{"id":"W4248594243","doi":"10.1079/dmpd/20066500020","title":"<i>Clavibacter michiganensis subsp. sepedonicus</i> . [Distribution map].","year":2006,"lang":"en","type":"article","venue":"Distribution Maps of Plant Diseases","topic":"Plant Pathogenic Bacteria Studies","field":"Agricultural and Biological Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Geography; China; Nova scotia; Distribution (mathematics); Arid; Czech; Clavibacter michiganensis; Environmental protection; Socioeconomics; Archaeology; Biology; Ecology","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":[0.0001047884,0.0002522803,0.0003370195,0.000009129479,0.0002258519,0.00004803932,0.0002304998,0.00011385,0.0001599086],"category_scores_gemma":[0.00005531817,0.0001191724,0.0002230427,0.0002369765,0.0001259384,0.000203925,0.00008654324,0.00008604695,0.00006271925],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005600368,"about_ca_system_score_gemma":0.00001735227,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003274516,"about_ca_topic_score_gemma":0.0003066733,"domain_scores_codex":[0.9983814,0.00008708947,0.0004335009,0.0003692612,0.0003095938,0.000419145],"domain_scores_gemma":[0.9992177,0.0001873719,0.0002404561,0.00009867491,0.0001396915,0.0001160925],"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":[0.0002189287,0.0004334127,0.04025145,0.00004371956,0.00004814491,0.00003114482,0.000004757573,0.000003697905,0.1702286,0.002144031,0.7858919,0.0007002271],"study_design_scores_gemma":[0.0002564098,0.00007508567,0.258395,0.00005065584,0.0001119106,0.00002038569,0.00005808722,0.0000107398,0.007253785,0.0006341275,0.7328235,0.0003103087],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.4169542,0.0005171486,0.00001432631,0.0006191006,0.0001574288,0.0001638162,0.5814594,0.00009795799,0.0000165766],"genre_scores_gemma":[0.4822838,0.00006645766,0.000007416444,0.00004968988,0.000213681,0.00001794797,0.5172966,0.000001075141,0.00006331396],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.2181436,"threshold_uncertainty_score":0.4859709,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008279808002179508,"score_gpt":0.1861397530325632,"score_spread":0.1778599450303837,"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."}}