genre_scores_gemma":[0.9984234,0.00003532919,0.0009378724,0.00006148135,0.00005729521,0.0001790894,0.000003623838,0.0000432616,0.000258657],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5903156,"threshold_uncertainty_score":0.9992771,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007283951640028733,"score_gpt":0.2189870149961425,"score_spread":0.2117030633561137,"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."}}