{"id":"W3217456551","doi":"","title":"Information technology talent training mode of regarding teaching and practical training as equally important in University of Waterloo in Canada","year":2009,"lang":"en","type":"article","venue":"Experimental Technology and Management","topic":"Higher Education and Teaching Methods","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Training (meteorology); Engineering; Engineering management; Mode (computer interface); Medical education; Computer science; Geography; Human–computer interaction; Medicine; Meteorology","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":[0.0003785474,0.00008160141,0.0001948193,0.0006670856,0.00005776922,0.000007906137,0.0001604824,0.00006557052,0.000001382913],"category_scores_gemma":[0.00002386194,0.00008641219,0.00001075895,0.0003072645,0.00006122635,0.0003058916,0.0001592535,0.0002116481,1.178315e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001282762,"about_ca_system_score_gemma":0.00009690616,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01162553,"about_ca_topic_score_gemma":0.004133602,"domain_scores_codex":[0.9992881,0.00006156236,0.000260502,0.0001476499,0.00008389352,0.0001583394],"domain_scores_gemma":[0.9996737,0.00002486416,0.000121567,0.0001481794,0.0000063387,0.00002533108],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"qualitative","study_design_scores_codex":[0.000009242564,0.00006238976,0.0008937496,0.00002360167,0.00001253987,0.00003919651,0.02205731,0.00001205134,0.0006792679,0.612717,0.000002701933,0.363491],"study_design_scores_gemma":[0.005549115,0.00125169,0.009594898,0.001088471,0.00004583404,0.0004786309,0.8658254,0.01632357,0.02635563,0.05138573,0.02102154,0.001079481],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9728073,0.0009410725,0.0231203,0.001819105,0.00004800101,0.00020139,4.021894e-7,0.00005012276,0.001012291],"genre_scores_gemma":[0.9030938,0.0002559283,0.09659095,0.00004348691,9.33674e-7,0.000002493472,6.460628e-7,0.000001495959,0.00001031103],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8437681,"threshold_uncertainty_score":0.9949561,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01805626651457987,"score_gpt":0.3025491818365851,"score_spread":0.2844929153220052,"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."}}