{"id":"W4232075664","doi":"10.1515/iupac.80.0195","title":"Volume Fraction","year":2016,"lang":"en","type":"dataset","venue":"IUPAC Standards Online","topic":"Chemistry and Chemical Engineering","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"","keywords":"Glossary; Terminology; Confusion; Chemical nomenclature; Solubility; Diversity (politics); Order (exchange); Chemistry; Philosophy; Sociology; Organic chemistry; Linguistics; Psychology; Anthropology","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":[0.000676249,0.001745501,0.001402661,0.003896875,0.0006242082,0.002536719,0.002270698,0.001287354,0.06415644],"category_scores_gemma":[0.005558029,0.000487544,0.001759966,0.004749802,0.0003410347,0.002477768,0.001597172,0.001667404,0.08326378],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001317757,"about_ca_system_score_gemma":0.001404153,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01690359,"about_ca_topic_score_gemma":0.02739347,"domain_scores_codex":[0.9989166,0.00008711283,0.000158037,0.0004817037,0.000228605,0.0001279023],"domain_scores_gemma":[0.9982997,0.0003779325,0.0002527456,0.0004734823,0.0004951719,0.0001009756],"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":[0.0001937222,0.0000394273,0.007055776,0.001516578,0.0001123429,0.00003733486,0.00004975871,0.0006246687,0.0003991464,0.001610022,0.9753068,0.01305429],"study_design_scores_gemma":[0.00016657,0.00002331166,0.01146487,0.0003967975,0.00004924674,0.0001326098,0.00009809821,0.0006566425,0.0005903339,0.002615263,0.9837714,0.000034878],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0003665255,0.0001601892,0.0001070495,0.00005728218,0.00003913539,0.00001262035,0.9979156,0.0003387474,0.00100286],"genre_scores_gemma":[0.001379205,0.0001494711,0.0004678183,0.0000703596,0.00002159649,0.00006032777,0.9966994,0.00008096888,0.001070945],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.06415644,"threshold_uncertainty_score":0.2146247,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005063850938851964,"score_gpt":0.3168094016892916,"score_spread":0.3117455507504396,"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."}}