{"id":"W2137249753","doi":"10.5539/hes.v2n3p1","title":"Development of a Course Sequence for an Interdisciplinary Curriculum","year":2012,"lang":"en","type":"article","venue":"Higher Education Studies","topic":"Genetics, Bioinformatics, and Biomedical Research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Science Foundation","keywords":"Curriculum; Computer science; Course (navigation); Mathematics education; Curriculum development; Mathematics; Psychology; Engineering; Pedagogy","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002544367,0.00008484918,0.0001064091,0.00003120859,0.0001030125,0.000006156708,0.0001174344,0.00005373871,0.00001032413],"category_scores_gemma":[0.00002347407,0.0000664826,0.0000345548,0.00005293877,0.000137548,0.000007685967,0.0001697102,0.00002910098,0.000007855501],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001992413,"about_ca_system_score_gemma":0.0002181785,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001410966,"about_ca_topic_score_gemma":0.000006265946,"domain_scores_codex":[0.9993127,0.00001606625,0.0002263151,0.0001102497,0.000131038,0.0002036611],"domain_scores_gemma":[0.9992906,0.00001001461,0.00007623338,0.0001591613,0.0003598722,0.0001040575],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000213288,0.006860365,0.05971342,0.00209868,0.001211123,1.671184e-7,0.02536709,0.000003462127,0.4428734,0.00328097,0.2537759,0.2046022],"study_design_scores_gemma":[0.0006243596,0.0007250218,0.0673069,0.0001227915,0.00007341294,0.000005235513,0.04352222,0.00001760565,0.119467,0.0003865613,0.7672594,0.0004895004],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9937702,0.003805028,0.000363977,0.0002760843,0.001017604,0.0002012003,0.000009292583,0.000005661481,0.000550957],"genre_scores_gemma":[0.9769808,0.0001515145,0.02059714,0.0001121823,0.0004211579,0.0001264742,0.0001126639,0.000007169405,0.001490873],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5134835,"threshold_uncertainty_score":0.2711082,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08544936854578108,"score_gpt":0.4480390511505907,"score_spread":0.3625896826048096,"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."}}