{"id":"W1985024313","doi":"10.1021/ed084p2024","title":"OMLeT—An Alternative Approach to Learning Metabolism: Glycolysis and the TCA Cycle as an Example","year":2007,"lang":"en","type":"article","venue":"Journal of Chemical Education","topic":"Genetics, Bioinformatics, and Biomedical Research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Citation; Computer science; Social media; Library science; World Wide Web","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":[0.0005242079,0.0009146028,0.0004829121,0.001077802,0.0005474242,0.002855623,0.001580543,0.002262282,0.0220798],"category_scores_gemma":[0.001297825,0.0002589866,0.0007053539,0.001187373,0.0005779989,0.003254515,0.001907041,0.001741272,0.008111563],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000677434,"about_ca_system_score_gemma":0.0004939396,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003664498,"about_ca_topic_score_gemma":0.001001054,"domain_scores_codex":[0.9996164,0.0001119412,0.00002143657,0.00005485019,0.0001567879,0.0000385321],"domain_scores_gemma":[0.9995046,0.0002059199,0.00002712785,0.00007733418,0.00008181947,0.0001031257],"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":[0.0003774017,0.0004937929,0.0009640572,0.0008615261,0.00002981169,0.001196546,0.0007272857,0.004860861,0.02005186,0.2687565,0.1537117,0.5479686],"study_design_scores_gemma":[0.00005503112,0.0001964634,0.001164145,0.0002614279,0.00001681374,0.00203828,0.0002263016,0.01442023,0.0106364,0.1336209,0.8373107,0.00005331408],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01598107,0.006385909,0.7148314,0.01364174,0.003332681,0.000190043,0.001321777,0.0126319,0.2316836],"genre_scores_gemma":[0.05859888,0.007160271,0.7688825,0.003815311,0.001048375,0.000245997,0.001654703,0.001357462,0.1572366],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.0220798,"threshold_uncertainty_score":0.07386428,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01768453581131906,"score_gpt":0.3168559574830057,"score_spread":0.2991714216716866,"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."}}