{"id":"W4414237533","doi":"10.36495/2312-0614.2025.3.35-38","title":"Weed control using no-till soybean growing technology in the Right-Bank Forest-Steppe of Ukraine","year":2025,"lang":"en","type":"article","venue":"Karantin i zahist roslin","topic":"Agriculture and Biological Studies","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Plough; Weed; Weed control; Tillage; Harrow","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000140477,0.0001369161,0.0001725872,0.0002106441,0.000295921,0.0002379962,0.0002165096,0.00008227868,0.0002449336],"category_scores_gemma":[0.00008545408,0.00005975102,0.0001445862,0.0001596408,0.0001710307,0.0001654832,0.0001503149,0.00008700759,0.00004270119],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001022095,"about_ca_system_score_gemma":0.001026383,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01952494,"about_ca_topic_score_gemma":0.06006842,"domain_scores_codex":[0.999921,0.00001244561,0.000005583714,0.00002273241,0.00001751333,0.000020683],"domain_scores_gemma":[0.9999119,0.000009436736,0.00003533257,0.000006187063,0.00001965337,0.00001749345],"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":[0.0008947688,0.0006613167,0.1816394,0.0007973781,0.000139538,0.001686538,0.0007076668,0.003993206,0.7211955,0.0007045439,0.0002683317,0.0873118],"study_design_scores_gemma":[0.00003797637,0.002408007,0.9345936,0.00004386157,0.00009083156,0.0004063353,0.00102036,0.003233477,0.0532106,0.000181104,0.004757924,0.00001599877],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9989612,0.0003241076,0.0001927567,0.00001529657,0.000001816321,0.00001136206,0.00003792029,0.000006520638,0.0004490866],"genre_scores_gemma":[0.9982798,0.0003407474,0.0007934064,0.00001102842,7.932873e-7,0.000006579516,0.00009793521,0.000002040368,0.000467735],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01952494,"threshold_uncertainty_score":0.03882259,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009149115122422169,"score_gpt":0.2168887963095356,"score_spread":0.2077396811871134,"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."}}