{"id":"W1594019706","doi":"","title":"The Academic Exception as Foundation for Innovation in Online Learning","year":2008,"lang":"en","type":"article","venue":"EdMedia: World Conference on Educational Media and Technology","topic":"Educational Innovations and Challenges","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"MacEwan University","funders":"","keywords":"Foundation (evidence); Computer science; Engineering ethics; Data science; Political science; Engineering","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":[0.009793827,0.0003667451,0.0008870875,0.003274931,0.006441171,0.01571118,0.002673142,0.006692496,0.0192319],"category_scores_gemma":[0.03999386,0.0003980698,0.0006783126,0.001985404,0.02188699,0.0228124,0.01077576,0.006740544,0.002129312],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002803047,"about_ca_system_score_gemma":0.005902624,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001541895,"about_ca_topic_score_gemma":0.001407028,"domain_scores_codex":[0.9919536,0.00300998,0.0004886508,0.001387609,0.001938826,0.001221426],"domain_scores_gemma":[0.9541311,0.0211457,0.004166544,0.0108459,0.005632772,0.004077886],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001757484,0.00001936776,0.0005754798,0.00002179232,0.00000307717,0.00006408222,0.0008855182,0.000109929,0.00005004755,0.9904703,0.001780645,0.006002128],"study_design_scores_gemma":[0.00002276723,0.00002920514,0.0006027286,0.0001059006,0.00001393107,0.00009729514,0.001507537,0.0008567886,0.0002297493,0.9600503,0.03646635,0.00001743004],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.09496944,0.002016329,0.04850889,0.04590363,0.001589965,0.00009046668,0.0001865546,0.0004226058,0.8063121],"genre_scores_gemma":[0.9738535,0.0005265058,0.0048928,0.001396365,0.0005282606,0.00007198337,0.00006578364,0.0001202321,0.01854467],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0192319,"threshold_uncertainty_score":0.06433707,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08418728454879043,"score_gpt":0.3399799170606315,"score_spread":0.255792632511841,"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."}}