{"id":"W2313535634","doi":"10.28945/1276","title":"Experiences in Teaching Ethics to ICT Students","year":2010,"lang":"en","type":"article","venue":"Informing Science and IT Education Conference","topic":"Ethics in Business and Education","field":"Decision Sciences","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Multidisciplinary approach; Engineering ethics; Information and Communications Technology; Information ethics; Sociology; Medical education; Computer science; Social science; Engineering; Medicine","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":["metaresearch","scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.01720345,0.0001210697,0.0001446061,0.0008238023,0.0008829407,0.002043063,0.001709257,0.0001150303,0.000168915],"category_scores_gemma":[0.0488549,0.00009542712,0.00001527657,0.001571204,0.0006886612,0.002382615,0.0002727396,0.000857947,0.00009132292],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005609304,"about_ca_system_score_gemma":0.005793462,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005451264,"about_ca_topic_score_gemma":0.001245205,"domain_scores_codex":[0.9960795,0.00005600033,0.0005477784,0.0005146054,0.002476722,0.0003253646],"domain_scores_gemma":[0.9957355,0.001298428,0.0001890383,0.000543095,0.001973762,0.0002601318],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.000007624598,0.0001436747,0.1088257,0.00001006877,7.767684e-7,2.958195e-7,0.4771509,0.000009053122,0.004006311,0.09999318,0.001512835,0.3083396],"study_design_scores_gemma":[0.0001784398,0.0000903815,0.3697844,0.0002476359,0.000003298331,0.0000238893,0.4905672,0.0008522357,0.00206747,0.04280812,0.09283081,0.0005461118],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9647934,0.000006882891,0.0004830221,0.01616651,0.003310238,0.0001767585,4.970277e-7,0.00001485048,0.01504779],"genre_scores_gemma":[0.9915046,0.00001355029,0.002817003,0.004537702,0.0001156577,0.00007581495,6.225293e-7,0.000003217278,0.0009318492],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3077934,"threshold_uncertainty_score":0.9998428,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2600208556694954,"score_gpt":0.5266862729465199,"score_spread":0.2666654172770245,"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."}}