{"id":"W2590035457","doi":"10.17660/actahortic.2015.1068.5","title":"A PHENOLOGY MODEL FOR CODLING MOTH MANAGEMENT IN QUEBEC APPLE ORCHARDS","year":2015,"lang":"en","type":"article","venue":"Acta Horticulturae","topic":"Plant Physiology and Cultivation Studies","field":"Agricultural and Biological Sciences","cited_by":3,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"Ministère de l'Agriculture et de l'Alimentation; Ministère de l'Agriculture, des Pêcheries et de l'Alimentation","keywords":"Codling moth; Phenology; Tortricidae; Horticulture; Forestry; Biology; Environmental science; Agronomy; PEST analysis; Geography; Ecology; Lepidoptera genitalia","routes":{"ca_aff":false,"ca_fund":true,"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":[0.0004360718,0.0003863224,0.0003229093,0.0004889186,0.0007025683,0.000770168,0.0008877965,0.0006199225,0.004234806],"category_scores_gemma":[0.0007188041,0.000226777,0.0004392151,0.0003993724,0.0004117195,0.0003459184,0.0002340905,0.0004233549,0.0002778619],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007767156,"about_ca_system_score_gemma":0.003537355,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.791012,"about_ca_topic_score_gemma":0.8343255,"domain_scores_codex":[0.999851,0.00004771393,0.00000320468,0.00003424613,0.00001033599,0.00005345006],"domain_scores_gemma":[0.9996767,0.0001454171,0.0000326398,0.00001762694,0.00006975367,0.00005795359],"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":[0.0003249766,0.0002082891,0.03393622,0.00006342229,0.0001065945,0.0001386473,0.0002603269,0.9282367,0.007061005,0.01117957,0.002893731,0.01559038],"study_design_scores_gemma":[0.00003402138,0.00003780104,0.0182257,0.000007628672,0.00002298136,0.00001543432,0.00008608677,0.9796052,0.0001719131,0.0009027768,0.000876617,0.00001390812],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9674795,0.0004556742,0.02010839,0.0005014084,0.00002717826,0.0001244765,0.001005091,0.0001257275,0.01017255],"genre_scores_gemma":[0.9842848,0.0001550369,0.005452422,0.00007212121,0.000008125367,0.00007354873,0.0003081005,0.00002873019,0.009617184],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.208988,"threshold_uncertainty_score":0.4204375,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06574408007716563,"score_gpt":0.2607418916468571,"score_spread":0.1949978115696915,"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."}}