{"id":"W4375857408","doi":"10.26685/urncst.492","title":"2022-2023 SSGSA STEM Sustainability Case Competition: Genetic Engineering","year":2023,"lang":"en","type":"article","venue":"Undergraduate Research in Natural and Clinical Science and Technology (URNCST) Journal","topic":"Biomedical and Engineering Education","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"Directorate for Biological Sciences","keywords":"Competition (biology); Sustainability; Theme (computing); Competitor analysis; Reading (process); Psychology; Medical education; Engineering ethics; Public relations; Political science; Engineering; Medicine; Business; Computer science; Marketing; Ecology; Biology; World Wide Web","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":[0.01021817,0.0009329457,0.0007169344,0.00147085,0.003574911,0.007871186,0.002105575,0.004174365,0.1604718],"category_scores_gemma":[0.01242799,0.0004141106,0.001094331,0.0008435429,0.00156123,0.001914994,0.006742984,0.002927076,0.06538033],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00436542,"about_ca_system_score_gemma":0.009918539,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003447283,"about_ca_topic_score_gemma":0.01776348,"domain_scores_codex":[0.9938434,0.0007966711,0.00019394,0.0004320646,0.003838481,0.0008954003],"domain_scores_gemma":[0.9812677,0.001217197,0.0004078764,0.0006201293,0.006822776,0.009664312],"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":[0.00009170592,0.0001480332,0.0003984356,0.0001019197,0.000007135511,0.0002732921,0.0002169474,0.0001725227,0.002582205,0.004705147,0.9571105,0.03419223],"study_design_scores_gemma":[0.00002693037,0.0001530603,0.001137661,0.00006393696,0.000002730932,0.0002220698,0.0003489784,0.0003159411,0.0009452687,0.003491589,0.9932754,0.00001644617],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.039429,0.004453738,0.03194216,0.1271133,0.08637338,0.005270642,0.00667607,0.006300022,0.6924417],"genre_scores_gemma":[0.04794976,0.001549147,0.01836904,0.01830209,0.006146622,0.001904345,0.005404132,0.001969402,0.8984056],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.1604718,"threshold_uncertainty_score":0.5368316,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03405447126869544,"score_gpt":0.3625345474593666,"score_spread":0.3284800761906712,"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."}}