{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001998183,0.002275398,0.001690461,0.003919942,0.001102408,0.003132104,0.00459635,0.002219114,0.09022848],"category_scores_gemma":[0.0103964,0.000743795,0.002888951,0.004289359,0.0006503522,0.002432926,0.002360221,0.002672967,0.1475398],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001238164,"about_ca_system_score_gemma":0.003398143,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01038092,"about_ca_topic_score_gemma":0.02643443,"domain_scores_codex":[0.9975568,0.0003875523,0.0003686851,0.0009527784,0.0004875356,0.0002466858],"domain_scores_gemma":[0.9970053,0.00077931,0.0002010743,0.001160957,0.0007285044,0.0001248613],"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":[0.0002370694,0.00007406659,0.001422286,0.001356586,0.0001229812,0.00005516501,0.0000357996,0.0009188375,0.0003393004,0.001679175,0.9757326,0.01802615],"study_design_scores_gemma":[0.0003573587,0.00004026256,0.002278495,0.0003957931,0.00006631505,0.0001208692,0.00008149838,0.002064484,0.001097616,0.005919193,0.9875395,0.0000385488],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0004809665,0.0002743909,0.00142322,0.0001146167,0.0001041271,0.0001200036,0.992171,0.00301331,0.002298197],"genre_scores_gemma":[0.001054022,0.0001714172,0.00359122,0.0001131017,0.00001986353,0.0003440161,0.992438,0.0003687888,0.001899555],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.09022848,"threshold_uncertainty_score":0.3018444,"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."}}