{"id":"W4248167585","doi":"10.1515/iupac.80.0108","title":"Infinite Dilution","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; Glossary; Confusion; Chemical nomenclature; Solubility; Diversity (politics); Order (exchange); Chemistry; Philosophy; Sociology; Organic chemistry; Linguistics; Psychology; Anthropology; Business","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":[0.001621561,0.002182801,0.001625817,0.002792168,0.001190321,0.003241325,0.004484828,0.002609948,0.07198078],"category_scores_gemma":[0.01189377,0.0007347896,0.00247592,0.004187894,0.0006286974,0.002635707,0.002347854,0.002348201,0.1039626],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001710048,"about_ca_system_score_gemma":0.002608379,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01480274,"about_ca_topic_score_gemma":0.02884292,"domain_scores_codex":[0.9981499,0.0003365618,0.0002584696,0.0006160237,0.0004337613,0.00020544],"domain_scores_gemma":[0.9967668,0.000974922,0.0003401289,0.001046989,0.0006877217,0.0001835059],"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":[0.0002464018,0.00005086059,0.002237626,0.001622669,0.0001162086,0.00004923705,0.00003295266,0.001037095,0.0002100555,0.002268823,0.9835365,0.008591603],"study_design_scores_gemma":[0.0004603417,0.0000385848,0.003905299,0.000644462,0.00006355767,0.0001301272,0.00005637264,0.00123072,0.0006615954,0.006396822,0.9863656,0.00004658496],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.000331292,0.0002714468,0.0002819116,0.0001160899,0.00005405801,0.00003377863,0.9966601,0.0006136391,0.0016376],"genre_scores_gemma":[0.00108576,0.0001921287,0.0008576611,0.0001263616,0.0000190582,0.0001421695,0.9961491,0.0001121919,0.00131565],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.07198078,"threshold_uncertainty_score":0.2407997,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006836413499686905,"score_gpt":0.3473183504458095,"score_spread":0.3404819369461226,"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."}}