{"id":"W4407572080","doi":"10.52041/iase2023.701","title":"Putting research into practice: Applying evidence-based principles to foster student learning in statistics and data science","year":2024,"lang":"en","type":"article","venue":"","topic":"Statistics Education and Methodologies","field":"Mathematics","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"The Scarborough Hospital; University of Toronto","funders":"","keywords":"Computer science; Data science; Evidence-based practice; Statistics education; Mathematics education; Statistics; Psychology; Mathematics; Medicine","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":[0.4200783,0.00204337,0.002169568,0.01159978,0.00909762,0.02837323,0.009598278,0.01574264,0.00322481],"category_scores_gemma":[0.3943117,0.002806067,0.002370573,0.005139487,0.05127798,0.02820757,0.03773933,0.0234846,0.001613206],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01396715,"about_ca_system_score_gemma":0.0509872,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001780216,"about_ca_topic_score_gemma":0.004027902,"domain_scores_codex":[0.5462542,0.3950624,0.0137745,0.009481147,0.03047973,0.004948117],"domain_scores_gemma":[0.3636113,0.5630603,0.01360431,0.0297679,0.02075608,0.009200055],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001454156,0.0009254479,0.003364326,0.007449492,0.0004733943,0.0008706514,0.1460914,0.003755766,0.001419176,0.4818259,0.02917534,0.3245036],"study_design_scores_gemma":[0.0002389931,0.0004171112,0.00113981,0.0121939,0.0001615695,0.0004589442,0.02835236,0.002440485,0.002593337,0.8254139,0.1264244,0.0001652079],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01876788,0.01412382,0.4723047,0.4427924,0.003076194,0.002722758,0.00009980598,0.0005356577,0.04557672],"genre_scores_gemma":[0.2126686,0.00896012,0.7429955,0.02810704,0.0007657026,0.003741049,0.00008249337,0.0001779766,0.002501575],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.4200783,"threshold_uncertainty_score":0.7151467,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.7753979529238442,"score_gpt":0.6611825993528414,"score_spread":0.1142153535710028,"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."}}