{"id":"W4410984266","doi":"10.5304/jafscd.2025.143.010","title":"Understanding the social implications of digital agricultural technologies","year":2025,"lang":"en","type":"article","venue":"Journal of Agriculture Food Systems and Community Development","topic":"Agricultural Innovations and Practices","field":"Agricultural and Biological Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Impact","funders":"Instituto Colombiano de Crédito Educativo y Estudios Técnicos en el Exterior","keywords":"Agriculture; Computer science; Data science; Business; Political science; Geography; Archaeology","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":["sts"],"consensus_categories":[],"category_scores_codex":[0.005271156,0.0004530544,0.0002700947,0.00261772,0.007449032,0.01309834,0.001105333,0.004456445,0.0068029],"category_scores_gemma":[0.00834706,0.0002429387,0.0003858975,0.001844658,0.03016309,0.0154874,0.008664194,0.0031111,0.0005122867],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006363549,"about_ca_system_score_gemma":0.003461158,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002598841,"about_ca_topic_score_gemma":0.002669033,"domain_scores_codex":[0.9949495,0.003492068,0.00009645402,0.0003149068,0.000596241,0.0005509431],"domain_scores_gemma":[0.9906108,0.007432744,0.0006049764,0.0004577364,0.0004702072,0.0004235044],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"qualitative","study_design_scores_codex":[0.000008173737,0.00002973016,0.001134709,0.00006192755,0.000005460613,0.0002772379,0.02165032,0.000557568,0.0002522639,0.9640737,0.001300235,0.01064857],"study_design_scores_gemma":[0.000006971992,0.00002010088,0.001235208,0.0002152104,0.00001001984,0.0002193299,0.05739888,0.0008686479,0.0003424815,0.8241127,0.1155576,0.00001281617],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1738758,0.005156461,0.02633941,0.1640278,0.0003893335,0.0001055566,0.0001087818,0.00004416965,0.6299527],"genre_scores_gemma":[0.9834092,0.003059115,0.002589236,0.002986326,0.0001783412,0.00007209183,0.00003295321,0.0000176544,0.007655051],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.992551,"threshold_uncertainty_score":0.04617107,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1084054207369108,"score_gpt":0.2748728894640683,"score_spread":0.1664674687271575,"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."}}