{"id":"W4248135211","doi":"10.1515/iupac.80.0099","title":"Fugacity","year":2016,"lang":"en","type":"dataset","venue":"IUPAC Standards Online","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"","keywords":"Terminology; Confusion; Glossary; Chemical nomenclature; Solubility; Fugacity; Diversity (politics); Chemistry; Philosophy; Sociology; Organic chemistry; Linguistics; Physical chemistry; 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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0005999749,0.001828934,0.001572124,0.004358745,0.0008251608,0.002649784,0.002733786,0.001884472,0.06444135],"category_scores_gemma":[0.006406962,0.0005070198,0.002112814,0.005875594,0.0003642911,0.00233847,0.001635304,0.002185119,0.07629386],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001979993,"about_ca_system_score_gemma":0.001864398,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03249124,"about_ca_topic_score_gemma":0.05414328,"domain_scores_codex":[0.9992083,0.00007855105,0.00009775034,0.0003310345,0.0001676492,0.0001168006],"domain_scores_gemma":[0.9983187,0.0005422199,0.0002145854,0.0003716004,0.0004373011,0.0001155786],"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":[0.0001376471,0.00003807425,0.005001877,0.001392474,0.0000985158,0.00003840758,0.00004651933,0.001284252,0.0001490683,0.001713613,0.9808684,0.009231125],"study_design_scores_gemma":[0.0001916455,0.0000259155,0.01083835,0.0004989521,0.00007253973,0.0001288855,0.00009773322,0.001103105,0.00032777,0.004001581,0.9826663,0.00004745812],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0003733457,0.0002198645,0.000112437,0.00007771368,0.00003055744,0.00001127172,0.9976163,0.0002664768,0.001292032],"genre_scores_gemma":[0.001427167,0.0001890457,0.0004538193,0.00007274017,0.00001487045,0.00007687679,0.9964265,0.00007845273,0.001260398],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.9355587,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01917825864336791,"score_gpt":0.4268095224517034,"score_spread":0.4076312638083355,"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."}}