{"id":"W4393045451","doi":"10.3390/insects15030211","title":"Thrips Species Composition in Ontario Greenhouse Floriculture: Innovative Identification Tools and Implications for Integrated Pest Management","year":2024,"lang":"en","type":"article","venue":"Insects","topic":"Insect-Plant Interactions and Control","field":"Agricultural and Biological Sciences","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Agriculture and Agri-Food Canada; Vineland Research and Innovation Centre; Ministry of Agriculture, Food and Rural Affairs","funders":"Ontario Ministry of Agriculture, Food and Rural Affairs","keywords":"Thrips; Biology; Floriculture; Western flower thrips; Integrated pest management; PEST analysis; Biological pest control; Poinsettia; Thripidae; Pest control; Botany; Agronomy; Ecology","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"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":[0.0006732454,0.0002911557,0.0002278097,0.001809764,0.001385013,0.0008312695,0.0005316961,0.0002328939,0.0009898617],"category_scores_gemma":[0.001148415,0.0002105722,0.0001867275,0.001500052,0.0005671151,0.0006632528,0.0007091779,0.0002262801,0.0001407617],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.009923911,"about_ca_system_score_gemma":0.005458809,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8671957,"about_ca_topic_score_gemma":0.9725153,"domain_scores_codex":[0.9995531,0.00003499671,0.0000141265,0.0001164863,0.0001695881,0.0001116661],"domain_scores_gemma":[0.9991486,0.00007161972,0.0001702935,0.00004135176,0.0004151934,0.0001529362],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000170305,0.00003720688,0.9040296,0.0001794593,0.00005420611,0.0003078659,0.004125508,0.0002599944,0.03481071,0.0002260521,0.00162799,0.05417121],"study_design_scores_gemma":[0.000002245905,0.0000193183,0.9950734,0.00002346084,0.00001334264,0.00005217678,0.001821737,0.0004076074,0.0004994487,0.00004138086,0.002035835,0.00001019386],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9897918,0.001419388,0.001202177,0.0003871722,0.00001747256,0.0001084011,0.001585379,0.0000516047,0.00543666],"genre_scores_gemma":[0.9924462,0.0009116413,0.003813961,0.0001189133,0.000006447824,0.00005317412,0.001111649,0.00001346233,0.001524602],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1328043,"threshold_uncertainty_score":0.2671728,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03195890458185883,"score_gpt":0.2365399722338989,"score_spread":0.20458106765204,"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."}}