{"id":"W4240100958","doi":"10.1145/505999.506001","title":"A comparison of three delivery systems for teaching an information technology course","year":2002,"lang":"en","type":"article","venue":"Communications of the ACM","topic":"Big Data and Business Intelligence","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval","funders":"","keywords":"Knowledge management; Deliverable; Leverage (statistics); Organizational learning; Computer science; Process (computing); Macro; Knowledge economy; Organizational structure; Process management; Business; Management; Artificial intelligence","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":[0.00863812,0.0005288487,0.0005514611,0.004290473,0.001351536,0.003415703,0.001788441,0.001416557,0.02333191],"category_scores_gemma":[0.04113128,0.0004155712,0.0008325747,0.002611825,0.000467021,0.002277205,0.001725963,0.00106579,0.004938815],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005260543,"about_ca_system_score_gemma":0.003487245,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01001891,"about_ca_topic_score_gemma":0.0103959,"domain_scores_codex":[0.9941183,0.002605016,0.0004153659,0.0003893685,0.001801818,0.0006700897],"domain_scores_gemma":[0.9659931,0.01992315,0.001980854,0.002332349,0.005392269,0.004378207],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.01485299,0.008834301,0.06901133,0.001640222,0.0002887839,0.0002396316,0.001847557,0.01395127,0.00622354,0.01483774,0.01721779,0.8510548],"study_design_scores_gemma":[0.006414867,0.03741745,0.712597,0.000861624,0.00132824,0.0006272823,0.009184339,0.1211085,0.01506775,0.01027267,0.08454702,0.0005732271],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9028127,0.001201199,0.03573763,0.002312592,0.0005108356,0.002345219,0.002090126,0.002982359,0.05000731],"genre_scores_gemma":[0.952109,0.0005747833,0.03147281,0.0004506161,0.00007833178,0.0009328452,0.001525235,0.0002952109,0.01256114],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02333191,"threshold_uncertainty_score":0.078053,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1727070289987594,"score_gpt":0.3570518764084382,"score_spread":0.1843448474096789,"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."}}