{"id":"W4365142075","doi":"10.1515/iupac.94.0637","title":"Lipophilic","year":2023,"lang":"en","type":"dataset","venue":"IUPAC Standards Online","topic":"Various Chemistry Research Topics","field":"Chemistry","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Glossary; Terminology; Meaning (existential); Abandonment (legal); Field (mathematics); Epistemology; Chemistry; Computer science; Linguistics; Philosophy; Mathematics; Political science","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":[0.0004317785,0.0006098209,0.0007404593,0.0001524199,0.0001634635,0.0001483516,0.001315851,0.0009550672,0.009205348],"category_scores_gemma":[0.002081887,0.0006119924,0.0002978701,0.0003688592,0.0001939132,0.0000532583,0.0006894681,0.001975049,0.0001022834],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008620895,"about_ca_system_score_gemma":0.001488045,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005698216,"about_ca_topic_score_gemma":0.001111953,"domain_scores_codex":[0.9954018,0.00002728917,0.0005796305,0.000850747,0.002250343,0.0008901675],"domain_scores_gemma":[0.9967813,0.0001734852,0.000231683,0.001941082,0.0004805541,0.0003918203],"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":[0.00005500891,0.0001793063,0.000005363491,0.001447592,0.0001940681,0.0005399574,0.000006062858,0.000003520682,0.000403361,0.000001454098,0.9960704,0.001093862],"study_design_scores_gemma":[0.0006101382,0.00003252892,0.000002386031,0.0003726356,0.00009105809,0.00003479091,0.00002940312,0.00001924052,0.0008980969,0.0001813032,0.9971603,0.0005680931],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0002302549,0.0004071986,0.000001691711,0.0006767277,0.0003425112,0.0001004474,0.9972624,0.0004016432,0.0005771012],"genre_scores_gemma":[0.000004832218,0.001336907,0.00001799214,0.00007665755,0.002667186,0.00003794194,0.9813223,0.0001241342,0.01441203],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.01594011,"threshold_uncertainty_score":0.9996331,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02550549476589669,"score_gpt":0.4275980500540184,"score_spread":0.4020925552881217,"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."}}