{"id":"W1968133935","doi":"10.1016/s0039-9140(03)00042-0","title":"Measurement of lactate in whole human blood with near-infrared transmission spectroscopy","year":2003,"lang":"en","type":"article","venue":"Talanta","topic":"Spectroscopy and Chemometric Analyses","field":"Chemistry","cited_by":40,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University","funders":"Merck Canada","keywords":"Chemistry; Correlation coefficient; Standard error; Analytical Chemistry (journal); Partial least squares regression; Calibration; Coefficient of determination; Infrared spectroscopy; Whole blood; Near-infrared spectroscopy; Chromatography; Statistics; Mathematics; Optics; Internal medicine","routes":{"ca_aff":true,"ca_fund":true,"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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.000139534,0.0001631651,0.0002900311,0.00008842036,0.00006081427,0.00002100729,0.0001431235,0.00007204422,0.001177595],"category_scores_gemma":[0.00001747056,0.0001345429,0.00005908272,0.000417152,0.00006514969,0.00005575105,0.000008526622,0.0001693086,0.000008300924],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006092712,"about_ca_system_score_gemma":0.00007437494,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008467348,"about_ca_topic_score_gemma":0.00004797963,"domain_scores_codex":[0.9988421,0.00001748551,0.0002561854,0.0002410811,0.0003755673,0.0002675774],"domain_scores_gemma":[0.9995019,0.00001212132,0.0001013299,0.0002666353,0.00004311997,0.00007490928],"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":[0.00005259386,0.0003264626,0.02330636,0.00009708322,0.00007969531,0.00002342299,0.0002113023,0.000008672935,0.9756447,0.00007045177,0.0001444745,0.00003479082],"study_design_scores_gemma":[0.00147808,0.0001003683,0.001612873,0.00009931638,0.0001502523,0.00001320277,0.0002133599,0.000009935556,0.9945472,0.0001626802,0.001444728,0.000167987],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9382079,0.0005976839,0.00007749962,0.00002914425,0.000006279826,0.00004835461,0.000006300049,0.00003455375,0.06099232],"genre_scores_gemma":[0.9978795,0.00002702057,0.0004284124,0.00001304156,0.00001249478,0.000006984793,0.00001036509,0.00002037626,0.001601822],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05967162,"threshold_uncertainty_score":0.9997355,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01603768751135475,"score_gpt":0.2543816350955855,"score_spread":0.2383439475842307,"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."}}