{"id":"W4408177723","doi":"10.1080/87559129.2025.2474641","title":"Intelligent Quality Control of Starch-Rich Root and Tuber Products in the Cold Chain Logistics: Research Progress and Challenges","year":2025,"lang":"en","type":"article","venue":"Food Reviews International","topic":"Food Supply Chain Traceability","field":"Agricultural and Biological Sciences","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"Fundamental Research Funds for the Central Universities; National Key Research and Development Program of China; Higher Education Discipline Innovation Project","keywords":"Cold chain; Quality (philosophy); Starch; Control (management); Business; Food science; Biotechnology; Chemistry; Biology; Computer science; Artificial intelligence","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":[0.001864435,0.0009731455,0.001402761,0.001145088,0.0003721742,0.00271025,0.001144925,0.001204053,0.0009872387],"category_scores_gemma":[0.001311449,0.0003903213,0.0009406261,0.001180641,0.0008635223,0.00249579,0.0009461959,0.001336547,0.0005185869],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007220409,"about_ca_system_score_gemma":0.0008991958,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001582086,"about_ca_topic_score_gemma":0.001320253,"domain_scores_codex":[0.9988189,0.0001607218,0.00008391315,0.0003437204,0.0004811401,0.0001115256],"domain_scores_gemma":[0.9986776,0.0003773438,0.0002813407,0.00008476053,0.0005192799,0.0000597079],"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":[0.0003639596,0.000197261,0.005484333,0.01039555,0.0002055274,0.0005037471,0.0006001275,0.008304997,0.3414626,0.009150202,0.003534039,0.6197978],"study_design_scores_gemma":[0.00004927532,0.003205714,0.01441646,0.003066834,0.0006422281,0.002364227,0.002200631,0.06252569,0.5718738,0.01756973,0.3217193,0.0003660018],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.08390468,0.711076,0.1888185,0.002481053,0.0007931698,0.0001696815,0.0002605881,0.0004712404,0.01202514],"genre_scores_gemma":[0.4582112,0.4441646,0.08537531,0.001492924,0.0006358057,0.0001714984,0.0005412649,0.0001867914,0.009220606],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.00271025,"threshold_uncertainty_score":0.009860158,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1924895440009716,"score_gpt":0.3789082562722064,"score_spread":0.1864187122712348,"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."}}