{"id":"W4246704290","doi":"10.1515/iupac.81.0497","title":"Isotopic Discrimination","year":2016,"lang":"en","type":"dataset","venue":"IUPAC Standards Online","topic":"Environmental Toxicology and Ecotoxicology","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Glossary; Ecotoxicology; Relation (database); Ecology; Computer science; Biology; Data mining; Linguistics; Philosophy","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":[0.00129416,0.002481556,0.001897772,0.005115204,0.001352204,0.003318188,0.003728741,0.002406596,0.09439553],"category_scores_gemma":[0.009080072,0.0006363782,0.002065048,0.008459962,0.0005040584,0.003231626,0.002975688,0.002342994,0.1539953],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001716399,"about_ca_system_score_gemma":0.002282939,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02132244,"about_ca_topic_score_gemma":0.05297065,"domain_scores_codex":[0.9978636,0.0002693342,0.0002982526,0.0007660251,0.0005021768,0.0003006188],"domain_scores_gemma":[0.9962747,0.0006820649,0.0003533353,0.001256555,0.001244296,0.0001890626],"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":[0.0001739592,0.00003588585,0.003797139,0.001160381,0.00005658136,0.00006429534,0.00002806914,0.0004406762,0.0003285951,0.001428293,0.9765286,0.01595764],"study_design_scores_gemma":[0.00008868897,0.00001293199,0.004348788,0.0003621567,0.00003311613,0.0001369664,0.00008305188,0.0004832803,0.0005719617,0.003255159,0.9905906,0.0000333176],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0004258018,0.0003741539,0.0003706427,0.000129576,0.0001171528,0.00002556042,0.9938253,0.0007615145,0.003970385],"genre_scores_gemma":[0.001009956,0.0001930312,0.000988565,0.0001254765,0.00001767016,0.00005277372,0.9958038,0.0001163574,0.001692313],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.09439553,"threshold_uncertainty_score":0.3157845,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0111931550483547,"score_gpt":0.358631413600583,"score_spread":0.3474382585522283,"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."}}