{"id":"W4392858590","doi":"10.1145/3626253.3635503","title":"Evaluating Storytelling Videos Using YouTube Analytics","year":2024,"lang":"en","type":"article","venue":"","topic":"Innovative Teaching Methods","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Storytelling; Computer science; Analytics; Comprehension; Multimedia; Learning analytics; Bridge (graph theory); Data science; Narrative","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":[0.002293033,0.0005276937,0.0002862334,0.002810458,0.0004166317,0.0009232207,0.0004025347,0.0003722143,0.003458968],"category_scores_gemma":[0.01800997,0.00009501949,0.0002748037,0.001109745,0.0001871038,0.001302051,0.0006089059,0.0003594824,0.0008399564],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004175676,"about_ca_system_score_gemma":0.0003676411,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003970612,"about_ca_topic_score_gemma":0.008758162,"domain_scores_codex":[0.9988478,0.0004632396,0.0001131558,0.0001389238,0.0003321117,0.000104814],"domain_scores_gemma":[0.9857159,0.00843556,0.001370988,0.0003943547,0.003272842,0.0008104786],"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":[0.003763345,0.003895986,0.3065909,0.003504821,0.0003175506,0.001305623,0.03249621,0.007433566,0.05281336,0.001326932,0.03055824,0.5559934],"study_design_scores_gemma":[0.0003421428,0.007876432,0.8076932,0.0006685875,0.0002704049,0.0005998966,0.03036759,0.06699762,0.04432013,0.001645341,0.03893541,0.0002832382],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9854306,0.0001661631,0.004309813,0.0001249708,0.00003957476,0.0008932349,0.003580186,0.0004279984,0.005027435],"genre_scores_gemma":[0.9719509,0.0003419446,0.01529449,0.0000872435,0.00005405981,0.001260245,0.006980178,0.0001293897,0.003901385],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003970612,"threshold_uncertainty_score":0.01212686,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4304929174661117,"score_gpt":0.5714920539410308,"score_spread":0.1409991364749191,"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."}}