{"id":"W7115685174","doi":"10.5683/sp3/engej6","title":"Replication Data for: Tailored Class Preparation Modules to Improve Students' Participation in an Active Learning Class","year":2025,"lang":"","type":"dataset","venue":"Borealis","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Active learning (machine learning); Class (philosophy); Replication (statistics); Set (abstract data type); Data set","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":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.004018737,0.002557493,0.001554678,0.002527389,0.001587478,0.002182547,0.00402291,0.003159531,0.01458119],"category_scores_gemma":[0.01327206,0.0006771752,0.0020702,0.003178227,0.0009885159,0.001321428,0.00232978,0.002548832,0.03447644],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001944612,"about_ca_system_score_gemma":0.003890864,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04311248,"about_ca_topic_score_gemma":0.08207639,"domain_scores_codex":[0.9958658,0.0008937048,0.0003878546,0.001098561,0.001256283,0.0004978626],"domain_scores_gemma":[0.992933,0.001250503,0.0005202402,0.002499302,0.002059951,0.0007369705],"domain_codex":null,"domain_gemma":"reproducibility","domain_candidate":"reproducibility","domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003751182,0.000228854,0.004780315,0.0004811625,0.00008057041,0.00005090913,0.00009339533,0.0006846924,0.0004893374,0.0003988557,0.9855215,0.006815338],"study_design_scores_gemma":[0.001429716,0.0003618233,0.05043242,0.000351547,0.0001865241,0.0002747896,0.0006589669,0.003948091,0.004280198,0.002568494,0.9353073,0.0002001649],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.003757462,0.0001648944,0.0004545735,0.0003719731,0.0001897213,0.0001120069,0.9918126,0.001183253,0.001953457],"genre_scores_gemma":[0.004455281,0.00003602212,0.0009345874,0.00009462178,0.00003054532,0.0002089716,0.9927521,0.00007350292,0.001414352],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.9959813,"threshold_uncertainty_score":0.0857231,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05316782819631224,"score_gpt":0.4215630443283309,"score_spread":0.3683952161320186,"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."}}