{"id":"W4365803794","doi":"10.53053/jogw1547","title":"Spotted around the web: Visual impairments; metabolomics; diagnosing girls","year":2023,"lang":"en","type":"article","venue":"The Transmitter","topic":"Nutrition, Genetics, and Disease","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Metabolomics; Psychology; Computer science; World Wide Web; Biology; Bioinformatics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002589935,0.0005844571,0.0003461746,0.001502522,0.0005712035,0.0009156517,0.0003433648,0.0006176488,0.006761872],"category_scores_gemma":[0.001109198,0.0001599639,0.0002489449,0.001196195,0.0002716678,0.0005396825,0.0006757736,0.0006741686,0.001451819],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005268428,"about_ca_system_score_gemma":0.0004204476,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01005462,"about_ca_topic_score_gemma":0.01191072,"domain_scores_codex":[0.9998363,0.00003499695,0.00001968494,0.00003689708,0.00004553153,0.00002652156],"domain_scores_gemma":[0.9997022,0.00006683756,0.0001067265,0.000009479989,0.0000579001,0.0000568391],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004084728,0.0003174286,0.7454206,0.0008751873,0.0001112964,0.009827978,0.0005209972,0.0001084324,0.004094095,0.0006360326,0.02302839,0.2146512],"study_design_scores_gemma":[0.00002479343,0.0001881037,0.9375418,0.001164542,0.0001352778,0.03206108,0.001657763,0.0002705459,0.002670038,0.00146386,0.02278978,0.00003245159],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7958962,0.104159,0.003446506,0.01159553,0.0004701879,0.0003799054,0.01522024,0.000784768,0.06804761],"genre_scores_gemma":[0.9281365,0.04457104,0.005524514,0.001741112,0.0002328277,0.0001379156,0.003161396,0.00008705274,0.01640773],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01005462,"threshold_uncertainty_score":0.02262074,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01040975074585972,"score_gpt":0.2611062061506125,"score_spread":0.2506964554047528,"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."}}