{"id":"W4253417899","doi":"10.1079/dmpd/20203227938","title":"Little cherry virus 1. [Distribution map].","year":2021,"lang":"en","type":"article","venue":"Distribution Maps of Plant Diseases","topic":"Plant Virus Research Studies","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Geography; Distribution (mathematics); Mainland China; China; Czech; Mainland; Environmental protection; Forestry; Archaeology","routes":{"ca_aff":false,"ca_fund":false,"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":[0.0001557786,0.0008398684,0.0004500446,0.004656812,0.0005894692,0.0007130685,0.0007433032,0.0004411781,0.07925363],"category_scores_gemma":[0.0005715548,0.0004116983,0.0002491536,0.007317453,0.0002353045,0.0004924691,0.0004554713,0.0008849486,0.03365165],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006432398,"about_ca_system_score_gemma":0.001112316,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03879255,"about_ca_topic_score_gemma":0.03075426,"domain_scores_codex":[0.9999242,0.000008140616,0.000005738519,0.00001938966,0.0000244165,0.0000181775],"domain_scores_gemma":[0.9996253,0.0000653122,0.00008707683,0.00001129084,0.0001282702,0.00008266864],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.0004576871,0.0001590599,0.008386514,0.003516383,0.00004800306,0.0006819791,0.0006954505,0.001417013,0.01077506,0.002152166,0.8336741,0.1380366],"study_design_scores_gemma":[0.0001034872,0.00005158013,0.0598528,0.0002152776,0.00002106128,0.0003566737,0.0001405429,0.0005224511,0.0003470724,0.0004476492,0.9379196,0.00002186683],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.01162026,0.002710426,0.002437025,0.0009950307,0.0004854142,0.0005874162,0.9115052,0.001404731,0.06825455],"genre_scores_gemma":[0.0143319,0.001727837,0.006013676,0.0002092352,0.0001078425,0.0003568749,0.959546,0.0001450055,0.0175617],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.07925363,"threshold_uncertainty_score":0.2651298,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02728402030346523,"score_gpt":0.2504758846969246,"score_spread":0.2231918643934594,"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."}}