{"id":"W2947367472","doi":"10.1080/17518253.2019.1609597","title":"The Green Chemistry Initiative’s contributions to education at the University of Toronto and beyond","year":2019,"lang":"en","type":"article","venue":"Green Chemistry Letters and Reviews","topic":"Chemistry and Chemical Engineering","field":"Environmental Science","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"University of Toronto; McGill University","keywords":"Outreach; Chemistry; Curriculum; Relevance (law); Chemistry education; Library science; Engineering physics; Medical education; Engineering ethics; Engineering; Sociology; Political science; Pedagogy; Physics; Computer science; Quality (philosophy); Medicine","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0001329959,0.0001044791,0.0001358323,6.216333e-7,0.0001645054,0.000009284238,0.0001704821,0.00004624017,0.0008615243],"category_scores_gemma":[0.00002124575,0.00006945659,0.00004559285,0.00004156972,0.0001761717,0.00005280811,0.0002247119,0.00008899301,0.00002045103],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001430842,"about_ca_system_score_gemma":0.000008024888,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004107285,"about_ca_topic_score_gemma":0.00004390031,"domain_scores_codex":[0.9994544,0.00001013524,0.0001271697,0.0001904717,0.00008706588,0.0001307757],"domain_scores_gemma":[0.9995406,0.00004795127,0.00007249819,0.0002414705,0.000007773147,0.00008972447],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000006244741,0.000009316909,0.0008708148,0.0001344274,0.000008155927,2.515757e-7,0.0002329805,0.000003713179,0.9838412,0.000001584056,0.007595863,0.007295437],"study_design_scores_gemma":[0.0001997394,0.000003961014,0.001317676,0.00007372667,0.00003440473,0.00001822813,0.0002774449,0.00005012909,0.1745758,0.00001500846,0.8232543,0.0001795335],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9727477,0.005436202,0.00002765511,0.007670119,0.00002423864,0.0002363525,0.00003150112,0.000008873578,0.01381738],"genre_scores_gemma":[0.9731366,0.006234404,0.0001690752,0.002068158,0.0001994471,0.00001911081,0.00006126054,0.00001812149,0.01809382],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8156585,"threshold_uncertainty_score":0.9433086,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003894741747907569,"score_gpt":0.1948179883781009,"score_spread":0.1909232466301933,"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."}}