{"id":"W4251327092","doi":"10.1079/dmpd/20056500344","title":"<i>Cryptodiaporthe populea</i> . [Distribution map].","year":2005,"lang":"en","type":"article","venue":"Distribution Maps of Plant Diseases","topic":"Botanical Studies and Applications","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Distribution (mathematics); Geography; Environmental protection","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00006639785,0.0001270226,0.0001736619,0.000001031477,0.0002531305,0.00002420409,0.0001807081,0.00006008535,0.0003051769],"category_scores_gemma":[0.00005035979,0.0000550089,0.0001472097,0.0001836031,0.00008234836,0.00008225522,0.00005868081,0.00006164051,0.00008708628],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004211675,"about_ca_system_score_gemma":0.00000415087,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001197857,"about_ca_topic_score_gemma":0.0001949219,"domain_scores_codex":[0.9990152,0.00002752083,0.0002836123,0.0002240759,0.0002096396,0.000239998],"domain_scores_gemma":[0.9994751,0.00009837167,0.0001335273,0.00007027961,0.00008172154,0.000141047],"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":[0.00007823337,0.0006211001,0.0168488,0.0000161309,0.00003149118,0.000002110361,0.000005423565,0.00001430629,0.00225316,0.009655767,0.8874395,0.08303401],"study_design_scores_gemma":[0.0001089839,0.00004692516,0.03650696,0.00001334677,0.00003402341,0.0000019029,0.00006876095,0.00003093029,0.0005158714,0.0004836588,0.9620535,0.0001350953],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.1739649,0.001061991,0.0001488624,0.006068394,0.00007793561,0.0002999029,0.8182122,0.0001290544,0.00003674423],"genre_scores_gemma":[0.718025,0.0001616095,0.0000162143,0.0001333932,0.0002740471,0.00003641205,0.2813232,6.54702e-7,0.0000294758],"genre_candidate":"dataset","genre_consensus":null,"teacher_disagreement_score":0.5440601,"threshold_uncertainty_score":0.3341473,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01334929969013871,"score_gpt":0.2135966778016939,"score_spread":0.2002473781115552,"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."}}