{"id":"W4416807651","doi":"10.1002/ps.70409","title":"Joint effects of temperature and humidity on cotton yield vulnerability to verticillium wilt disease under climate change","year":2025,"lang":"en","type":"article","venue":"Pest Management Science","topic":"Research in Cotton Cultivation","field":"Agricultural and Biological Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ministry of Agriculture","funders":"National Key Research and Development Program of China; National Natural Science Foundation of China","keywords":"Climate change; Yield (engineering); Vulnerability (computing); Verticillium wilt; Adaptation (eye); Global warming; Microclimate; Humidity","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":[0.0004743539,0.0004520251,0.0002406736,0.0002043554,0.0002254598,0.0006214029,0.0002173968,0.0002575083,0.0009001212],"category_scores_gemma":[0.0005448093,0.0001499379,0.0005218118,0.0001766144,0.0002003662,0.0003334532,0.0003136529,0.0002631043,0.00008844678],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008135596,"about_ca_system_score_gemma":0.0003719144,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0126401,"about_ca_topic_score_gemma":0.0101865,"domain_scores_codex":[0.9998502,0.00004233825,0.000009106928,0.00003924628,0.00001965109,0.0000395444],"domain_scores_gemma":[0.999644,0.0001731508,0.00005550479,0.00002397631,0.00005624193,0.00004702148],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005508752,0.0002068915,0.6658238,0.0001266902,0.0005759079,0.0005624624,0.0001518798,0.2871571,0.03205265,0.0006757264,0.0007376273,0.01137836],"study_design_scores_gemma":[0.00002724587,0.0003373107,0.6902868,0.00001377969,0.0002046089,0.0001463578,0.0002033677,0.303217,0.004467011,0.0004642432,0.0005884186,0.00004394312],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9983638,0.00007932754,0.0006843436,0.00005708514,0.000008694186,0.000006008427,0.0002379603,0.00001987604,0.0005428801],"genre_scores_gemma":[0.999793,0.00002221263,0.00005411237,0.000003258871,0.000001477915,0.000001963312,0.00007216534,0.000001545623,0.0000503497],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0126401,"threshold_uncertainty_score":0.02513301,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04847669901483471,"score_gpt":0.2988600557346939,"score_spread":0.2503833567198592,"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."}}