{"id":"W2025625143","doi":"10.1016/j.cropro.2009.05.011","title":"Response of dry bean to pre-plant incorporated and pre-emergence applications of S-metolachlor and fomesafen","year":2009,"lang":"en","type":"article","venue":"Crop Protection","topic":"Weed Control and Herbicide Applications","field":"Agricultural and Biological Sciences","cited_by":32,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Guelph","funders":"University of Guelph","keywords":"Dry bean; Biology; Metolachlor; Shoot; Dry weight; Agronomy; Weed; Weed control; Horticulture; Pesticide; Atrazine; Cultivar","routes":{"ca_aff":true,"ca_fund":true,"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":[],"consensus_categories":[],"category_scores_codex":[0.0002573961,0.0005104192,0.0008616733,0.0002759079,0.0002225031,0.0005118501,0.0003976721,0.0007107513,0.002167398],"category_scores_gemma":[0.0006818258,0.000326111,0.0005520452,0.0002754022,0.0004347851,0.0002984762,0.0003277745,0.001137686,0.0004644104],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001135255,"about_ca_system_score_gemma":0.0005978235,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01046997,"about_ca_topic_score_gemma":0.009182966,"domain_scores_codex":[0.9996221,0.0000485975,0.00002380845,0.0001129678,0.00004867207,0.0001439064],"domain_scores_gemma":[0.9991008,0.0002690742,0.0001045279,0.00006445426,0.0001395386,0.0003215496],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.003436126,0.00008828791,0.0005022263,0.0000460153,0.00001152686,0.00004175034,0.00003996212,0.00004805572,0.9952983,0.0000153133,0.00004193258,0.0004306371],"study_design_scores_gemma":[0.0001257678,0.006138804,0.05081307,0.00001181437,0.00005330622,0.0001913906,0.0002762321,0.001768947,0.9390755,0.00006762861,0.001448053,0.00002954464],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9965868,0.0004191715,0.0008312548,0.00009543028,0.00006973018,0.0000375401,0.0008855794,0.00009757555,0.0009768589],"genre_scores_gemma":[0.9892218,0.0002032073,0.0009512712,0.0002133912,0.00001925752,0.00005472172,0.002044411,0.00007179759,0.007220117],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01046997,"threshold_uncertainty_score":0.02081805,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0134317382624257,"score_gpt":0.2293114097670846,"score_spread":0.2158796715046589,"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."}}