{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007319011,0.002614952,0.001797721,0.003444573,0.001233741,0.003103732,0.002601156,0.0019644,0.1560185],"category_scores_gemma":[0.003861206,0.0007125899,0.001526054,0.004943391,0.0004297467,0.003075909,0.002613973,0.002399266,0.249694],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001427098,"about_ca_system_score_gemma":0.001740516,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01431686,"about_ca_topic_score_gemma":0.02957761,"domain_scores_codex":[0.9990973,0.0001262874,0.0001134893,0.0003044067,0.0002296914,0.0001286684],"domain_scores_gemma":[0.9989157,0.0002715823,0.0001423764,0.0003293409,0.0002489056,0.00009213154],"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":[0.0001322758,0.00002674184,0.0006646613,0.001215405,0.00002294786,0.00003381127,0.00002377316,0.0001837161,0.0003781457,0.0008840217,0.9881314,0.008303056],"study_design_scores_gemma":[0.0001062483,0.00002217522,0.002684608,0.0004436191,0.00002844239,0.000121998,0.00006820971,0.000306444,0.0005381941,0.001946199,0.9936986,0.00003522797],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0003166228,0.0005699971,0.0002375995,0.0001044135,0.00005551242,0.000029581,0.9937529,0.0007894942,0.004143878],"genre_scores_gemma":[0.0005263426,0.0003247295,0.0005135477,0.000137087,0.00001051279,0.00008201903,0.9961732,0.0001255091,0.002107189],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1560185,"threshold_uncertainty_score":0,"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."}}