{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001478678,0.000298417,0.000240072,0.000743722,0.001409987,0.007209311,0.0006565865,0.001030891,0.02189549],"category_scores_gemma":[0.01039924,0.0001494794,0.0003427849,0.0008683401,0.001328822,0.005265541,0.005022282,0.001161978,0.00797271],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005738086,"about_ca_system_score_gemma":0.0007716689,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007877023,"about_ca_topic_score_gemma":0.001319598,"domain_scores_codex":[0.9971174,0.0009821503,0.0001441812,0.0003772601,0.0008575575,0.0005213595],"domain_scores_gemma":[0.9956561,0.0006665633,0.0008206066,0.0009302114,0.0007838251,0.001142606],"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":[0.0006633277,0.001668566,0.1254075,0.000534026,0.0001061353,0.001525214,0.05517837,0.0008114149,0.0183811,0.03997702,0.04334974,0.7123976],"study_design_scores_gemma":[0.00005747849,0.001482886,0.1583958,0.0007726744,0.00009477269,0.002318124,0.09320814,0.003128608,0.01232213,0.03903444,0.6890202,0.0001647892],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7945219,0.0005915493,0.0207721,0.004226752,0.000944035,0.0002245766,0.0004888008,0.0008609583,0.1773693],"genre_scores_gemma":[0.9365743,0.0004032374,0.007783444,0.002615949,0.0002097922,0.0001668596,0.0005701225,0.0002546001,0.05142162],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02189549,"threshold_uncertainty_score":0.07324773,"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."}}