{"id":"W2074682373","doi":"10.1080/14759390701847401","title":"Exploring amplifications and reductions associated with e‐learning: conversations with leaders of e‐learning programs","year":2008,"lang":"en","type":"article","venue":"Technology Pedagogy and Education","topic":"Online and Blended Learning","field":"Social Sciences","cited_by":24,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary; Athabasca University","funders":"","keywords":"E learning; Perception; Higher education; Educational technology; Psychology; Electronic learning; Pedagogy; Political science","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001960449,0.00008593359,0.0001283086,0.000293825,0.001205162,0.00001284716,0.00006197269,0.0001229526,0.00001428853],"category_scores_gemma":[0.000323292,0.00008042615,0.00001122556,0.0007051204,0.001855182,0.0002824254,0.00001280268,0.0003821542,0.000002075259],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003794605,"about_ca_system_score_gemma":0.0008692893,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002064877,"about_ca_topic_score_gemma":0.0004910929,"domain_scores_codex":[0.999254,0.00009416219,0.0001311581,0.0002079369,0.0001150063,0.0001977645],"domain_scores_gemma":[0.9994001,0.00008058613,0.0001560952,0.000088266,0.0002181888,0.00005670583],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"qualitative","study_design_scores_codex":[0.00002539359,0.0003406333,0.7852687,0.00001933816,0.0001004425,0.000001313834,0.05420494,0.00009272818,0.0002925355,0.04272989,0.00004017201,0.1168839],"study_design_scores_gemma":[0.0005220736,0.0006678418,0.07536442,0.0001557036,0.0001464867,0.00006638728,0.858514,0.00005086771,0.0002441985,0.0007530731,0.06320421,0.0003107469],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9895262,0.0001849233,0.0002151483,0.008380775,0.00004678377,0.0001884568,3.611237e-7,0.0002467487,0.00121062],"genre_scores_gemma":[0.9954647,0.0007060103,0.001888041,0.000006035893,0.00004334355,0.00009821937,0.00002822417,0.00001069832,0.001754684],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8043091,"threshold_uncertainty_score":0.9269254,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1237888061830393,"score_gpt":0.3478892814421727,"score_spread":0.2241004752591335,"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."}}