{"id":"W4245957918","doi":"10.1515/iupac.80.0196","title":"Wet Residue Method","year":2016,"lang":"en","type":"dataset","venue":"IUPAC Standards Online","topic":"Chemical Thermodynamics and Molecular Structure","field":"Chemistry","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"","keywords":"Terminology; Confusion; Glossary; Chemical nomenclature; Solubility; Nomenclature; Chemistry; Organic chemistry; Philosophy; Taxonomy (biology); Linguistics; Psychology; Ecology","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":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0002608966,0.0006003861,0.0007533376,0.00008362868,0.00008307862,0.00006179926,0.0007911236,0.001000672,0.01601451],"category_scores_gemma":[0.0004679083,0.0004545485,0.000351991,0.0001076586,0.0001053266,0.00002950134,0.0003564938,0.0009179679,0.000001747714],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004428202,"about_ca_system_score_gemma":0.0004784449,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001020213,"about_ca_topic_score_gemma":0.0002281235,"domain_scores_codex":[0.997204,0.00004143785,0.0004729498,0.000771036,0.0009898217,0.0005207584],"domain_scores_gemma":[0.9975778,0.0001151023,0.0002885395,0.001485731,0.0002821222,0.0002507251],"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":[0.000128688,0.0000578511,4.826547e-7,0.000299605,0.000192899,0.0001430767,0.000003115678,8.585037e-7,0.01368733,0.00003395316,0.9790848,0.006367361],"study_design_scores_gemma":[0.0008148021,0.00002100264,6.923461e-7,0.0003949163,0.0001591742,0.00004744415,0.000005510195,0.00001382267,0.007202323,0.001981316,0.9887585,0.0006004812],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001033684,0.0005839549,0.0008224915,0.0003503611,0.0002782269,0.00008027638,0.9967704,0.00008645124,0.0009244825],"genre_scores_gemma":[0.00001304877,0.0005619845,0.0006509848,0.0002534687,0.001222786,0.00001144341,0.9958459,0.00008974804,0.001350593],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.01601276,"threshold_uncertainty_score":0.9997906,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007897861644197141,"score_gpt":0.3873925274342181,"score_spread":0.3794946657900209,"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."}}