{"id":"W2969433328","doi":"10.1111/apa.14982","title":"Human milk analyser underestimated protein content of unfortified and fortified samples compared to elemental analysis","year":2019,"lang":"en","type":"article","venue":"Acta Paediatrica","topic":"Infant Nutrition and Health","field":"Nursing","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"","keywords":"Pasteurization; Medicine; Analyser; Food science; Chemistry; Chromatography","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.003418304,0.001437175,0.001097753,0.001809482,0.0008873931,0.001468385,0.0009926283,0.001507856,0.001976447],"category_scores_gemma":[0.005944495,0.0008532042,0.0005081132,0.001147608,0.001424094,0.0007125981,0.0008849212,0.001041981,0.001105025],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007924273,"about_ca_system_score_gemma":0.0005600202,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006753547,"about_ca_topic_score_gemma":0.007861499,"domain_scores_codex":[0.9913502,0.001913619,0.0006306433,0.002150752,0.0034225,0.0005323149],"domain_scores_gemma":[0.9968007,0.0009618187,0.0004073274,0.0005735184,0.001172076,0.00008452059],"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":[0.004706088,0.0002794828,0.1384725,0.0007126717,0.0006090821,0.001023177,0.001419079,0.0007657296,0.7959232,0.0006770364,0.001691573,0.05372037],"study_design_scores_gemma":[0.00007913717,0.001089029,0.2073528,0.0001764199,0.000626013,0.003390688,0.0004726339,0.009550582,0.7647625,0.0009113676,0.01150788,0.00008089156],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8773723,0.01878311,0.09133749,0.0007449637,0.0009994728,0.0003256179,0.00249977,0.001177424,0.006759776],"genre_scores_gemma":[0.9433341,0.001920737,0.04728873,0.0013938,0.0001201095,0.0002073844,0.001334061,0.0006298932,0.003771107],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006753547,"threshold_uncertainty_score":0.01807797,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06313324452393862,"score_gpt":0.3199634897992891,"score_spread":0.2568302452753505,"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."}}