{"id":"W1589604820","doi":"","title":"Vodcasts: Are they an effective tool to enhance student learning? A Case Study from McMaster University, Hamilton Canada.","year":2008,"lang":"en","type":"article","venue":"EdMedia: World Conference on Educational Media and Technology","topic":"Online Learning and Analytics","field":"Computer Science","cited_by":11,"is_retracted":false,"has_abstract":false,"ca_institutions":"McMaster University","funders":"","keywords":"Computer science; Mathematics education; Psychology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001215716,0.000220035,0.0002831907,0.0004676967,0.0003285212,0.00005034477,0.0006634529,0.0000829326,0.00005724678],"category_scores_gemma":[0.0002194042,0.0002150457,0.00001954037,0.0007066305,0.0001101712,0.0001579633,0.000228984,0.0006077789,0.00002474516],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001701306,"about_ca_system_score_gemma":0.0006552322,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.02095206,"about_ca_topic_score_gemma":0.4105409,"domain_scores_codex":[0.9983022,0.0001546526,0.0001852173,0.0006831294,0.0003738209,0.0003009372],"domain_scores_gemma":[0.9984797,0.0005033506,0.0001284165,0.000401388,0.0002766216,0.0002105832],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00006522682,0.003120671,0.8132992,0.0000176009,0.0002574146,0.006688523,0.05102269,0.0001959028,0.0002395361,0.06346751,0.002052202,0.05957354],"study_design_scores_gemma":[0.003147064,0.003926733,0.8229126,0.0004448485,0.0001739561,0.001524885,0.03867761,0.009017966,0.0009112628,0.1102316,0.006281988,0.002749406],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9210642,0.0000325547,0.0003048075,0.07749394,0.0005370565,0.000299086,0.00001146851,0.0001125962,0.0001442759],"genre_scores_gemma":[0.9966304,0.00002103388,0.001165653,0.0002466551,0.0002259539,0.00003215184,0.00001021072,0.0000100802,0.001657866],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3895889,"threshold_uncertainty_score":0.9855675,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01385983406810755,"score_gpt":0.2727943187434,"score_spread":0.2589344846752925,"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."}}