{"id":"W2286192392","doi":"10.3390/nu8030119","title":"Validation of Correction Algorithms for Near-IR Analysis of Human Milk in an Independent Sample Set—Effect of Pasteurization","year":2016,"lang":"en","type":"article","venue":"Nutrients","topic":"Infant Nutrition and Health","field":"Nursing","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"Hamilton Health Sciences Foundation; McMaster University; Canadian Institutes of Health Research; Hamilton Health Sciences","keywords":"Pasteurization; Food science; Lactose; Spectrum analyzer; Chemistry; Matrix (chemical analysis); Mathematics; Computer science; Chromatography","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":[],"consensus_categories":[],"category_scores_codex":[0.0005146469,0.00008816088,0.0003562248,0.0005222392,0.0000579899,0.000006692078,0.00007519365,0.0001039148,0.00003641939],"category_scores_gemma":[0.0001318659,0.00007370831,0.0001081835,0.0006803007,0.00003783319,0.000171456,0.000009601056,0.00004225582,5.905425e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009634991,"about_ca_system_score_gemma":0.00001342597,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004026206,"about_ca_topic_score_gemma":0.0000944154,"domain_scores_codex":[0.9986866,0.000195128,0.0005265391,0.0001879179,0.0002625931,0.0001412629],"domain_scores_gemma":[0.9988803,0.0002272957,0.0004238751,0.0001859387,0.0002417904,0.00004083157],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.001376306,0.0005600099,0.8886583,0.0003041811,0.00008195515,1.175479e-7,0.001257635,0.0001651152,0.09130249,0.00009804923,0.00014579,0.01605004],"study_design_scores_gemma":[0.004923743,0.002239931,0.3144735,0.0002189656,0.0003026877,2.748126e-7,0.0001296528,0.007434867,0.6698135,0.0002378916,0.0001097344,0.0001151998],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9913176,0.000008801732,0.007471233,0.00003969449,0.0003305555,0.0005711383,0.0002244035,0.00001435701,0.00002227395],"genre_scores_gemma":[0.9990934,0.000006117754,0.000340055,0.00001482075,0.00003157785,0.00002512035,0.0004676747,0.00001142865,0.00000980389],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.578511,"threshold_uncertainty_score":0.3005738,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03141949077876361,"score_gpt":0.3498567356450871,"score_spread":0.3184372448663235,"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."}}