{"id":"W3148674120","doi":"10.1079/dmpd/20133421489","title":"<i>Erwinia amylovora</i> . [Distribution map].","year":2014,"lang":"en","type":"article","venue":"Distribution Maps of Plant Diseases","topic":"Plant Pathogenic Bacteria Studies","field":"Agricultural and Biological Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Geography; Montenegro; Mainland; Archaeology; Mainland China; Distribution (mathematics); Environmental protection; 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":[0.000261956,0.001992527,0.0009385389,0.00651527,0.0005644654,0.001593752,0.001093614,0.0007159404,0.1754112],"category_scores_gemma":[0.0009224052,0.0004949855,0.0005493388,0.01682242,0.0002789616,0.001068391,0.0008440876,0.0009976574,0.1222576],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007416515,"about_ca_system_score_gemma":0.001139965,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0405586,"about_ca_topic_score_gemma":0.02315053,"domain_scores_codex":[0.9997302,0.00002219201,0.0000305872,0.00007428363,0.00007415998,0.000068567],"domain_scores_gemma":[0.9991429,0.0001101772,0.0002303354,0.00004298116,0.0003362858,0.0001373433],"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":[0.0001448124,0.0000362692,0.002262837,0.002768189,0.00003000578,0.0001359753,0.0001005742,0.0002198734,0.001870939,0.0005590082,0.9542251,0.03764649],"study_design_scores_gemma":[0.00005466412,0.00001806259,0.01659613,0.0002507655,0.0000129024,0.000110231,0.0000624615,0.0001057031,0.0002155391,0.0001663368,0.9823933,0.00001402375],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0007326934,0.0008846365,0.0003687486,0.0003144479,0.0002076523,0.0001234763,0.9730985,0.0009840394,0.02328578],"genre_scores_gemma":[0.001820844,0.001015771,0.001512817,0.0001936861,0.0000626807,0.0001447556,0.9845969,0.0001978052,0.01045478],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1754112,"threshold_uncertainty_score":0.586809,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01119013921717697,"score_gpt":0.1941668619858527,"score_spread":0.1829767227686757,"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."}}