{"id":"W3112539334","doi":"10.1017/wet.2020.137","title":"Pinto bean response to seeding rate and herbicides","year":2020,"lang":"en","type":"article","venue":"Weed Technology","topic":"Weed Control and Herbicide Applications","field":"Agricultural and Biological Sciences","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Kimberly-Clark (Canada)","funders":"","keywords":"Bentazon; Weed control; Seeding; Pinto bean; Weed; Agronomy; Mathematics; Yield (engineering); Field experiment; Biology; Horticulture; Phaseolus; Physics","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":[],"consensus_categories":[],"category_scores_codex":[0.0003414814,0.0004299017,0.0005641456,0.0002658822,0.0002225797,0.0003795137,0.0002942532,0.0002501097,0.001268343],"category_scores_gemma":[0.000481731,0.0002636422,0.0002805374,0.000240835,0.0001789711,0.0002506024,0.0002461028,0.000509799,0.0001950079],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001118734,"about_ca_system_score_gemma":0.0002926122,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008765119,"about_ca_topic_score_gemma":0.01159276,"domain_scores_codex":[0.9997192,0.00004875802,0.00002440682,0.00009080132,0.00006547257,0.00005136972],"domain_scores_gemma":[0.999359,0.0001282774,0.0001714048,0.0000374884,0.0001398229,0.0001639929],"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":[0.001358533,0.0001175745,0.01268384,0.0001093502,0.00003102361,0.00007671588,0.00005801049,0.0002424217,0.9826909,0.00002046571,0.00008260144,0.00252862],"study_design_scores_gemma":[0.0001066228,0.007673313,0.7005848,0.00003209058,0.00007774017,0.0002094066,0.0003597943,0.00212382,0.2849011,0.00007244426,0.003815766,0.00004321918],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9977252,0.0003615904,0.0003595832,0.00002676126,0.00001516179,0.00004844208,0.0004050689,0.00005865625,0.0009995622],"genre_scores_gemma":[0.9959853,0.0001944441,0.0005557824,0.00009172873,0.000005967755,0.00007034226,0.0008800459,0.00002015828,0.002196157],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008765119,"threshold_uncertainty_score":0.01742822,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01596653498647804,"score_gpt":0.218582299980672,"score_spread":0.202615764994194,"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."}}