{"id":"W4399925022","doi":"10.1016/j.compag.2024.109191","title":"Blockchain-based fresh food quality traceability and dynamic monitoring: Research progress and application perspectives","year":2024,"lang":"en","type":"article","venue":"Computers and Electronics in Agriculture","topic":"Food Supply Chain Traceability","field":"Agricultural and Biological Sciences","cited_by":35,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University","funders":"","keywords":"Traceability; Blockchain; Quality (philosophy); Food quality; Engineering; Computer science; Business; Environmental resource management; Data science; Biotechnology; Systems engineering; Risk analysis (engineering); Environmental science; Biology; Food science; Software engineering; Computer security","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001127937,0.0001958485,0.00021848,0.00003166675,0.0002605359,0.0002432489,0.0001584958,0.0001889522,0.000002441188],"category_scores_gemma":[0.00003808953,0.00008314155,0.00004356685,0.0005900268,0.0003208251,0.00005190158,0.00009771574,0.0006336459,4.161726e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001753982,"about_ca_system_score_gemma":0.0000225678,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001019221,"about_ca_topic_score_gemma":0.001674673,"domain_scores_codex":[0.997992,0.0002776143,0.00022764,0.0008037309,0.0002621533,0.0004369087],"domain_scores_gemma":[0.9990714,0.0005798512,0.00003280007,0.00008938654,0.0001058791,0.0001206631],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0002767626,0.001504387,0.2500851,0.00112961,0.0001527118,0.00001728182,0.01009778,0.0002579184,0.08902488,0.01810406,0.0006166829,0.6287328],"study_design_scores_gemma":[0.0003589048,0.001434301,0.9567325,0.0001373377,0.00001535216,0.00002041842,0.004824328,0.02281184,0.0008485806,0.009323739,0.003003496,0.0004892639],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9585574,0.03562785,0.00002129198,0.004980023,0.00005026451,0.0005939321,0.00002387348,0.0001297433,0.00001561451],"genre_scores_gemma":[0.999146,0.0003213737,0.0002934329,0.00001128096,0.0001167691,0.0000806631,0.00001622247,0.000001832652,0.00001242791],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7066473,"threshold_uncertainty_score":0.3390414,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02164980020805134,"score_gpt":0.3076918080458435,"score_spread":0.2860420078377922,"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."}}