{"id":"W4408326856","doi":"10.1016/j.cofs.2025.101299","title":"Editorial overview: Harnessing technology for environmental sustainability in the agri-food sector","year":2025,"lang":"en","type":"article","venue":"Current Opinion in Food Science","topic":"Bioeconomy and Sustainability Development","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Innovation Cluster (Canada)","funders":"","keywords":"Sustainability; Food sector; Business; Environmental planning; Biotechnology; Agriculture; Environmental science; Biology; Ecology","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":[0.001548794,0.0001305924,0.0001515766,0.00009090381,0.0003665266,0.0001047941,0.0007780583,0.0001036736,0.00001169033],"category_scores_gemma":[0.000360549,0.00005456082,0.00005395489,0.001316654,0.0005325194,0.0002308102,0.0002246,0.00023055,0.000001108566],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005094925,"about_ca_system_score_gemma":0.0002059805,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000009357591,"about_ca_topic_score_gemma":0.00008108393,"domain_scores_codex":[0.9983991,0.00008003332,0.0003180706,0.0005143681,0.0002413656,0.0004470314],"domain_scores_gemma":[0.9995031,0.0002177915,0.00006336913,0.0001169377,0.00006324241,0.00003558861],"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":[0.0001151686,0.001355886,0.1507828,0.0004226018,0.000007109024,1.798089e-7,0.001220003,0.00002846475,0.002626081,0.04356982,0.008556633,0.7913153],"study_design_scores_gemma":[0.0004018349,0.0004092882,0.2496333,0.00007795396,0.000001428341,6.616908e-7,0.005592268,0.00007187504,0.0004198141,0.03211819,0.711065,0.0002083624],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9421399,0.00226763,0.00004120926,0.01300465,0.04079117,0.001603456,0.00004072885,0.00003492305,0.00007628499],"genre_scores_gemma":[0.9978234,0.00006965026,0.00002322222,0.00005321021,0.001743514,0.000265739,0.00001336056,3.846111e-7,0.000007497539],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7911069,"threshold_uncertainty_score":0.2819063,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03647850087939505,"score_gpt":0.3026600335895355,"score_spread":0.2661815327101405,"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."}}