{"id":"W3016778887","doi":"10.1096/fasebj.2020.34.s1.03020","title":"Are Western Active Learning Spaces Worth the Investment?","year":2020,"lang":"en","type":"article","venue":"The FASEB Journal","topic":"Innovative Teaching Methods","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"","keywords":"Active learning (machine learning); Mathematics education; Class (philosophy); Likert scale; Qualitative property; Focus group; Computer science; Psychology; Pedagogy; Sociology; Artificial intelligence","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":[0.003273689,0.0002178631,0.0002524044,0.0004891572,0.001423831,0.006653534,0.000640963,0.0009865331,0.004963239],"category_scores_gemma":[0.009320217,0.0001427182,0.0002427274,0.0005672081,0.004217668,0.009291524,0.003594081,0.001065903,0.0008209457],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006403906,"about_ca_system_score_gemma":0.001039081,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005214332,"about_ca_topic_score_gemma":0.001020526,"domain_scores_codex":[0.9984023,0.0008144964,0.00006417731,0.0001743446,0.0003124466,0.0002323317],"domain_scores_gemma":[0.9947484,0.001992346,0.00088676,0.0005226383,0.0005361811,0.001313574],"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":[0.0003834343,0.0008831517,0.06765202,0.001614576,0.0001430563,0.0005859,0.08776741,0.0002167973,0.0029157,0.1049627,0.02600295,0.7068723],"study_design_scores_gemma":[0.00009410032,0.001366255,0.1225722,0.002442587,0.0002437759,0.00117362,0.2905009,0.0007804148,0.003648567,0.09106426,0.4859797,0.0001336549],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8232227,0.01241522,0.006203938,0.04866723,0.001653228,0.00009695566,0.00008786355,0.0001395363,0.1075133],"genre_scores_gemma":[0.9804781,0.005221649,0.002086174,0.004099811,0.0003048355,0.00006910916,0.00004549026,0.00003020515,0.00766457],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006653534,"threshold_uncertainty_score":0.01731318,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.102875533554789,"score_gpt":0.3679478651251186,"score_spread":0.2650723315703296,"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."}}