{"id":"W4251335605","doi":"10.1079/dmpd/20056500164","title":"<i>Sclerotinia squamosa</i> . [Distribution map].","year":2005,"lang":"en","type":"article","venue":"Distribution Maps of Plant Diseases","topic":"Plant Pathogens and Fungal Diseases","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Distribution (mathematics); Geography; Sclerotinia; Allium; Biology; Forestry; 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":[0.0001364884,0.001166182,0.0005756533,0.005042968,0.0004229654,0.0007233412,0.000858613,0.0003998924,0.1211386],"category_scores_gemma":[0.0005149342,0.0003833758,0.0003588916,0.009197299,0.000304552,0.0006034948,0.0004611627,0.0006961052,0.056943],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007479478,"about_ca_system_score_gemma":0.0007707753,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03742161,"about_ca_topic_score_gemma":0.03152104,"domain_scores_codex":[0.9999113,0.00001029134,0.000007711634,0.0000207507,0.00002979703,0.00002003502],"domain_scores_gemma":[0.9996586,0.00004615042,0.00009282505,0.00001311129,0.0001273124,0.00006206942],"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":[0.0002637035,0.0000485903,0.002452018,0.003758689,0.0000361759,0.0003442597,0.0002413797,0.0005973327,0.005419296,0.001102689,0.9113603,0.0743755],"study_design_scores_gemma":[0.00007316718,0.00003099107,0.0252,0.0002371598,0.00001426713,0.000217048,0.00007397474,0.0001829819,0.0003116839,0.0003319377,0.9733113,0.00001544744],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.004382823,0.003036681,0.001603196,0.001267781,0.0008171849,0.0004808756,0.8999797,0.001741017,0.08669084],"genre_scores_gemma":[0.01108794,0.003217221,0.005231325,0.0003719715,0.0001747885,0.000397491,0.9523574,0.0002165213,0.02694532],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.1211386,"threshold_uncertainty_score":0.4052489,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008132209820120025,"score_gpt":0.2160198148405007,"score_spread":0.2078876050203806,"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."}}