{"id":"W4238924717","doi":"10.1079/dmpd/20056500609","title":"<i>Meloderma desmazierii</i> . [Distribution map].","year":2005,"lang":"en","type":"article","venue":"Distribution Maps of Plant Diseases","topic":"Forest Insect Ecology and Management","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Geography; Distribution (mathematics); China; Sri lanka; Nova scotia; Irish; 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":[0.0001419894,0.001211918,0.0005293947,0.003935407,0.0003695387,0.0006187193,0.0007812097,0.0003104675,0.1212771],"category_scores_gemma":[0.0004595687,0.0002911832,0.0002601331,0.006616715,0.0002063267,0.0006833142,0.0005055038,0.0004962346,0.04649533],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005544656,"about_ca_system_score_gemma":0.0006006495,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03207364,"about_ca_topic_score_gemma":0.02718917,"domain_scores_codex":[0.9998966,0.00001154385,0.000009643032,0.00002130243,0.00003756613,0.00002334741],"domain_scores_gemma":[0.999691,0.00004700822,0.00008592335,0.00001362265,0.0001172468,0.00004513783],"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":[0.0002423892,0.00004845339,0.002883006,0.002464111,0.00002791726,0.0003410491,0.000178594,0.0005523884,0.003222182,0.0008478392,0.9044504,0.08474179],"study_design_scores_gemma":[0.00006315215,0.00003010826,0.02221794,0.0001932817,0.00001261179,0.0002303494,0.00007931962,0.000239961,0.0004623343,0.000273596,0.9761825,0.00001473891],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.003404964,0.002308509,0.001602335,0.001175097,0.0004997867,0.0004810833,0.8928643,0.001481437,0.09618257],"genre_scores_gemma":[0.01378604,0.002672706,0.005994506,0.0004398242,0.0001360347,0.0003549878,0.9389626,0.0002373078,0.03741599],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.1212771,"threshold_uncertainty_score":0.4057124,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006496216870711748,"score_gpt":0.2029098119358097,"score_spread":0.1964135950650979,"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."}}