{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003946814,0.0001362048,0.0002157397,0.001175456,0.0003935587,0.0001454674,0.0002982595,0.0002246459,0.000007736491],"category_scores_gemma":[0.0007706094,0.0001076784,0.0000337839,0.004613711,0.001252547,0.000222554,0.0002231293,0.002121026,0.00001805435],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002810537,"about_ca_system_score_gemma":0.000193546,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002115517,"about_ca_topic_score_gemma":0.0000267753,"domain_scores_codex":[0.9978383,0.00005909866,0.0004315812,0.000338156,0.0005344216,0.0007984586],"domain_scores_gemma":[0.9986989,0.000416246,0.00002617166,0.0001705076,0.0003366745,0.0003515143],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0000376665,0.0003059668,0.04761655,0.001350812,0.0001400665,0.009282429,0.0002279026,0.002459368,0.0038834,0.02525287,0.006302751,0.9031402],"study_design_scores_gemma":[0.002178173,0.0007488318,0.09410199,0.0005947387,0.0000284111,0.01503014,0.004508745,0.7093813,0.0003426106,0.1578401,0.01426033,0.000984641],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.976133,0.001809857,0.0001145564,0.02070809,0.0008050295,0.0001488902,0.000001867484,0.0002163188,0.00006235683],"genre_scores_gemma":[0.9944997,0.004981515,0.0002156601,0.00001229836,0.0001631026,0.00001274268,8.838182e-7,0.00001005194,0.000104082],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9021556,"threshold_uncertainty_score":0.9214919,"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."}}