{"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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.003377366,0.000062567,0.0001770118,0.0001138172,0.0001380007,0.00004038103,0.0007672069,0.00003223812,0.001913457],"category_scores_gemma":[0.001275059,0.0000434376,0.00002546526,0.0004392441,0.0001012451,0.0001030841,0.001679421,0.0006689621,0.000109207],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004034008,"about_ca_system_score_gemma":0.00004664685,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001485402,"about_ca_topic_score_gemma":0.00005354135,"domain_scores_codex":[0.9984196,0.000613105,0.000194508,0.0002069929,0.0003779684,0.0001878381],"domain_scores_gemma":[0.9987525,0.0008387067,0.00007483907,0.0001053608,0.0001998206,0.00002882721],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002841803,0.0001333542,0.9528679,0.0007572087,0.00003792076,0.00002090829,0.0009869422,0.00003663142,0.0000271714,0.01185216,0.001399548,0.03159613],"study_design_scores_gemma":[0.001866195,0.0003011769,0.8527094,0.01199821,0.000008284906,0.00001977732,0.00714335,0.0001710522,0.00005617145,0.005632526,0.1199155,0.0001783795],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9062306,0.0183688,0.00003714996,0.006510076,0.0001133579,0.0006198523,0.0000142544,0.000007932457,0.068098],"genre_scores_gemma":[0.9928237,0.005070587,0.000004986495,0.0002981711,0.00001767237,0.00002783309,0.00003616129,0.000004063724,0.001716864],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1185159,"threshold_uncertainty_score":0.9989989,"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."}}