{"id":"W2626941634","doi":"","title":"iGEM Team meetings: settings for conversations on teaching & learning","year":2017,"lang":"en","type":"article","venue":"","topic":"Gene Regulatory Network Analysis","field":"Biochemistry, Genetics and Molecular Biology","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Pedagogy; Engineering ethics; Psychology; Medical education; Engineering; Medicine","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004213313,0.0001133808,0.0001117579,0.00002848875,0.0009391693,0.00008938161,0.0002361832,0.00009337498,0.00002619133],"category_scores_gemma":[0.0004828158,0.0001073075,0.0001427568,0.0000113796,0.00004811029,0.000003574432,0.00009188845,0.00009698438,0.00001875793],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000009840473,"about_ca_system_score_gemma":0.00002460419,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001859263,"about_ca_topic_score_gemma":0.00002310712,"domain_scores_codex":[0.9992417,0.00004062301,0.0001280915,0.0003031766,0.00008377001,0.0002026422],"domain_scores_gemma":[0.9992409,0.00002303489,0.0001610234,0.0004586659,0.00005953653,0.00005685006],"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":[0.0001594628,0.0001605102,0.09851083,0.00006544003,0.0008047464,0.000001576824,0.0004766709,0.01266457,0.6597915,0.003845782,0.1916393,0.0318795],"study_design_scores_gemma":[0.001149127,0.0004830019,0.0067237,0.00004083638,0.0001602301,0.000004559866,0.00097559,0.01003915,0.1772107,0.0002065856,0.8024575,0.0005489961],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9349257,0.00006312905,0.008080679,0.001360431,0.0001346575,0.0002459952,0.000005355777,0.0000432706,0.05514076],"genre_scores_gemma":[0.9843827,0.000009263416,0.002692776,0.0003231795,0.0003570873,0.0000211267,0.0000671875,0.00002169275,0.01212501],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6108181,"threshold_uncertainty_score":0.7223426,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009547421541300232,"score_gpt":0.2697131996314424,"score_spread":0.2601657780901422,"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."}}