{"id":"W1598492784","doi":"10.28945/332","title":"Providing a Technology Edge for Liberal Arts Students","year":2003,"lang":"en","type":"article","venue":"Journal of Information Technology Education Research","topic":"Library Science and Information Literacy","field":"Social Sciences","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"University of Alberta","keywords":"Multidisciplinary approach; Liberal arts education; The arts; Engineering ethics; Political science; Sociology; Higher education; Social science; Engineering; Law","routes":{"ca_aff":true,"ca_fund":true,"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":[0.004880667,0.00008037098,0.0001538664,0.00394143,0.0008887231,0.0003870839,0.0009325632,0.0002620678,0.0001304761],"category_scores_gemma":[0.00520461,0.00007164721,0.00006108674,0.002960388,0.000462865,0.01374084,0.00005536559,0.0004958806,0.00009829702],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002447362,"about_ca_system_score_gemma":0.003398715,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005386818,"about_ca_topic_score_gemma":0.000001352796,"domain_scores_codex":[0.9976895,0.0001155669,0.0007847464,0.00007715547,0.0009013216,0.0004317268],"domain_scores_gemma":[0.9962304,0.0001677463,0.0005492548,0.0001923304,0.002730802,0.0001294522],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001973815,0.0001388871,0.01163854,0.00002853816,0.000014535,2.411194e-7,0.008264363,0.00000454162,0.00005405719,0.8571473,0.04452615,0.07816315],"study_design_scores_gemma":[0.0003463296,0.0001975065,0.0003085177,0.00005117356,0.000002945821,0.00002234153,0.05505034,0.00001120608,0.002165584,0.06224765,0.8795177,0.00007874343],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7840326,0.0005490113,0.01033377,0.1234078,0.003684576,0.002799122,0.000007781519,0.0002603484,0.07492498],"genre_scores_gemma":[0.9614289,0.0002851664,0.03127143,0.001932394,0.0003121766,0.000238947,0.00001051402,0.00001080533,0.004509639],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8349915,"threshold_uncertainty_score":0.9961775,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04598742261508304,"score_gpt":0.4524325700818678,"score_spread":0.4064451474667847,"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."}}