{"id":"W2604154223","doi":"10.24908/pceea.v0i0.6483","title":"ARGUMENTATION IN ENGINEERING EDUCATION","year":2017,"lang":"en","type":"article","venue":"Proceedings of the Canadian Engineering Education Association (CEEA)","topic":"E-Learning and Knowledge Management","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Argumentation theory; Argumentative; Exposition (narrative); Process (computing); Articulation (sociology); Critical thinking; Computer science; Mathematics education; Engineering ethics; Wishful thinking; Engineering education; Management science; Pedagogy; Psychology; Epistemology; Engineering; Engineering management; Political science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005557233,0.0001225742,0.0001191569,0.0003966987,0.0002518804,0.0004733207,0.000929181,0.00008773734,0.000005901461],"category_scores_gemma":[0.001281527,0.0001321392,0.00005335401,0.0003157299,0.00001086383,0.0006919969,0.00008905021,0.0001958293,0.00001622194],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002007524,"about_ca_system_score_gemma":0.0006499148,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007019379,"about_ca_topic_score_gemma":0.005180517,"domain_scores_codex":[0.9990157,0.000005447701,0.0002395677,0.0002206715,0.0002561016,0.0002624982],"domain_scores_gemma":[0.9988725,0.00002516767,0.0003972035,0.0002486065,0.0003322271,0.0001242876],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000002088379,0.0002832213,0.4680316,0.0008481185,0.0001037131,2.345119e-7,0.005600272,0.004261099,0.002865541,0.4487523,0.03393784,0.03531408],"study_design_scores_gemma":[0.0002634908,0.00001649806,0.9153746,0.0004872062,0.00002233464,0.000002026424,0.0003270191,0.04344446,0.002453845,0.0006805109,0.03654991,0.0003780776],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8142238,0.0004925311,0.003107464,0.06409946,0.02083784,0.002128012,0.000009705698,0.0005311681,0.09457001],"genre_scores_gemma":[0.9920615,0.000007092072,0.003784505,0.0001253136,0.0001503451,0.00006894315,0.000002610557,0.00001552348,0.003784155],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4480717,"threshold_uncertainty_score":0.999593,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006051826500079564,"score_gpt":0.2167778044444206,"score_spread":0.2107259779443411,"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."}}