{"id":"W2950876281","doi":"10.19173/irrodl.v20i2.3838","title":"Diversity in Video Lectures","year":2019,"lang":"en","type":"article","venue":"The International Review of Research in Open and Distributed Learning","topic":"Visual and Cognitive Learning Processes","field":"Psychology","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Diversity (politics); Affect (linguistics); Psychology; Cognition; Mathematics education; Multimedia; Computer science; Sociology; Communication","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.001206257,0.0002018542,0.0002422458,0.0005768124,0.0006157822,0.001861715,0.0003301184,0.0003672403,0.004407876],"category_scores_gemma":[0.01430617,0.0001121084,0.0003024225,0.0003976387,0.0004655702,0.0009950764,0.002098971,0.0006428772,0.000379865],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005366832,"about_ca_system_score_gemma":0.0004160998,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005657165,"about_ca_topic_score_gemma":0.0008492161,"domain_scores_codex":[0.9982775,0.0007494388,0.00008349642,0.0002311213,0.0004809825,0.0001773326],"domain_scores_gemma":[0.9909071,0.005889948,0.001154583,0.0003702909,0.0004924126,0.001185689],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.002874393,0.002089224,0.1902649,0.001381721,0.0003447987,0.001139185,0.02268347,0.006394378,0.1003789,0.005887388,0.002779678,0.6637819],"study_design_scores_gemma":[0.0003478959,0.007166655,0.8507836,0.001165626,0.0004029134,0.003176368,0.02372671,0.007689792,0.03968722,0.01983464,0.04580154,0.0002170425],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9850872,0.0006737718,0.003154103,0.0002195321,0.00005837004,0.00005141082,0.00005759095,0.00003210552,0.01066597],"genre_scores_gemma":[0.9967225,0.0002796561,0.001359016,0.0000634277,0.00005031403,0.0000279097,0.00006163521,0.00001087103,0.001424723],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004407876,"threshold_uncertainty_score":0.01474583,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1424782564318029,"score_gpt":0.5011341889564548,"score_spread":0.3586559325246519,"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."}}