{"id":"W4230691960","doi":"10.1515/iupac.79.1734","title":"Operon","year":2016,"lang":"en","type":"dataset","venue":"IUPAC Standards Online","topic":"Arts, Culture, and Music Studies","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Glossary; Chemical nomenclature; Computer science; Toxicology; Chemistry; Philosophy; Biology; Linguistics; Organic chemistry","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":[0.0008242019,0.0003051932,0.0004952479,0.00008075865,0.0008511198,0.00008447008,0.0005334609,0.000371297,0.005933559],"category_scores_gemma":[0.001134568,0.0002082224,0.0001616194,0.0001421863,0.000673907,0.0001207986,0.0001815572,0.0002853651,0.00001146547],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004541856,"about_ca_system_score_gemma":0.001056575,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002428905,"about_ca_topic_score_gemma":0.04348307,"domain_scores_codex":[0.9972602,0.0001532892,0.0002926519,0.0004267021,0.001323533,0.0005436291],"domain_scores_gemma":[0.9985946,0.0001073979,0.0001739405,0.0004284873,0.000507204,0.0001883694],"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":[0.00002585261,0.00006417206,0.000004727095,0.00002337094,0.00007284049,0.00001952494,0.0009839487,3.930612e-8,5.76913e-7,0.0002641662,0.9935775,0.004963278],"study_design_scores_gemma":[0.0003149142,0.00006147045,0.00001177269,0.0001858821,0.00007757397,7.894408e-7,0.001617848,2.777334e-8,0.00000114776,0.0003028374,0.9971059,0.000319822],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00001857171,0.001691446,0.00001647765,0.002769901,0.002168268,0.000283499,0.9861769,0.00008689633,0.006788028],"genre_scores_gemma":[0.00001592609,0.008127176,0.00001970913,0.0008688765,0.005137463,0.00001786993,0.9760715,0.00001957578,0.009721844],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.04105416,"threshold_uncertainty_score":0.9949751,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02915247086004564,"score_gpt":0.4460321636698022,"score_spread":0.4168796928097566,"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."}}