{"id":"W4392697826","doi":"10.1021/acs.jchemed.3c01217","title":"Integrating Simple Environmental Impact-Based Metrics into the Undergraduate Curriculum","year":2024,"lang":"en","type":"article","venue":"Journal of Chemical Education","topic":"Chemistry and Chemical Engineering","field":"Environmental Science","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"Canada Research Chairs","keywords":"Metric (unit); Curriculum; Context (archaeology); Computer science; Process (computing); Harm; Environmental impact assessment; Mathematics education; Machine learning; Mathematics; Engineering; Operations management; Psychology","routes":{"ca_aff":true,"ca_fund":true,"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":[0.004705569,0.002064385,0.001149969,0.002237266,0.001021511,0.005151486,0.003014148,0.001434864,0.01998755],"category_scores_gemma":[0.02325616,0.0008084533,0.001033726,0.002201797,0.0006208607,0.005538696,0.003931873,0.002256968,0.006754865],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002307164,"about_ca_system_score_gemma":0.005046472,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001383998,"about_ca_topic_score_gemma":0.002140107,"domain_scores_codex":[0.9962525,0.0009485066,0.0003559085,0.0008398707,0.001286219,0.0003169981],"domain_scores_gemma":[0.9855959,0.005406528,0.001287309,0.002201289,0.003763167,0.001745696],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002578141,0.004399979,0.01352809,0.000798794,0.00003398348,0.0001657971,0.002162841,0.02877322,0.02206401,0.01942908,0.01650159,0.8918849],"study_design_scores_gemma":[0.0003551984,0.004697111,0.03202936,0.001029196,0.0001857813,0.0007995021,0.002306569,0.3455278,0.09880389,0.1584746,0.3552345,0.0005565083],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1287702,0.000231396,0.778264,0.002327915,0.0002877459,0.003921632,0.001327982,0.01811174,0.06675736],"genre_scores_gemma":[0.1578866,0.0001718985,0.8271722,0.0001900011,0.0000632947,0.001121083,0.001194467,0.0006922456,0.0115082],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01998755,"threshold_uncertainty_score":0.06686503,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003205782438590721,"score_gpt":0.2472695557698624,"score_spread":0.2440637733312717,"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."}}