{"id":"W4241017898","doi":"10.1515/iupac.79.2168","title":"Transgenic","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; Chemical nomenclature; Computer science; Hazard; Toxicology; 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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.000117912,0.0002761332,0.0002657879,0.00001459925,0.00004163228,0.00001478068,0.0004027131,0.0002661612,0.04755497],"category_scores_gemma":[0.00008050838,0.0002143748,0.0001327414,0.000100444,0.0001280559,0.00005160358,0.0001365086,0.0003201209,0.00001744866],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004162813,"about_ca_system_score_gemma":0.00003768765,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003404919,"about_ca_topic_score_gemma":0.00006327702,"domain_scores_codex":[0.9984481,0.000008056403,0.0002285651,0.0003724936,0.0006222314,0.0003205897],"domain_scores_gemma":[0.9992569,0.00003088436,0.00005801907,0.0004764661,0.00001014267,0.0001675917],"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":[0.00001857968,0.00005384501,0.000002329153,0.00004878825,0.00001705223,0.00001315432,0.000002461583,0.00001949939,0.003680047,1.893278e-7,0.9947091,0.001434931],"study_design_scores_gemma":[0.0003008109,0.00001993455,0.000005660718,0.0000846519,0.00003604412,0.000007499159,0.000001648894,0.000005202978,0.003825017,0.00004141349,0.9953658,0.0003063423],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0005861747,0.00007837141,0.0001283602,0.0001599213,0.0001552812,0.0000677833,0.9983941,0.0000513958,0.0003786621],"genre_scores_gemma":[0.0001815437,0.0002218567,0.00002748817,0.0000899055,0.0003251573,0.000006840692,0.9984373,0.00002080038,0.0006890732],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.04753753,"threshold_uncertainty_score":0.9533157,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006019104831522541,"score_gpt":0.3234091333276902,"score_spread":0.3173900284961677,"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."}}