{"id":"W2577918054","doi":"","title":"The Class Design of Flipped Classroom for Deep Learning : The Case of Chemistry in Higher Education","year":2016,"lang":"en","type":"article","venue":"Higher Education Studies","topic":"Innovative Teaching Methods","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Mathematics education; Flipped learning; Class (philosophy); Flipped classroom; Higher education; Chemistry; Teaching method; Chemistry education; Educational technology; Psychology; Pedagogy; Computer science; Artificial intelligence; Political science; Social psychology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002486518,0.0004999953,0.0003357333,0.0003170714,0.001443072,0.002233105,0.002189021,0.001148475,0.01273894],"category_scores_gemma":[0.006051071,0.0002946788,0.0004076761,0.0002125401,0.001491755,0.001385906,0.001791231,0.00125472,0.001533087],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001831371,"about_ca_system_score_gemma":0.002300562,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001906952,"about_ca_topic_score_gemma":0.003966056,"domain_scores_codex":[0.9982601,0.0009976551,0.00004249322,0.000309462,0.0001978861,0.0001923844],"domain_scores_gemma":[0.9958055,0.002415558,0.0001542282,0.0005476146,0.0004245849,0.0006525219],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.002277997,0.007487443,0.01080304,0.001331263,0.00008098674,0.001043379,0.02271364,0.04314866,0.06186569,0.1995205,0.01314194,0.6365854],"study_design_scores_gemma":[0.002536766,0.01249035,0.02489329,0.001021833,0.0003053583,0.001647691,0.02236759,0.4218443,0.09711632,0.1637303,0.25166,0.0003861262],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4058851,0.0001357466,0.5413241,0.0009628527,0.0002775855,0.002348122,0.0002173286,0.001049807,0.04779935],"genre_scores_gemma":[0.6851407,0.00004215782,0.3011584,0.0001915764,0.00002076307,0.001047655,0.00008582645,0.0001597667,0.0121532],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01273894,"threshold_uncertainty_score":0.04261601,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1431527725759575,"score_gpt":0.4501056017554412,"score_spread":0.3069528291794837,"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."}}