{"id":"W4234384357","doi":"10.1079/dmpd/20046500076","title":"<i>Peronospora destructor</i> . [Distribution map].","year":2008,"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":"Geography; Tanzania; Distribution (mathematics); China; Environmental protection; Socioeconomics; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00005798916,0.0001567661,0.0002181049,0.000005304026,0.000276966,0.00001530525,0.0001931103,0.00008098222,0.000141657],"category_scores_gemma":[0.00004901211,0.0000691833,0.0001455033,0.0001951947,0.0001450444,0.0001125023,0.00003479767,0.00006452607,0.00003262991],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003649873,"about_ca_system_score_gemma":0.00002242792,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006576205,"about_ca_topic_score_gemma":0.00003074311,"domain_scores_codex":[0.9988824,0.00004723819,0.0002726545,0.000254865,0.0002703153,0.0002725354],"domain_scores_gemma":[0.9994252,0.00009004025,0.0001559201,0.00007168566,0.00009115573,0.0001659473],"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":[0.0003263429,0.000429113,0.1208142,0.0000534769,0.00003464365,0.0001513534,0.000009973573,0.00001382083,0.07480562,0.002166768,0.7994244,0.001770303],"study_design_scores_gemma":[0.000204546,0.00009719646,0.3383119,0.00004583886,0.00003512274,0.00005634337,0.00008008035,0.0000241786,0.003532253,0.0002947224,0.6570581,0.0002597988],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.4777378,0.0005444775,0.0000336658,0.0001113229,0.0001021394,0.0001002377,0.5213035,0.00005610983,0.00001074955],"genre_scores_gemma":[0.6221589,0.0002081451,0.00001101065,0.00002357088,0.0001057662,0.000007479057,0.3774254,5.944437e-7,0.0000591366],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.2174977,"threshold_uncertainty_score":0.2821213,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01400305394301034,"score_gpt":0.1908531036653859,"score_spread":0.1768500497223756,"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."}}