{"id":"W4388822274","doi":"10.3390/spectroscj1030013","title":"Performance Evaluation of Fiber Near-Infrared (NIR) Optic Probes for Quality Control of Curd Hardness in Cheese Produced by Spray-Dried Milk","year":2023,"lang":"en","type":"article","venue":"Spectroscopy Journal","topic":"Meat and Animal Product Quality","field":"Agricultural and Biological Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Universitat Autònoma de Barcelona; Consejo Superior Universitario Centroamericano; International Development Research Centre; Agricultural Center, Louisiana State University; Louisiana State University","keywords":"Wavelength; Materials science; Dairy industry; Factorial experiment; Coagulation; Analytical Chemistry (journal); Chemistry; Optoelectronics; Food science; Mathematics; Chromatography","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"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":[0.0007608642,0.0004338341,0.0002965816,0.0001890237,0.0001152266,0.0002531146,0.0003446767,0.0004781231,0.0003045143],"category_scores_gemma":[0.001030936,0.0001812272,0.0003932703,0.0001248274,0.0001631679,0.0002715989,0.000184524,0.000211515,0.0001097386],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003509464,"about_ca_system_score_gemma":0.0001586075,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006586472,"about_ca_topic_score_gemma":0.0009455091,"domain_scores_codex":[0.9995288,0.00008506366,0.00001700125,0.00010512,0.0002333323,0.00003075743],"domain_scores_gemma":[0.9995744,0.0001253844,0.0001455349,0.00002976371,0.0001042314,0.00002073689],"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":[0.0001575406,0.00002567212,0.0008898209,0.00003932518,0.000007910575,0.00001932848,0.00003101661,0.0003837644,0.9949228,0.00001949647,0.00001089987,0.003492456],"study_design_scores_gemma":[0.000007972997,0.001004226,0.008906443,0.000005618832,0.00003034362,0.00007711478,0.00004976009,0.008295747,0.9811048,0.000020367,0.0004839064,0.00001376511],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9857407,0.0007287868,0.01306221,0.00003519757,0.00001828731,0.00002793592,0.00005095504,0.00007215051,0.0002638464],"genre_scores_gemma":[0.9722544,0.0006335602,0.0262046,0.00005248821,0.00001090879,0.00003068555,0.00006833881,0.00002597814,0.0007191005],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0007608642,"threshold_uncertainty_score":0.00402391,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06469513049817086,"score_gpt":0.3364951219876849,"score_spread":0.2717999914895141,"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."}}