{"id":"W4248018825","doi":"10.1515/iupac.79.1928","title":"Renal Plasma Flow","year":2016,"lang":"en","type":"dataset","venue":"IUPAC Standards Online","topic":"Analytical chemistry methods development","field":"Chemistry","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Glossary; Chemical nomenclature; Computer science; Multidisciplinary approach; Toxicology; Chemistry; Philosophy; Linguistics; Biology; Sociology; Social science; 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":[0.001345462,0.001555281,0.002083335,0.002278639,0.0005847268,0.002471975,0.002191296,0.001671223,0.07895005],"category_scores_gemma":[0.009925058,0.0004902212,0.002263281,0.003404838,0.0002611485,0.001511918,0.001290157,0.001609441,0.07132498],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001346404,"about_ca_system_score_gemma":0.002493171,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01218598,"about_ca_topic_score_gemma":0.01885316,"domain_scores_codex":[0.9986707,0.000207922,0.0002354477,0.000533389,0.0002281776,0.0001242689],"domain_scores_gemma":[0.9966,0.000982331,0.0005526956,0.0007892837,0.0008845904,0.0001911541],"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":[0.00106699,0.00005914442,0.007398669,0.004616096,0.0003748467,0.00007384168,0.00002872346,0.0007103354,0.0002955276,0.0007492105,0.9581833,0.02644334],"study_design_scores_gemma":[0.001136657,0.0001120281,0.02277083,0.001855629,0.0005094692,0.0004420872,0.00005876795,0.001011275,0.0009555501,0.003519543,0.9675348,0.00009326811],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0003673087,0.000512917,0.0002245759,0.00009499858,0.00004751852,0.00003723627,0.9967529,0.000372623,0.001589833],"genre_scores_gemma":[0.002127853,0.000490738,0.0008168665,0.0002522416,0.0000415977,0.0002522594,0.9943679,0.00008928036,0.00156124],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.07895005,"threshold_uncertainty_score":0.2641142,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02069513755513401,"score_gpt":0.3929426624198076,"score_spread":0.3722475248646736,"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."}}