{"id":"W4256452566","doi":"10.1079/dmpd/20056500221","title":"<i>Plasmopara viticola</i> . [Distribution map].","year":2005,"lang":"en","type":"article","venue":"Distribution Maps of Plant Diseases","topic":"Horticultural and Viticultural Research","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Geography; Sierra leone; Tanzania; China; Distribution (mathematics); Socioeconomics; Environmental protection; 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":[0.0002321257,0.001779192,0.0007671289,0.00425219,0.0005015286,0.001528842,0.001331288,0.0006255648,0.2398117],"category_scores_gemma":[0.0007272079,0.0004674958,0.0004176411,0.01044494,0.0003147775,0.00107761,0.0007787425,0.001020747,0.1750788],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008710581,"about_ca_system_score_gemma":0.001138773,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0441765,"about_ca_topic_score_gemma":0.02566647,"domain_scores_codex":[0.999788,0.00002112347,0.00002094806,0.00005601075,0.00006220245,0.00005172757],"domain_scores_gemma":[0.9992816,0.00006626184,0.0001650731,0.0000326977,0.0003593115,0.00009506771],"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":[0.00004969203,0.000014404,0.0007171088,0.001344764,0.00001186125,0.0000708472,0.00004742447,0.0001181295,0.0007044103,0.0003037545,0.9678072,0.02881037],"study_design_scores_gemma":[0.0000365859,0.00001522269,0.008753062,0.00024496,0.000006736942,0.0001051256,0.00005299637,0.00007558071,0.0001472053,0.0001514208,0.9904012,0.000009805812],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0006915997,0.003225951,0.0005222318,0.0008954012,0.0006438234,0.0003589111,0.8954163,0.001452559,0.09679332],"genre_scores_gemma":[0.00483464,0.004708657,0.003028672,0.0007690917,0.000228789,0.0006225159,0.9201695,0.0004072503,0.06523086],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.2398117,"threshold_uncertainty_score":0.8022499,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01952455927257753,"score_gpt":0.245680754078783,"score_spread":0.2261561948062055,"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."}}