{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00009498707,0.00009696297,0.00009156921,0.00004028913,0.0001211047,0.000288572,0.00007748456,0.00004973534,0.00005936644],"category_scores_gemma":[0.000005592613,0.00004216556,0.00003074976,0.0004380501,0.00001942206,0.0002666675,0.00001813195,0.000120339,0.00001325035],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001322711,"about_ca_system_score_gemma":0.00001063888,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004422246,"about_ca_topic_score_gemma":0.1115984,"domain_scores_codex":[0.9993683,0.00002019374,0.0001961366,0.0002318849,0.00005586131,0.0001276303],"domain_scores_gemma":[0.9996752,0.0001243797,0.0000389172,0.00003711986,0.0001028249,0.00002160704],"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":[0.0001253904,0.0002052591,0.01206125,0.00004252204,0.00008569044,0.00001275042,0.001309925,0.000006980928,0.7386249,0.06796735,0.005363181,0.1741948],"study_design_scores_gemma":[0.0001196668,0.00008275299,0.9437789,0.00006662029,0.00001298234,0.00001553662,0.000229251,0.00008111941,0.00187015,0.001498258,0.05212847,0.0001163096],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9958006,0.00009373296,0.0001928737,0.001721071,0.0002426236,0.0005497856,0.0002013031,0.00007226944,0.001125796],"genre_scores_gemma":[0.997704,0.00003012961,0.0000821611,0.0001433006,0.00008683867,0.000242606,0.000782421,0.000001029544,0.0009275274],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9317176,"threshold_uncertainty_score":0.9046126,"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."}}