{"id":"W4213254914","doi":"10.26685/urncst.351","title":"2021-2022 STEM Sustainability Case Competition: Synthetic Biology","year":2022,"lang":"en","type":"article","venue":"Undergraduate Research in Natural and Clinical Science and Technology (URNCST) Journal","topic":"Genetics, Bioinformatics, and Biomedical Research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"","keywords":"Competition (biology); Sustainability; Theme (computing); Reading (process); Medical education; Engineering ethics; Public relations; Psychology; Political science; Medicine; Computer science; Engineering; Ecology; World Wide Web; Biology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01298297,0.001334572,0.0009651313,0.001721849,0.004342029,0.01268919,0.002829843,0.004451637,0.2351038],"category_scores_gemma":[0.01859831,0.0004876514,0.00144563,0.001167587,0.001588399,0.003340909,0.009067356,0.003590466,0.1177017],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004012532,"about_ca_system_score_gemma":0.00861218,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002184844,"about_ca_topic_score_gemma":0.009844515,"domain_scores_codex":[0.9922875,0.001147428,0.0002647675,0.0007175086,0.00424838,0.001334419],"domain_scores_gemma":[0.9644635,0.002157419,0.0007237059,0.001162926,0.01061154,0.02088089],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0000833864,0.0001186784,0.0002238258,0.0001016192,0.000006123561,0.0001331231,0.0001681478,0.0001306729,0.001108869,0.003006429,0.9772933,0.01762592],"study_design_scores_gemma":[0.00003576604,0.0001356998,0.0008597457,0.00006326753,0.000002578693,0.0001138036,0.0003392284,0.0003095465,0.0005578885,0.002858189,0.9947072,0.00001714727],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.03254228,0.00610721,0.02574194,0.1368676,0.1895927,0.004788676,0.0129673,0.00788432,0.583508],"genre_scores_gemma":[0.04316461,0.001789588,0.01256526,0.01848989,0.01600191,0.002179531,0.01180541,0.003119819,0.890884],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.2351038,"threshold_uncertainty_score":0.7865007,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03553095484014823,"score_gpt":0.3921616298723226,"score_spread":0.3566306750321743,"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."}}