{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001948653,0.00008009969,0.00009239057,0.00002288964,0.0001410668,0.00005107724,0.00007073121,0.00007259406,0.00009162466],"category_scores_gemma":[0.0001055112,0.00003665863,0.00001896118,0.0008403564,0.00002545652,0.00009407037,0.00004004296,0.00009548359,0.00001312627],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006952912,"about_ca_system_score_gemma":0.000004629297,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001010098,"about_ca_topic_score_gemma":0.005948945,"domain_scores_codex":[0.9993457,0.00003291697,0.0001353738,0.0001838524,0.0001257972,0.0001764198],"domain_scores_gemma":[0.9998157,0.00005487529,0.00004053059,0.00002839366,0.00002179218,0.00003872723],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001736619,0.00002528309,0.7855162,0.00001565138,0.000002283374,0.000006948046,0.0001188177,0.000008519317,0.01240651,0.001731439,0.0003775077,0.1997734],"study_design_scores_gemma":[0.00008796804,0.00002987026,0.9944908,0.00001985896,0.000001396584,0.000003662659,0.0002239408,0.001670226,0.0002225531,0.001214168,0.001938027,0.00009754226],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9976573,0.00003115026,0.000006873046,0.001447175,0.00006123742,0.00009935459,0.00005499579,0.0001458276,0.000496088],"genre_scores_gemma":[0.9975439,0.00004867806,0.00001737778,0.00003253761,0.00007118174,0.000006829575,0.001868429,8.571477e-7,0.0004101605],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2089746,"threshold_uncertainty_score":0.3319651,"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."}}