{"id":"W2470481616","doi":"","title":"An Investigation of Technology Use and Learning Styles as Predictors of Undergraduate Information Technology Management Students' Academic Achievement at Ryerson University","year":2008,"lang":"en","type":"article","venue":"NSUWorks (Nova Southeastern University)","topic":"Online and Blended Learning","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Mathematics education; Academic achievement; Learning styles; Information technology; Psychology; Medical education; Computer science; Medicine","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002754275,0.0001185211,0.0001812852,0.001229534,0.0004933153,0.00001097046,0.0003919038,0.0003067826,0.000007371118],"category_scores_gemma":[0.00003663858,0.0001423304,0.00003498408,0.001205796,0.000692632,0.000861177,0.0002845387,0.0004193662,0.000007542234],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001359267,"about_ca_system_score_gemma":0.00009743213,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002978585,"about_ca_topic_score_gemma":0.0002558639,"domain_scores_codex":[0.9988278,0.0002052429,0.0001869446,0.0001988082,0.0003556053,0.0002256457],"domain_scores_gemma":[0.9992408,0.00004075695,0.0003409105,0.0001523299,0.000139331,0.00008588585],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"qualitative","study_design_scores_codex":[0.00009018752,0.0000312433,0.9707071,0.00002526293,0.00007387577,0.00001343254,0.006088951,0.0003230454,0.0001668989,0.01840138,0.000003208804,0.004075482],"study_design_scores_gemma":[0.003998097,0.001029373,0.2951789,0.0004817568,0.0004027989,0.00001259427,0.6382911,0.0004056728,0.0008006885,0.0009751718,0.05772825,0.0006956674],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9973027,0.00001739354,0.0006904611,0.0008368508,0.00003996873,0.0002374704,0.000006874116,0.0001298324,0.0007385249],"genre_scores_gemma":[0.9964094,0.0004161599,0.0009905284,0.000008221626,0.00001163094,1.439359e-7,0.00001531052,0.000006227644,0.002142378],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6755282,"threshold_uncertainty_score":0.5804064,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01734044864226216,"score_gpt":0.2489269301613543,"score_spread":0.2315864815190921,"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."}}