{"id":"W4243719173","doi":"10.1515/iupac.76.0239","title":"Fractionation","year":2016,"lang":"en","type":"dataset","venue":"IUPAC Standards Online","topic":"Scientific Measurement and Uncertainty Evaluation","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Glossary; Toxicokinetics; CAS Registry Number; Relation (database); Computer science; Toxicology; Medicine; Pharmacology; Data mining; 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":[0.001622203,0.00188816,0.001222797,0.004115566,0.0008846489,0.003087661,0.00258588,0.001571456,0.111418],"category_scores_gemma":[0.01120896,0.0006034669,0.002025102,0.006071456,0.0004489778,0.002395281,0.002122266,0.001877657,0.1490173],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001669231,"about_ca_system_score_gemma":0.002746921,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01319855,"about_ca_topic_score_gemma":0.0244314,"domain_scores_codex":[0.9974188,0.0004373054,0.0004608737,0.0009258603,0.0005447336,0.0002124955],"domain_scores_gemma":[0.9962305,0.001043972,0.0003933117,0.001077299,0.001027913,0.0002270091],"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":[0.0001004929,0.00002985064,0.001422454,0.001074511,0.00004317699,0.000026273,0.0000380405,0.000312726,0.0001863405,0.001265377,0.9855333,0.009967429],"study_design_scores_gemma":[0.0001077984,0.00001578628,0.002606608,0.0004303128,0.00002790397,0.00005915716,0.00007943568,0.0003082477,0.0002877778,0.001929064,0.9941222,0.00002579859],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001763394,0.0001568818,0.000248318,0.00009246643,0.00004804672,0.00003704487,0.9971011,0.0004637289,0.001675995],"genre_scores_gemma":[0.0003617893,0.0001006083,0.0006366883,0.0001034526,0.000009557403,0.0001586367,0.9974471,0.00009738078,0.001084738],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.111418,"threshold_uncertainty_score":0.3727303,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1768045266930182,"score_gpt":0.5536987334343827,"score_spread":0.3768942067413645,"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."}}