{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001561107,0.0001491414,0.0002217944,0.0007462868,0.0005139506,0.001276171,0.0003258385,0.0002149264,0.0008292237],"category_scores_gemma":[0.005168403,0.00016967,0.0001720868,0.0006197639,0.0003612225,0.0002901885,0.0006636392,0.0005363298,0.0002137004],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006857465,"about_ca_system_score_gemma":0.001458999,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03405065,"about_ca_topic_score_gemma":0.05484521,"domain_scores_codex":[0.9991832,0.0002444512,0.00007170169,0.00005465274,0.0002750765,0.0001709545],"domain_scores_gemma":[0.9938747,0.001444962,0.00145968,0.0002247326,0.001120582,0.001875311],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003941036,0.0003273529,0.9894028,0.000009038988,0.00001309907,0.00004538888,0.002404737,0.00002569958,0.0004632235,0.00002396815,0.00008637816,0.007158936],"study_design_scores_gemma":[0.000001515387,0.0001728255,0.9965858,0.000005681399,0.000004852172,0.0000226922,0.002727367,0.0001263462,0.0002175689,0.000005887983,0.0001266377,0.000002794292],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9998665,0.000008389744,0.000006752319,0.00001138016,3.652884e-7,0.000001699236,0.000004632356,3.726232e-7,0.00009989637],"genre_scores_gemma":[0.9997005,0.00002491462,0.00003665919,0.00000841034,0.000001052483,0.000002923193,0.00002355645,3.945918e-7,0.0002016477],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03405065,"threshold_uncertainty_score":0.06770492,"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."}}