{"id":"W4385977744","doi":"10.21203/rs.3.rs-3229249/v1","title":"Uncovering Evidence to Migrate from Face-to-Face to the Blended Learning Classroom","year":2023,"lang":"en","type":"preprint","venue":"Research Square","topic":"Innovative Teaching Methods","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Manitoba","funders":"","keywords":"Blended learning; Learning styles; Psychology; Baseline (sea); Mathematics education; Face-to-face; Coronavirus disease 2019 (COVID-19); Online learning; Medical education; Educational technology; Computer science; Medicine; Multimedia","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","metaepi_narrow","sts","scholarly_communication","research_integrity","insufficient_payload"],"consensus_categories":["metaresearch"],"category_scores_codex":[0.03478967,0.0003982716,0.0005495813,0.0008344539,0.002457482,0.00121427,0.003453497,0.0004208226,0.0002216629],"category_scores_gemma":[0.06022259,0.0003418875,0.0001849885,0.004253292,0.0002394343,0.0002064557,0.006178641,0.005457813,0.003625673],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002054678,"about_ca_system_score_gemma":0.002095373,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.07014068,"about_ca_topic_score_gemma":0.02785004,"domain_scores_codex":[0.9798142,0.01228894,0.0005396826,0.001561946,0.003963236,0.001832001],"domain_scores_gemma":[0.9884678,0.008143327,0.0001517976,0.001341653,0.001271015,0.0006244793],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0004247079,0.00009480608,0.03141004,0.000515181,0.0002930881,0.000134774,0.524369,0.2733311,0.01184156,0.004247942,0.06757931,0.0857585],"study_design_scores_gemma":[0.0002878095,0.0006578888,0.1018305,0.01093867,0.00003684015,4.906731e-7,0.1848198,0.001224993,0.003524031,0.02358743,0.671236,0.001855529],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7794001,0.0004261837,0.07958848,0.1249898,0.002380305,0.00609791,0.0002117562,0.0009224694,0.005983045],"genre_scores_gemma":[0.9473076,0.0002235229,0.01731269,0.0004573487,0.001798903,0.0009301054,0.00003256487,0.000148451,0.03178879],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6036566,"threshold_uncertainty_score":0.9999033,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3050974700664377,"score_gpt":0.5293363298917297,"score_spread":0.2242388598252921,"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."}}