{"id":"W4410375108","doi":"10.3390/bs15050668","title":"Interpolated Retrieval of Relevant Material, Not Irrelevant Material, Enhances New Learning of a Video Lecture In-Person and Online","year":2025,"lang":"en","type":"article","venue":"Behavioral Sciences","topic":"Intelligent Tutoring Systems and Adaptive Learning","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"Iowa State University; National Science Foundation","keywords":"Online video; Online learning; Multimedia; Computer science; Information retrieval","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":[0.0006767417,0.0002919582,0.0003817993,0.0002696066,0.0001253195,0.0005623697,0.0003668456,0.0002654937,0.005196135],"category_scores_gemma":[0.005371552,0.000132524,0.0002579341,0.0001093442,0.0002357015,0.0007161758,0.000579857,0.0005132784,0.000376881],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001791284,"about_ca_system_score_gemma":0.0002221207,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004384523,"about_ca_topic_score_gemma":0.0008818129,"domain_scores_codex":[0.9995109,0.0001285434,0.00004039374,0.0001331758,0.0001312729,0.00005566596],"domain_scores_gemma":[0.996501,0.002029463,0.0005377972,0.0002940563,0.0001389391,0.0004987003],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0131908,0.00655204,0.02762408,0.00146585,0.0003045895,0.0002686678,0.001646113,0.001109127,0.6573694,0.0005892409,0.0006188973,0.2892612],"study_design_scores_gemma":[0.001044519,0.04914564,0.5836808,0.0001797788,0.0007323709,0.0005511215,0.0009242588,0.006065818,0.3507267,0.002263794,0.004594672,0.00009053501],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9979923,0.0001245036,0.0005718028,0.00002765748,0.000008610768,0.00002005287,0.00002721241,0.00002900016,0.001199016],"genre_scores_gemma":[0.9969957,0.0001191292,0.001553168,0.00003036729,0.00001334183,0.00003072912,0.00006337507,0.00001192348,0.001182357],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005196135,"threshold_uncertainty_score":0.01738274,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03569732081856885,"score_gpt":0.3124886012463031,"score_spread":0.2767912804277343,"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."}}