{"id":"W2054941965","doi":"10.1364/ao.39.003372","title":"Disease pattern recognition in infrared spectra of human sera with diabetes mellitus as an example","year":2000,"lang":"en","type":"article","venue":"Applied Optics","topic":"Spectroscopy Techniques in Biomedical and Chemical Research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":59,"is_retracted":false,"has_abstract":true,"ca_institutions":"National Research Council Institute for Biodiagnostics","funders":"","keywords":"Optics; Diabetes mellitus; Disease; Infrared; Medicine; Physics; Internal medicine; Endocrinology","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":[0.0003720344,0.0002863895,0.0002294638,0.0008084772,0.0001429059,0.0002176635,0.0001260753,0.0003509926,0.0007374166],"category_scores_gemma":[0.0008815939,0.00007991361,0.0001628238,0.0006473205,0.0001974705,0.0001397309,0.0001572552,0.0003098256,0.000245656],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007843265,"about_ca_system_score_gemma":0.00007066986,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003681651,"about_ca_topic_score_gemma":0.0003514147,"domain_scores_codex":[0.9998467,0.00004494283,0.00001268871,0.00002773287,0.00004886125,0.00001915395],"domain_scores_gemma":[0.9996076,0.000189656,0.00004877164,0.00003165032,0.00009122002,0.00003103747],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.002353448,0.0004361317,0.05455881,0.0002853712,0.0001040333,0.001204456,0.0003697267,0.004275812,0.8518659,0.0006259978,0.001037333,0.08288296],"study_design_scores_gemma":[0.00008260471,0.001519371,0.4162464,0.00005547447,0.0002324933,0.01007181,0.000786079,0.1021996,0.4609288,0.003482795,0.004323938,0.00007068696],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9811465,0.0004744203,0.01597284,0.0001556635,0.00003717801,0.00001618926,0.0002399517,0.0001623716,0.00179495],"genre_scores_gemma":[0.9853988,0.0002395792,0.01362551,0.00006339656,0.0000137859,0.000009928102,0.0002859891,0.000009975671,0.0003531423],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0008084772,"threshold_uncertainty_score":0.002466917,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01470513496956558,"score_gpt":0.2793761543252854,"score_spread":0.2646710193557198,"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."}}