{"id":"W4245976784","doi":"10.1079/dmpd/20056500099","title":"<i>Phytophthora cryptogea</i> . [Distribution map].","year":2005,"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":"Distribution (mathematics); Lycopersicon; Irish; Geography; Biology; Botany","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":[0.0001617968,0.0009868094,0.0004998632,0.004064617,0.0004362121,0.0007120391,0.0008810851,0.0004048092,0.1261316],"category_scores_gemma":[0.0006042712,0.0003483545,0.0003080492,0.007551489,0.0002559779,0.0006002875,0.0004714138,0.000781903,0.05009912],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006527587,"about_ca_system_score_gemma":0.0008761053,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05155775,"about_ca_topic_score_gemma":0.04255833,"domain_scores_codex":[0.9999062,0.000009947656,0.000007513383,0.00002250178,0.00003046068,0.00002332478],"domain_scores_gemma":[0.9995983,0.0000567382,0.00009855754,0.0000181127,0.0001626083,0.00006559213],"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":[0.0001498675,0.00004284377,0.00199076,0.00192281,0.00002350245,0.0002008588,0.0001889453,0.0003964809,0.00199032,0.0007867496,0.9345241,0.05778268],"study_design_scores_gemma":[0.00007769684,0.00002467608,0.02943776,0.0002187369,0.00001458679,0.0001849506,0.0000823119,0.0002526825,0.0002545837,0.0003044569,0.9691318,0.00001585613],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.004244471,0.002132663,0.001810687,0.001178474,0.0007121643,0.0005343352,0.896756,0.001670277,0.09096101],"genre_scores_gemma":[0.01161297,0.002146528,0.006980691,0.0003701065,0.0001562804,0.0004481852,0.9489418,0.0002517035,0.0290918],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.1261316,"threshold_uncertainty_score":0.4219522,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01142511819176686,"score_gpt":0.205147999103058,"score_spread":0.1937228809112911,"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."}}