{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001520579,0.001672337,0.001383461,0.003360026,0.0009506796,0.003196619,0.002751724,0.001817159,0.1584271],"category_scores_gemma":[0.01287106,0.0005456299,0.00181856,0.005468938,0.000345944,0.00221019,0.00197177,0.001740057,0.2017984],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001498597,"about_ca_system_score_gemma":0.003006249,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01681271,"about_ca_topic_score_gemma":0.03314355,"domain_scores_codex":[0.9977049,0.0003972402,0.0003606288,0.0008330671,0.0004504762,0.0002536006],"domain_scores_gemma":[0.9956214,0.001107971,0.0004470694,0.001152855,0.001357442,0.0003132456],"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":[0.000137298,0.00002268511,0.001583486,0.0008766626,0.0000482903,0.00002074046,0.00002150296,0.0001683219,0.00008445729,0.0006637197,0.9897724,0.006600439],"study_design_scores_gemma":[0.0001946081,0.00002088453,0.003433065,0.0005356703,0.00004769965,0.00006898685,0.00007498198,0.00022602,0.000197755,0.001521382,0.9936543,0.00002469097],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001207781,0.0001005654,0.00009526245,0.00008672686,0.00003784999,0.00002243216,0.9978149,0.0002517747,0.001469701],"genre_scores_gemma":[0.0003436536,0.00008167469,0.0002949268,0.000130082,0.00001147398,0.0001042306,0.9976758,0.00006726204,0.00129095],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1584271,"threshold_uncertainty_score":0,"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."}}