{"id":"W2146580570","doi":"","title":"Making Large Classes Small(er): Assessing the Effectiveness Of a Hybrid Teaching Technology","year":2011,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Innovations in Educational Methods","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph; McMaster University","funders":"","keywords":"Mathematics education; Class (philosophy); Test (biology); Curriculum; Course (navigation); Computer science; Economics education; Psychology; Medical education; Pedagogy; Artificial intelligence; Engineering; 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":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","research_integrity"],"consensus_categories":["metaresearch"],"category_scores_codex":[0.03801225,0.0002212371,0.0004821311,0.001115825,0.001062672,0.0002020577,0.001665218,0.0004114312,0.00004275503],"category_scores_gemma":[0.01456397,0.0002126474,0.0001276844,0.0004842736,0.001330326,0.0001585832,0.001356795,0.003185511,0.000002852989],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001563302,"about_ca_system_score_gemma":0.002928684,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003921554,"about_ca_topic_score_gemma":0.0004356498,"domain_scores_codex":[0.9916488,0.00581673,0.0006705589,0.0006979962,0.0003392985,0.0008266088],"domain_scores_gemma":[0.9912568,0.006815938,0.00043952,0.000966845,0.0004735571,0.00004731722],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00005168478,0.0004739571,0.06806283,0.0004410627,0.0001697949,0.00001163661,0.004341434,0.0007491785,0.000365452,0.6782543,0.00001798523,0.2470607],"study_design_scores_gemma":[0.0007472657,0.0001147143,0.07388653,0.00378306,0.00005483021,0.00002521254,0.06339461,0.001511115,0.003332889,0.7817849,0.07013368,0.001231234],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6677605,0.0001143178,0.0005869821,0.0006181286,0.001416439,0.001032312,0.00001785668,0.00005942443,0.3283941],"genre_scores_gemma":[0.9758487,0.0003925087,0.02262386,0.00003184341,0.0003558586,0.0004191106,0.00001205187,0.00004449442,0.0002716129],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3281224,"threshold_uncertainty_score":0.9991142,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1187596356232146,"score_gpt":0.4792606013134548,"score_spread":0.3605009656902401,"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."}}