{"id":"W3132389963","doi":"10.3389/fbloc.2021.613346","title":"Meeting Changing Customer Requirements in Food and Agriculture Through the Application of Blockchain Technology","year":2021,"lang":"en","type":"article","venue":"Frontiers in Blockchain","topic":"Blockchain Technology Applications and Security","field":"Computer Science","cited_by":36,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"Government of Ontario","keywords":"Traceability; Blockchain; Agriculture; Product (mathematics); Business; Government (linguistics); Supply chain; Food industry; Food safety; Marketing; Computer science; Computer security; Geography","routes":{"ca_aff":true,"ca_fund":true,"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":[0.004152294,0.0003069045,0.0003098953,0.0009883661,0.00286859,0.004161843,0.001051084,0.001516274,0.005519143],"category_scores_gemma":[0.006561812,0.0002801725,0.0002815499,0.001686375,0.001275924,0.003858055,0.00254151,0.0009961806,0.001856943],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007971168,"about_ca_system_score_gemma":0.0155636,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0959201,"about_ca_topic_score_gemma":0.164389,"domain_scores_codex":[0.9958818,0.001342027,0.000141172,0.0002640572,0.001739502,0.0006315698],"domain_scores_gemma":[0.9948334,0.001958769,0.0004303386,0.0004368062,0.001869404,0.0004713031],"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":[0.0003745487,0.0004420714,0.02734337,0.0008081403,0.0000451079,0.002020945,0.01581586,0.01965184,0.05139567,0.1097235,0.03441647,0.7379625],"study_design_scores_gemma":[0.00008156017,0.0004762458,0.0285929,0.0007569179,0.00005830131,0.001468267,0.03053673,0.06298493,0.03343959,0.06922185,0.7721035,0.0002791722],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4317879,0.003327998,0.2259571,0.03201459,0.0003330093,0.001588729,0.0007544445,0.001129216,0.303107],"genre_scores_gemma":[0.8604782,0.00313594,0.08921183,0.00179019,0.00005751327,0.0002361482,0.0004804068,0.0001721753,0.04443764],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0959201,"threshold_uncertainty_score":0.1907235,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008041946573761059,"score_gpt":0.2291384161836623,"score_spread":0.2210964696099013,"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."}}