{"id":"W4234430951","doi":"10.1079/dmpd/20056500108","title":"<i>Septoria lycopersici</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":"Geography; 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":[0.0001560309,0.001619922,0.000510016,0.003961572,0.0004478605,0.0008728573,0.000928215,0.0004047916,0.1868916],"category_scores_gemma":[0.0003910316,0.0003639978,0.0003338337,0.007137018,0.0002427019,0.0008207987,0.000654399,0.0007217358,0.1303914],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005507581,"about_ca_system_score_gemma":0.000715376,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03062984,"about_ca_topic_score_gemma":0.02203904,"domain_scores_codex":[0.9998654,0.00001236976,0.00001083531,0.0000418598,0.00003400874,0.0000354888],"domain_scores_gemma":[0.999621,0.00003515739,0.000109525,0.00002114972,0.0001511014,0.00006197146],"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":[0.0001493773,0.00003048388,0.002384935,0.00147486,0.00001805197,0.0001680399,0.00009089487,0.0002922315,0.002742452,0.0005308597,0.9282085,0.06390933],"study_design_scores_gemma":[0.00004323078,0.00002476002,0.0216446,0.0002194123,0.000009003904,0.0001779158,0.00007040676,0.0001138457,0.00029561,0.0002279996,0.9771621,0.00001119262],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.001861144,0.001955992,0.000742333,0.0004906598,0.0003165874,0.0003504821,0.8968565,0.001300331,0.09612595],"genre_scores_gemma":[0.008806455,0.00210934,0.00264846,0.0003287355,0.00009591376,0.0003743016,0.9427058,0.0002354112,0.04269559],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1868916,"threshold_uncertainty_score":0.6252146,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006910928466495363,"score_gpt":0.2137080098545751,"score_spread":0.2067970813880798,"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."}}