{"id":"W3106443954","doi":"10.1002/cbic.202000614","title":"Courses Based on iGEM/BIOMOD Competitions Are the Ideal Format for Research‐Based Learning of Xenobiology","year":2020,"lang":"en","type":"article","venue":"ChemBioChem","topic":"Genetics, Bioinformatics, and Biomedical Research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Winnipeg; University of Manitoba; Winnipeg Institute for Theoretical Physics","funders":"Bundesministerium für Bildung und Forschung; Deutsche Forschungsgemeinschaft","keywords":"Curriculum; Computer science; Maturity (psychological); Field (mathematics); Ideal (ethics); Engineering ethics; Psychology; Pedagogy; Engineering; Mathematics; Epistemology","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":[0.003072937,0.001120515,0.0006502818,0.001303536,0.001491806,0.00296716,0.002134538,0.001472544,0.1493492],"category_scores_gemma":[0.004678184,0.0002953691,0.0007957268,0.001491604,0.0006357009,0.001847888,0.006821399,0.002148751,0.05327543],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00101158,"about_ca_system_score_gemma":0.001830333,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002852953,"about_ca_topic_score_gemma":0.000686365,"domain_scores_codex":[0.9980963,0.0004599546,0.00009165073,0.0003044388,0.0004461134,0.0006016558],"domain_scores_gemma":[0.9932525,0.0009796021,0.00039173,0.0004816565,0.0004724486,0.004422134],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"qualitative","study_design_scores_codex":[0.00118098,0.005598921,0.006083942,0.001145045,0.00003581568,0.0008229795,0.001227286,0.002596355,0.02175266,0.02490318,0.353677,0.5809758],"study_design_scores_gemma":[0.0002503973,0.001502113,0.02686189,0.0002807962,0.00001507342,0.0009781411,0.0009417036,0.003157495,0.01108901,0.01746855,0.9373474,0.0001073361],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.2004685,0.002846621,0.1076332,0.009909403,0.009775031,0.004775858,0.009645545,0.0140773,0.6408685],"genre_scores_gemma":[0.3854009,0.001542842,0.1068345,0.003889488,0.002838636,0.003632996,0.01622968,0.003536559,0.4760945],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.1493492,"threshold_uncertainty_score":0.499623,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06741225318881607,"score_gpt":0.3520225353826126,"score_spread":0.2846102821937965,"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."}}