{"id":"W4254390739","doi":"10.1515/iupac.87.0505","title":"Paraoxonase","year":2016,"lang":"en","type":"dataset","venue":"IUPAC Standards Online","topic":"Paraoxonase enzyme and polymorphisms","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canada Research Chairs; University of Toronto","funders":"","keywords":"Glossary; Relation (database); Chemical nomenclature; Psychology; Computer science; Engineering ethics; Chemistry; Linguistics; Philosophy; Engineering; Data mining; Organic chemistry","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":[0.001370129,0.001244748,0.001499088,0.002977132,0.0006060009,0.002135921,0.001895942,0.001335801,0.04346098],"category_scores_gemma":[0.008572596,0.0005135175,0.001717342,0.005600089,0.0003489878,0.001458129,0.001717252,0.001835924,0.04194883],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001080081,"about_ca_system_score_gemma":0.003124339,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0107014,"about_ca_topic_score_gemma":0.01967979,"domain_scores_codex":[0.9983719,0.0002680581,0.0004502291,0.000454804,0.0003179643,0.0001369964],"domain_scores_gemma":[0.9973395,0.0008200823,0.0005239844,0.0005534403,0.0005901469,0.0001727859],"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":[0.0005894988,0.00004569869,0.005611471,0.00820846,0.0002032551,0.0001043488,0.0000700157,0.0005036051,0.0007587181,0.001585205,0.958684,0.02363557],"study_design_scores_gemma":[0.0002567947,0.00003554464,0.008381969,0.001237786,0.0001178626,0.0001748242,0.00005068111,0.0001716635,0.0005355601,0.001351196,0.9876525,0.000033621],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0002813304,0.0006521562,0.0001923972,0.0001195474,0.00004217809,0.00003333568,0.9971762,0.0002151537,0.001287726],"genre_scores_gemma":[0.0008538268,0.0005881853,0.0007567336,0.000170611,0.00001290273,0.0001729275,0.9963384,0.00005722171,0.001049351],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.04346098,"threshold_uncertainty_score":0.1453915,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01164722594659455,"score_gpt":0.3809158535607655,"score_spread":0.369268627614171,"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."}}