{"id":"W4387694431","doi":"10.1007/s12355-023-01325-5","title":"Sugarcane Insect Pests in China: Species, Distribution and Population Dynamics","year":2023,"lang":"en","type":"article","venue":"Sugar Tech","topic":"Sugarcane Cultivation and Processing","field":"Agricultural and Biological Sciences","cited_by":13,"is_retracted":false,"has_abstract":false,"ca_institutions":"Ministry of Agriculture","funders":"Agriculture Research System of China; Natural Science Foundation of Guangxi Province; National Natural Science Foundation of China","keywords":"PEST analysis; Agriculture; Subtropics; Integrated pest management; Population; Biology; Agronomy; Agroforestry; Crop; Infestation; China; Distribution (mathematics); Tropical agriculture; Insect pest; Geography; Ecology; Botany","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":[0.0003571247,0.0004146401,0.0002695169,0.003033396,0.0005905271,0.0004897009,0.000338764,0.0002077961,0.001126673],"category_scores_gemma":[0.0002283732,0.0001725808,0.0002858478,0.003604284,0.0004219018,0.0004930299,0.00036649,0.0001366153,0.0001027024],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001565968,"about_ca_system_score_gemma":0.001504884,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1665213,"about_ca_topic_score_gemma":0.2491788,"domain_scores_codex":[0.9997795,0.00001634241,0.00001425308,0.00006026874,0.00005667294,0.00007286642],"domain_scores_gemma":[0.9996557,0.00003576623,0.00008944819,0.00001462385,0.0001157775,0.000088547],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001226911,0.00006495488,0.9672042,0.00008108946,0.0001495979,0.0001358164,0.0008910981,0.0008712854,0.003896468,0.0002511863,0.0004798084,0.02585184],"study_design_scores_gemma":[0.000003539785,0.00002328402,0.998414,0.00000341864,0.00002326014,0.00003756692,0.0003315862,0.0006226803,0.00008022465,0.00002720561,0.0004273298,0.000005923487],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9982978,0.0006318889,0.00007421201,0.00002352515,0.000002133714,0.000007510631,0.0003323275,0.000006559573,0.0006240645],"genre_scores_gemma":[0.9983361,0.000442325,0.00008312946,0.00001502193,0.000003643971,0.000005064845,0.0004951434,0.000001299204,0.0006182555],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1665213,"threshold_uncertainty_score":0.331104,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02347247345881238,"score_gpt":0.2321919350200427,"score_spread":0.2087194615612303,"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."}}