{"id":"W7161766809","doi":"10.82308/20835","title":"Implementation of a bioherbicide strategy for golf course environments","year":2009,"lang":"en","type":"dissertation","venue":"","topic":"Turfgrass Adaptation and Management","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Bioherbicide; Resource (disambiguation); Forester; Adventure","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":[0.0002305693,0.000338093,0.0002497394,0.0002409367,0.0003464732,0.0006238109,0.0003383706,0.0004503416,0.001526115],"category_scores_gemma":[0.0001911562,0.00008089401,0.0002266776,0.0001912029,0.0001615142,0.0003009292,0.0003369939,0.0002642552,0.0002516739],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001225691,"about_ca_system_score_gemma":0.001964342,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01198098,"about_ca_topic_score_gemma":0.03708079,"domain_scores_codex":[0.9998376,0.00003368437,0.000007742708,0.00002732856,0.00004388685,0.00004966439],"domain_scores_gemma":[0.9998746,0.000007384225,0.00002347828,0.000007780604,0.00005947149,0.00002725796],"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":[0.0002707981,0.000856028,0.00342741,0.000388392,0.00001808289,0.0001402617,0.000220775,0.002067422,0.854637,0.0006697782,0.0004520759,0.136852],"study_design_scores_gemma":[0.0001562398,0.01298822,0.06914242,0.0002052962,0.0001119664,0.0003373077,0.001931179,0.007362513,0.8381999,0.0006227626,0.0688993,0.00004279456],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9807563,0.001494041,0.006535401,0.0009321782,0.00003987698,0.0004966013,0.0001057671,0.00006680603,0.009572987],"genre_scores_gemma":[0.965679,0.002362545,0.02083346,0.0001898209,0.00001063556,0.0001697465,0.0001749349,0.000007224158,0.01057268],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01198098,"threshold_uncertainty_score":0.02382249,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01572057861084944,"score_gpt":0.3129692210535243,"score_spread":0.2972486424426748,"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."}}