{"id":"W4230743751","doi":"10.1079/dmpd/20143156815","title":"<i>Alternaria dianthicola</i> . [Distribution map].","year":2014,"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; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001332751,0.001313697,0.0006329037,0.004322549,0.0004709929,0.0007264262,0.0008619538,0.0004457786,0.1560688],"category_scores_gemma":[0.0004495431,0.0003252224,0.0003605679,0.008618371,0.0002519764,0.0005951475,0.0005432783,0.0007427375,0.07274061],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006136017,"about_ca_system_score_gemma":0.0007134608,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03421174,"about_ca_topic_score_gemma":0.02697157,"domain_scores_codex":[0.9998852,0.00001057902,0.00000806709,0.00002915339,0.00003543607,0.00003156939],"domain_scores_gemma":[0.9996248,0.00004323806,0.00009660323,0.00001525827,0.0001541941,0.00006573528],"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":[0.0002436784,0.00005074717,0.003148686,0.003272026,0.00003795941,0.0003095962,0.0001794003,0.0005543887,0.004355512,0.001024103,0.9177024,0.06912149],"study_design_scores_gemma":[0.00007062541,0.0000256655,0.03060954,0.0002189101,0.00001626414,0.0002105604,0.00007198397,0.000211959,0.0003445285,0.0002981127,0.9679061,0.00001569891],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.002937918,0.001466548,0.001004282,0.0006105592,0.0004539485,0.0003624541,0.9154062,0.001382026,0.07637607],"genre_scores_gemma":[0.009144442,0.001458467,0.003268465,0.000258219,0.0001036506,0.000276698,0.9632062,0.0001840382,0.02209994],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1560688,"threshold_uncertainty_score":0.5221021,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006991578090541929,"score_gpt":0.2129318422809342,"score_spread":0.2059402641903923,"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."}}