{"id":"W4210333780","doi":"10.1002/eap.2557","title":"Combining photoperiod and thermal responses to predict phenological mismatch for introduced insects","year":2022,"lang":"en","type":"article","venue":"Ecological Applications","topic":"Species Distribution and Climate Change","field":"Environmental Science","cited_by":31,"is_retracted":false,"has_abstract":true,"ca_institutions":"Lethbridge College; Agriculture and Agri-Food Canada; University of Lethbridge","funders":"U.S. Forest Service; American Association of Family and Consumer Sciences; U.S. Department of Defense","keywords":"Voltinism; Phenology; Diapause; Biology; photoperiodism; Latitude; Ecology; Growing season; Growing degree-day; Geography; Larva; Horticulture","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"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":[0.0002631578,0.0002892626,0.0002162371,0.0002421354,0.0001518079,0.0003859002,0.0002713403,0.0003017635,0.0003150852],"category_scores_gemma":[0.0006475967,0.0001861361,0.0003296049,0.0001617428,0.0001681324,0.0003041107,0.0002648669,0.0002152755,0.00004457685],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000524156,"about_ca_system_score_gemma":0.0003155353,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0112381,"about_ca_topic_score_gemma":0.01319482,"domain_scores_codex":[0.9999393,0.00001354208,0.000003762214,0.00002861013,0.000006295663,0.000008441634],"domain_scores_gemma":[0.9997184,0.0001198486,0.00008076053,0.00001815348,0.00002633782,0.00003646514],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.0001680144,0.0001120925,0.2724665,0.00003740127,0.0001195114,0.00005834025,0.00008400628,0.7033583,0.01428715,0.0003872739,0.0001064993,0.008815019],"study_design_scores_gemma":[0.00001018094,0.0000918458,0.07226679,0.000002241491,0.00002761714,0.00002514164,0.00003227225,0.9262454,0.0009476378,0.0002478626,0.00009079117,0.00001226745],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9936094,0.00003885967,0.006027111,0.00002094062,0.00000209327,0.000005012988,0.00005478729,0.00004797683,0.0001938198],"genre_scores_gemma":[0.9978653,0.00001756167,0.001971322,0.000005306815,0.000001715393,0.000004848477,0.00005719583,0.000004986523,0.00007184],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0112381,"threshold_uncertainty_score":0.02234536,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03038566304267243,"score_gpt":0.26054544020856,"score_spread":0.2301597771658876,"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."}}