{"id":"W4417534207","doi":"10.22314/2618-8287-2025-63-4-51-57","title":"DEVELOPMENT AND REGULATION OF AGRICULTURAL BIOTECHNOLOGIES: A COMPARATIVE ANALYSIS OF INTERNATIONAL EXPERIENCE","year":2025,"lang":"","type":"article","venue":"Tekhnicheskiy servis mashin","topic":"Agricultural Development and Policies","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Commercialization; Government (linguistics); Agriculture; Process (computing); Agricultural biotechnology; Subsidy; Bioprocess; Private sector; European union","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002443684,0.000363274,0.0008411564,0.0002494318,0.0002012479,0.00007530627,0.0007351381,0.0003147458,0.0002666629],"category_scores_gemma":[0.00006912029,0.0001598536,0.0002090071,0.00381623,0.0004018444,0.0003059528,0.0005791993,0.0001732769,0.000003200458],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008046032,"about_ca_system_score_gemma":0.00004183218,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004541592,"about_ca_topic_score_gemma":0.001471244,"domain_scores_codex":[0.9976171,0.00008510392,0.001058869,0.0005113668,0.0004118577,0.0003157315],"domain_scores_gemma":[0.9985199,0.0002405031,0.0006680008,0.0001284222,0.0003766035,0.00006660273],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0001966203,0.0005547195,0.2189243,0.0002171774,0.004993647,9.968362e-7,0.04290036,0.0004016974,0.6718011,0.0216197,0.00163719,0.03675247],"study_design_scores_gemma":[0.0001576537,0.00005492983,0.8730312,0.0001610505,0.0003061548,6.375026e-7,0.01722818,0.0002899675,0.1013301,0.00006610909,0.007105182,0.0002688497],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9939091,0.001052027,0.0000125415,0.002029329,0.0002161336,0.0003283946,0.00005798986,0.00005298891,0.002341551],"genre_scores_gemma":[0.9953938,0.0005063886,0.001329973,0.00007201735,0.00002680105,0.00002434712,0.0002176473,7.84584e-7,0.00242825],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6541069,"threshold_uncertainty_score":0.6518639,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03565661856139074,"score_gpt":0.2764586848543177,"score_spread":0.240802066292927,"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."}}