{"id":"W4200457640","doi":"10.1558/cj.19666","title":"When “Blended” Becomes “Online”","year":2021,"lang":"en","type":"article","venue":"CALICO Journal","topic":"Online Learning and Analytics","field":"Computer Science","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Pandemic; Student engagement; Blended learning; Learning analytics; Coronavirus disease 2019 (COVID-19); Psychology; Analytics; Medical education; Higher education; Mathematics education; Computer science; Educational technology; Political science; Medicine; Data 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002024673,0.00009190593,0.0001451453,0.00006953702,0.0001686778,0.0003930122,0.000535767,0.00004759872,0.0001314752],"category_scores_gemma":[0.0001379432,0.00007870463,0.0001235163,0.0002034437,0.00002145283,0.0002462209,0.0001588892,0.0004736459,0.00007208776],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003264442,"about_ca_system_score_gemma":0.0003201559,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001743157,"about_ca_topic_score_gemma":0.000004435716,"domain_scores_codex":[0.9990003,0.00009391837,0.0002190405,0.0001777854,0.0002584027,0.0002505539],"domain_scores_gemma":[0.9991879,0.00004898755,0.00008945568,0.0002959766,0.0001863923,0.0001912167],"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":[0.000007520569,0.001090359,0.03305607,0.00005877214,0.0003551204,0.006210747,0.003062031,0.002841722,0.004268941,0.1244173,0.2315461,0.5930852],"study_design_scores_gemma":[0.001083962,0.0001314588,0.01369885,0.0001412809,0.00004272775,0.007254637,0.0004026807,0.1217596,0.001083693,0.08964455,0.7641814,0.0005751688],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1662501,0.003256411,0.5653758,0.2560599,0.003636603,0.00004861104,0.00001236881,0.0003494527,0.005010676],"genre_scores_gemma":[0.6024531,0.0005904426,0.3576496,0.007389692,0.003418104,9.9236e-7,0.00001599768,0.00003876754,0.0284433],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.5925101,"threshold_uncertainty_score":0.3789826,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02003990499096659,"score_gpt":0.2832902304523695,"score_spread":0.2632503254614029,"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."}}