{"id":"W4413982779","doi":"10.1007/s10343-025-01220-x","title":"Optimizing Glyphosate Efficacy and dose Reduction with Adjuvants for Ground Cherry (Physalis divaricata L.) Control","year":2025,"lang":"en","type":"article","venue":"Journal of Crop Health","topic":"Weed Control and Herbicide Applications","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Saskatchewan","funders":"","keywords":"Glyphosate; Reduction (mathematics); Physalis; Horticulture; Biology; Agronomy; Mathematics","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":[0.0004149252,0.00009315008,0.0002782582,0.00002428408,0.0002953288,0.0000710213,0.0001323566,0.00004522701,0.000006241713],"category_scores_gemma":[0.00002525244,0.00003464221,0.00005433845,0.0001940225,0.00004937698,0.0001412867,0.00001417179,0.0001386709,5.672359e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005029042,"about_ca_system_score_gemma":0.00007064735,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006535294,"about_ca_topic_score_gemma":0.00008868201,"domain_scores_codex":[0.9991493,0.00004652654,0.0003488046,0.0001402691,0.0001127387,0.0002023336],"domain_scores_gemma":[0.999127,0.0001751827,0.0003622763,0.00004575957,0.0001691047,0.0001206844],"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":[0.002873908,0.0004845985,0.0002973933,0.0000939925,0.0002239696,0.000003084323,0.0004627335,0.0001621866,0.5291891,0.00433136,0.003099039,0.4587787],"study_design_scores_gemma":[0.007277311,0.003492498,0.9151143,0.0003417799,0.0001870956,0.0001019518,0.000797452,0.0004218603,0.0003569127,0.004276067,0.06734468,0.0002881019],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.935417,0.003197539,0.002400354,0.05793722,0.0001513478,0.0006562831,0.00002649899,0.00002533785,0.0001884297],"genre_scores_gemma":[0.9970614,0.00009078929,0.001286185,0.001122989,0.0003105407,0.00001422654,0.0000036187,0.00000115334,0.0001091526],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9148169,"threshold_uncertainty_score":0.227146,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02010995694077272,"score_gpt":0.2825107034098936,"score_spread":0.2624007464691209,"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."}}