{"id":"W4240892758","doi":"10.1515/iupac.79.1618","title":"Microalbuminuria","year":2016,"lang":"fi","type":"dataset","venue":"IUPAC Standards Online","topic":"Chemistry and Stereochemistry Studies","field":"Chemistry","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Glossary; Chemical nomenclature; Computer science; Toxicology; Chemistry; Philosophy; Biology; Linguistics","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","research_integrity","insufficient_payload"],"consensus_categories":["metaepi_narrow"],"category_scores_codex":[0.0005685922,0.002052173,0.002185995,0.00009357797,0.0005770652,0.0002414093,0.001823561,0.002053691,0.04678975],"category_scores_gemma":[0.001558818,0.001775884,0.000949747,0.0002785795,0.001014331,0.0001497856,0.001181294,0.001843201,0.0000406772],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001617441,"about_ca_system_score_gemma":0.001511782,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005678653,"about_ca_topic_score_gemma":0.000114452,"domain_scores_codex":[0.992335,0.00007382588,0.001715904,0.002152824,0.002003594,0.0017189],"domain_scores_gemma":[0.9935272,0.0004340113,0.001071966,0.003079142,0.001205235,0.0006823921],"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":[0.0005948843,0.000877202,0.00005931577,0.003676277,0.001271261,0.0005574925,0.00008191918,2.089806e-7,0.0408728,0.000002224866,0.9471855,0.004820905],"study_design_scores_gemma":[0.002841725,0.00008930961,0.000006960248,0.003208056,0.0006892578,0.0001912519,0.0003291712,0.00000165738,0.08644941,0.00008901215,0.9041781,0.001926034],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.004786272,0.007407543,0.00001732243,0.001576312,0.001027659,0.0002266489,0.979509,0.0001886167,0.005260614],"genre_scores_gemma":[0.0009067869,0.004792606,0.00004065481,0.0002155227,0.006552469,0.00004353493,0.9216646,0.0001659753,0.06561785],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.06035724,"threshold_uncertainty_score":0.9992418,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01345757708107136,"score_gpt":0.3726470129465064,"score_spread":0.3591894358654351,"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."}}