{"id":"W4252102113","doi":"10.1515/iupac.79.0886","title":"Bagassosis","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; Toxicology; Library science; Chemistry; Philosophy; Biology; 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":[0.0001358645,0.0002854927,0.0002791173,0.00001616119,0.00004851734,0.00002040527,0.0004190389,0.0002785174,0.04773216],"category_scores_gemma":[0.0001916205,0.0002208467,0.0001159706,0.000108836,0.0001204568,0.00005763181,0.0003258953,0.0003140359,0.00002338368],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006087396,"about_ca_system_score_gemma":0.00003182706,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005755082,"about_ca_topic_score_gemma":0.00005502297,"domain_scores_codex":[0.9983277,0.00000874005,0.0002304867,0.0003929825,0.0007000411,0.0003400862],"domain_scores_gemma":[0.999157,0.0000418099,0.00008084271,0.0005236642,0.00001370973,0.0001829529],"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":[0.00001404306,0.0000581703,0.000009655027,0.00003716921,0.00001701363,0.00001917413,0.000001422403,0.00001526731,0.001938184,1.855031e-7,0.996465,0.001424727],"study_design_scores_gemma":[0.000241655,0.00001778882,0.00001237872,0.00009915699,0.00003268536,0.000008031681,0.000001568776,0.000007073516,0.002588748,0.00003891104,0.9966384,0.0003136299],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0004036273,0.00005972129,0.00006133993,0.0001983013,0.0001713181,0.00006066794,0.9984053,0.00005441395,0.0005852769],"genre_scores_gemma":[0.0001035356,0.0001958306,0.00003858282,0.0001209665,0.0003770061,0.000007526931,0.9983544,0.00002089098,0.0007812081],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.04770878,"threshold_uncertainty_score":0.9531384,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005456670940055933,"score_gpt":0.319890521001755,"score_spread":0.3144338500616991,"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."}}