{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009872932,0.00124667,0.001874627,0.003110787,0.0005369472,0.001722451,0.001587548,0.00129612,0.0412801],"category_scores_gemma":[0.009309841,0.0003939117,0.001336968,0.004783503,0.0002174121,0.001026897,0.0009858274,0.001519379,0.02050141],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008822553,"about_ca_system_score_gemma":0.00123473,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01034465,"about_ca_topic_score_gemma":0.01501512,"domain_scores_codex":[0.9988598,0.0001361779,0.0002699762,0.0004428962,0.0001839524,0.0001072266],"domain_scores_gemma":[0.9966195,0.0008023304,0.0009258054,0.0006710038,0.0007468801,0.0002344425],"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":[0.00133484,0.00009452629,0.03733429,0.003243564,0.0004925714,0.0001636477,0.00005070066,0.0003865755,0.0002944107,0.0005812152,0.9342763,0.02174748],"study_design_scores_gemma":[0.001805029,0.0001966024,0.2351175,0.00352309,0.0009059584,0.001482741,0.0001936097,0.00126873,0.001049525,0.003944936,0.7503204,0.0001917944],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.001300546,0.0004252316,0.0001318542,0.00008316965,0.00004064978,0.00004587981,0.9964468,0.0001714314,0.001354567],"genre_scores_gemma":[0.005332596,0.0004149469,0.0005642691,0.0002165367,0.00005027434,0.0003290778,0.991505,0.00005743284,0.001529847],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.0412801,"threshold_uncertainty_score":0.1380957,"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."}}