{"id":"W2583018470","doi":"10.1079/dmpd/20113314302","title":"<i>Pyrenochaeta lycopersici</i> . [Distribution map].","year":2011,"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":"Mainland; Geography; Distribution (mathematics); Mainland China; Archaeology; China","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":[0.0001427926,0.001229395,0.000613181,0.004321667,0.0004396526,0.0007508726,0.0008479018,0.0004058785,0.1185963],"category_scores_gemma":[0.0004656414,0.0003807686,0.0003155738,0.008723441,0.0002710667,0.0006000586,0.0004426303,0.0007298305,0.06439631],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006972931,"about_ca_system_score_gemma":0.0007044211,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02855789,"about_ca_topic_score_gemma":0.01789167,"domain_scores_codex":[0.9999157,0.000007980567,0.000007699431,0.00002384651,0.00002465609,0.00001998209],"domain_scores_gemma":[0.9996079,0.00004887735,0.0001207628,0.00001940026,0.000131838,0.00007134628],"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":[0.0004404641,0.00007011292,0.005136263,0.004642892,0.00005324594,0.0004900061,0.0003257774,0.000869826,0.009376131,0.001678648,0.8510099,0.1259068],"study_design_scores_gemma":[0.00007400556,0.00002841118,0.02819892,0.0002132791,0.0000132841,0.0001988404,0.00005861025,0.0002000372,0.0004026164,0.000281458,0.9703167,0.00001391759],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.005120677,0.002721949,0.002334243,0.0007752652,0.0004913891,0.0004747146,0.8960416,0.002301866,0.08973826],"genre_scores_gemma":[0.01120568,0.002061885,0.004272458,0.0001989435,0.0001023181,0.0003162649,0.9590474,0.0002183245,0.02257682],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1185963,"threshold_uncertainty_score":0.3967442,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01330178864444653,"score_gpt":0.2078647218392226,"score_spread":0.1945629331947761,"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."}}