{"id":"W4413189981","doi":"10.1016/j.jfca.2025.108184","title":"A review of nut quality assessment using hyperspectral imaging technique","year":2025,"lang":"en","type":"article","venue":"Journal of Food Composition and Analysis","topic":"Nuts composition and effects","field":"Nursing","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba","funders":"","keywords":"Hyperspectral imaging; Nut; Quality (philosophy); Quality assessment; Environmental science; Computer science; Pattern recognition (psychology); Remote sensing; Artificial intelligence; Geography; Engineering; Evaluation methods; Reliability engineering","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":[0.000857716,0.0009496635,0.001081481,0.003725108,0.0003098776,0.001112562,0.0008053535,0.0009429322,0.003371773],"category_scores_gemma":[0.001221736,0.0003922374,0.0009534673,0.00298086,0.0003927718,0.001493348,0.0005042069,0.0007669086,0.001164991],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004927727,"about_ca_system_score_gemma":0.001037977,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001598215,"about_ca_topic_score_gemma":0.002019125,"domain_scores_codex":[0.9995084,0.00006954917,0.00008241301,0.000113476,0.000202488,0.00002372924],"domain_scores_gemma":[0.9990151,0.000498092,0.0001642747,0.00002975324,0.0002631391,0.00002958664],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00009948388,0.0001101245,0.001012386,0.06775981,0.0002175986,0.0003974527,0.0001729355,0.0009410519,0.0168673,0.002972425,0.02240596,0.8870435],"study_design_scores_gemma":[0.00000824665,0.0002431054,0.004546268,0.008586253,0.0004279894,0.001810299,0.0001699637,0.0005873736,0.007538125,0.001874156,0.9741375,0.00007070063],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0007891675,0.9949843,0.001466633,0.0003153278,0.0002379651,0.00001506023,0.0001215029,0.00003350836,0.002036539],"genre_scores_gemma":[0.003700203,0.9931121,0.001684753,0.0002974437,0.0001734451,0.00001705464,0.0001771119,0.000009337822,0.0008285398],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.003725108,"threshold_uncertainty_score":0.0112797,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02250020026986653,"score_gpt":0.3740140841090834,"score_spread":0.3515138838392168,"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."}}