{"id":"W3083706485","doi":"10.59236/td2020vol13iss1363","title":"So Much to Learn, So Many Students, So Little Time","year":2020,"lang":"en","type":"article","venue":"Transformative Dialogues Teaching and Learning Journal","topic":"Management and Marketing Education","field":"Business, Management and Accounting","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"","keywords":"Mathematics education; Psychology; Computer science","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":[0.001911024,0.0007166605,0.001043001,0.0006134667,0.003962044,0.0067398,0.001268847,0.003628987,0.0444269],"category_scores_gemma":[0.0073937,0.0004601267,0.0005755029,0.0006694391,0.002610412,0.005212534,0.006200208,0.005365374,0.04061139],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008483366,"about_ca_system_score_gemma":0.00324858,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006163703,"about_ca_topic_score_gemma":0.001707965,"domain_scores_codex":[0.9982413,0.0004044211,0.00005602472,0.000326562,0.0006583411,0.0003133193],"domain_scores_gemma":[0.9918137,0.0006960278,0.0005705949,0.0007280151,0.00151606,0.004675591],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001021569,0.001000805,0.01319145,0.0006937839,0.0000494846,0.0006510461,0.006811483,0.0003104344,0.007390491,0.01394715,0.6938426,0.2620091],"study_design_scores_gemma":[0.00003984792,0.0005289149,0.0134008,0.0005427015,0.00002665593,0.001368436,0.01959693,0.0002178194,0.001154185,0.01987142,0.9431909,0.00006129363],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.08637338,0.01232268,0.01759545,0.6596249,0.01553929,0.0003475967,0.0007245632,0.002040149,0.205432],"genre_scores_gemma":[0.2681721,0.01271094,0.01810524,0.280582,0.008722041,0.0004963118,0.0008541855,0.0007533727,0.4096038],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.0444269,"threshold_uncertainty_score":0.1486228,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01667496406628131,"score_gpt":0.25438804049727,"score_spread":0.2377130764309887,"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."}}