{"id":"W4365149555","doi":"10.1515/iupac.94.0912","title":"Water/Octanol Partition Coefficient","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; Abandonment (legal); Meaning (existential); Partition (number theory); Field (mathematics); Computer science; Epistemology; Mathematics; Linguistics; Philosophy; 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":[0.000532831,0.0005713357,0.0006463905,0.0001366608,0.0002201631,0.0001814148,0.0008763112,0.0007800077,0.008512122],"category_scores_gemma":[0.0007589114,0.0004769994,0.000250855,0.0002221591,0.0001941102,0.00005409023,0.0005743725,0.001371502,0.0001486964],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001047049,"about_ca_system_score_gemma":0.0007016789,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002831523,"about_ca_topic_score_gemma":0.0005133211,"domain_scores_codex":[0.9952026,0.00003795606,0.0006401126,0.0008348881,0.00223782,0.001046647],"domain_scores_gemma":[0.997358,0.0000881071,0.0001648969,0.001481163,0.0005608896,0.0003469345],"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":[0.00008862893,0.0003157954,0.000003361386,0.001213062,0.0001464734,0.0004341556,0.00001974545,0.00004462614,0.004127508,0.000001414858,0.993181,0.0004241955],"study_design_scores_gemma":[0.0007007531,0.00004907566,8.067717e-7,0.000374418,0.00009924434,0.00002687552,0.00005043951,0.0001133308,0.02722177,0.00007821323,0.9707505,0.0005345667],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.001096632,0.0001411988,0.00001983039,0.0005671949,0.0004008978,0.0001521348,0.9969355,0.0003806986,0.0003059113],"genre_scores_gemma":[0.00007422551,0.0005436473,0.00001086682,0.00006012591,0.001363418,0.00006226457,0.9913602,0.0001016879,0.0064236],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.02309426,"threshold_uncertainty_score":0.9997682,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02351100000027806,"score_gpt":0.4054324025850816,"score_spread":0.3819214025848036,"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."}}