{"id":"W4256148384","doi":"10.1515/iupac.81.0675","title":"Photochemical Smog","year":2016,"lang":"en","type":"dataset","venue":"IUPAC Standards Online","topic":"Chemistry and Chemical Engineering","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Glossary; Ecotoxicology; Environmental science; Environmental chemistry; Ecology; Chemistry; Biology; Philosophy; Linguistics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001345184,0.0003580963,0.0003451213,0.00001724279,0.00004645085,0.00002191597,0.0005262195,0.0003960772,0.04813998],"category_scores_gemma":[0.0003434365,0.0002822785,0.0001435001,0.0001190535,0.0002067145,0.00005741925,0.0004147995,0.0004743909,0.0000221294],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006385973,"about_ca_system_score_gemma":0.00004660892,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006346108,"about_ca_topic_score_gemma":0.00003112974,"domain_scores_codex":[0.9979617,0.000008851591,0.0002924906,0.000502761,0.0008212319,0.0004129581],"domain_scores_gemma":[0.9989873,0.00003893126,0.00009004928,0.0006238093,0.00001736969,0.0002425393],"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":[0.00002974651,0.00008527196,0.000006670672,0.00005115482,0.00001793696,0.00002995937,0.000001764912,0.00000711348,0.01088299,1.721905e-7,0.9884501,0.0004371123],"study_design_scores_gemma":[0.0002770023,0.00001944019,0.000004348245,0.0001604655,0.00003363269,0.00001780225,0.000001823962,0.00001064164,0.0129937,0.00004602516,0.9860401,0.000395007],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.001085995,0.00006195298,0.00005552337,0.0001349605,0.000160086,0.0001067485,0.9977612,0.00006751961,0.000565947],"genre_scores_gemma":[0.0002256069,0.0001145529,0.00005117955,0.0001532018,0.0004619476,0.00001674761,0.998412,0.00002707201,0.0005377397],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.04811785,"threshold_uncertainty_score":0.9999629,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005565531033708083,"score_gpt":0.3265921061206589,"score_spread":0.3210265750869508,"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."}}