{"id":"W4247069481","doi":"10.1079/dmpd/20066500006","title":"<i>Cronartium ribicola</i> . [Distribution map].","year":2006,"lang":"en","type":"article","venue":"Distribution Maps of Plant Diseases","topic":"Botany and Plant Ecology Studies","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Geography; Mainland China; Archaeology; Forestry; Pinus <genus>; Distribution (mathematics); Mainland; China; Biology; 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":[0.000232969,0.001377994,0.0007117355,0.004491799,0.0006618485,0.0009732489,0.001214186,0.0004835466,0.1699917],"category_scores_gemma":[0.0006958065,0.0003406444,0.0003163301,0.008964219,0.0003136751,0.0008551409,0.0007333792,0.0007881123,0.09987397],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007460041,"about_ca_system_score_gemma":0.001062248,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0672786,"about_ca_topic_score_gemma":0.05306467,"domain_scores_codex":[0.9997829,0.00002108653,0.00001943839,0.0000610379,0.00006898142,0.00004654438],"domain_scores_gemma":[0.9992598,0.00006006737,0.0001903178,0.00004246889,0.0003508534,0.00009646587],"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":[0.0001448166,0.00003991296,0.002315398,0.002098095,0.0000173748,0.0001724936,0.0001398446,0.0002856467,0.002529361,0.0007302269,0.9162607,0.07526623],"study_design_scores_gemma":[0.00003416448,0.00001389141,0.01028718,0.0001588668,0.000007697398,0.0001339242,0.00005420698,0.00008344509,0.0002065321,0.0001226216,0.9888886,0.000008844068],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.002215491,0.00427696,0.001364855,0.0008608606,0.0007523942,0.0006070002,0.8473644,0.001984583,0.1405734],"genre_scores_gemma":[0.01246063,0.003163516,0.006593116,0.000677286,0.0002344485,0.0005194668,0.9262451,0.0004782586,0.04962823],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1699917,"threshold_uncertainty_score":0.5686788,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009230879140850157,"score_gpt":0.1886630676337016,"score_spread":0.1794321884928514,"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."}}