{"id":"W4283710404","doi":"10.3390/agriculture12070933","title":"Novel Hybrid Statistical Learning Framework Coupled with Random Forest and Grasshopper Optimization Algorithm to Forecast Pesticide Use on Golf Courses","year":2022,"lang":"en","type":"article","venue":"Agriculture","topic":"Irrigation Practices and Water Management","field":"Agricultural and Biological Sciences","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval","funders":"","keywords":"Support vector machine; Random forest; Pruning; Tree (set theory); Machine learning; Computer science; Mean squared error; Artificial intelligence; Decision tree; Algorithm; Data mining; Mathematics; Statistics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001650497,0.0001674854,0.0001605341,0.00001405967,0.0006362338,0.000244286,0.0001120177,0.00003563158,0.0003093085],"category_scores_gemma":[0.00017877,0.00005840602,0.00002779383,0.0002587878,0.00002772163,0.0001934386,0.0001107001,0.0002883022,0.000007103242],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003482724,"about_ca_system_score_gemma":0.000004488337,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000292469,"about_ca_topic_score_gemma":0.000137726,"domain_scores_codex":[0.9988254,0.00007890454,0.0001518943,0.0003408826,0.0003649181,0.0002379421],"domain_scores_gemma":[0.9991534,0.0004506821,0.0001038292,0.00004158414,0.0001284814,0.0001220232],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0004425104,0.0002921789,0.006533592,0.000008181131,0.00006641576,0.00004063422,0.0002166942,0.967695,0.000625262,0.002192159,0.00710593,0.01478143],"study_design_scores_gemma":[0.003907649,0.007894246,0.3018698,0.0001937931,0.0004567695,0.000264877,0.007603692,0.3591891,0.0001585499,0.0008983893,0.3155873,0.001975902],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7462757,0.00004538953,0.2419918,0.009216141,0.0003247951,0.001380023,0.0003386183,0.0001804888,0.0002471002],"genre_scores_gemma":[0.980305,0.00001965632,0.01648777,0.001253795,0.0002065459,0.000127847,0.000764108,0.000002986867,0.0008323281],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6085059,"threshold_uncertainty_score":0.489346,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01338026642935995,"score_gpt":0.2130407191202296,"score_spread":0.1996604526908696,"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."}}