{"id":"W2915179934","doi":"10.1145/3287324.3287422","title":"The Academic Enhancement Program","year":2019,"lang":"en","type":"article","venue":"","topic":"Online Learning and Analytics","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Construct (python library); Medical education; Computer science; Psychology; Academic institution; Perception; Mathematics education; Variance (accounting); Academic achievement; Medicine; Programming language","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001758218,0.00003676645,0.00003459716,0.000009732216,0.00006165918,0.00007874957,0.0005235564,0.0000198383,0.00001681424],"category_scores_gemma":[0.000009907794,0.00001989252,0.00002152503,0.0001123972,0.0000107853,0.00007020628,0.0001106151,0.0001420452,0.0008804121],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000006987529,"about_ca_system_score_gemma":0.00002111053,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002075736,"about_ca_topic_score_gemma":5.933024e-7,"domain_scores_codex":[0.9995296,0.00001434148,0.00007362109,0.0001126326,0.0001282984,0.0001414824],"domain_scores_gemma":[0.9996283,0.00004366762,0.00002365514,0.000261403,0.00001841134,0.00002458326],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[6.696915e-7,0.00002771095,0.002285979,0.000002997456,0.000007958744,4.580929e-7,0.00008334145,0.00005226739,0.0003236404,0.2633251,0.003070153,0.7308197],"study_design_scores_gemma":[0.0001092993,0.0001559972,0.000874508,0.000008433375,0.000001558785,0.000001662454,0.00003162308,0.3965048,0.001031056,0.005374232,0.5958133,0.0000935575],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.3264649,0.0007735087,0.3169633,0.1597204,0.002182994,0.001060074,2.187835e-7,0.001827845,0.1910067],"genre_scores_gemma":[0.9019892,0.00006681269,0.02405458,0.0005080029,0.00006225787,0.000007890028,3.479495e-7,0.000002971466,0.07330798],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7307262,"threshold_uncertainty_score":0.9998975,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008659725098663779,"score_gpt":0.3004943549594982,"score_spread":0.2918346298608344,"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."}}