{"id":"W4243153164","doi":"10.1079/dmpd/20066500023","title":"<i>Peronospora hyoscyami f.sp. tabacina</i> . [Distribution map].","year":2006,"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":"Geography; Mainland China; Mainland; Distribution (mathematics); China; 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":[0.0001993148,0.001662054,0.0007279987,0.004928372,0.000602776,0.001087829,0.001199077,0.0004737683,0.1820529],"category_scores_gemma":[0.0005337999,0.0004355108,0.0004853231,0.01016929,0.00026542,0.0009679547,0.0007044537,0.0007516873,0.09850822],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007757243,"about_ca_system_score_gemma":0.000793497,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04283597,"about_ca_topic_score_gemma":0.02881207,"domain_scores_codex":[0.9998267,0.0000141079,0.00001518467,0.00004239495,0.00006087263,0.0000407972],"domain_scores_gemma":[0.9995713,0.00005012249,0.0001016179,0.00002762283,0.0001964015,0.00005296737],"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":[0.0001819498,0.00005499705,0.002646903,0.002828518,0.00003240481,0.0001887277,0.0001304204,0.0003410986,0.004018998,0.0005711085,0.8955709,0.09343387],"study_design_scores_gemma":[0.0000681505,0.00004068913,0.02825367,0.0002828766,0.00001713741,0.0002291136,0.00008116764,0.0001982297,0.0005210922,0.0002552995,0.970036,0.00001661043],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.001990504,0.001710192,0.0008884618,0.000474449,0.0003607931,0.0004552771,0.9366419,0.001390319,0.05608806],"genre_scores_gemma":[0.005809861,0.001936334,0.002737979,0.0002109159,0.0001018234,0.0003421529,0.9646337,0.0002114272,0.02401582],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.1820529,"threshold_uncertainty_score":0.6090277,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007984584263650406,"score_gpt":0.1845451125030765,"score_spread":0.1765605282394261,"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."}}