{"id":"W2545835267","doi":"10.1079/dmpd/20073215026","title":"<i>Peronospora sparsa</i> . [Distribution map].","year":2007,"lang":"en","type":"article","venue":"Distribution Maps of Plant Diseases","topic":"Plant Pathogens and Resistance","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Montenegro; Geography; Rubus; Distribution (mathematics); China; Environmental protection; Archaeology; Ecology; Biology","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002152889,0.0001550672,0.000205153,0.000006824082,0.0001710056,0.00002526965,0.0001914835,0.00009166408,0.0001292962],"category_scores_gemma":[0.00005553137,0.00006832517,0.0001425308,0.0002261135,0.00009074641,0.00009660941,0.00003615498,0.00006987839,0.00003560563],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004356106,"about_ca_system_score_gemma":0.00001281929,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006322041,"about_ca_topic_score_gemma":0.0001313854,"domain_scores_codex":[0.9987509,0.0000318442,0.0003255293,0.0002561496,0.0002842853,0.0003512888],"domain_scores_gemma":[0.9993228,0.0001483611,0.0001743495,0.00006987057,0.00009286096,0.0001917683],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0007292252,0.0006830716,0.07502685,0.0000782123,0.00004487788,0.0001367771,0.000008061639,0.00001167172,0.1376866,0.00606559,0.7690933,0.01043576],"study_design_scores_gemma":[0.0001579211,0.00008068616,0.2094415,0.00004930326,0.00003694848,0.000009956726,0.0001330774,0.00001248928,0.006167095,0.0003235377,0.7833791,0.0002083519],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.3113248,0.0008533431,0.0003219096,0.000197638,0.0001787987,0.0001587882,0.6868517,0.00007685459,0.00003612633],"genre_scores_gemma":[0.6007749,0.00007577053,0.00001089004,0.00003707374,0.0001426015,0.000003456711,0.398896,6.00322e-7,0.00005863261],"genre_candidate":"dataset","genre_consensus":null,"teacher_disagreement_score":0.2894501,"threshold_uncertainty_score":0.278622,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01198435688782561,"score_gpt":0.2020207435328366,"score_spread":0.1900363866450109,"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."}}