{"id":"W2619051152","doi":"10.1079/dmpd/20066500846","title":"<i>Xiphinema diversicaudatum</i> . [Distribution map].","year":2006,"lang":"en","type":"article","venue":"Distribution Maps of Plant Diseases","topic":"Nematode management and characterization studies","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Rubus; Geography; Distribution (mathematics); Biology; Czech; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00005253605,0.0001328652,0.0001780184,0.000006712804,0.0002053181,0.00004081813,0.0001475438,0.00003992498,0.0002216896],"category_scores_gemma":[0.00002218094,0.00006221788,0.0001134988,0.0002172679,0.00007160826,0.0001410987,0.00008888776,0.00003504652,0.00004531953],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002216999,"about_ca_system_score_gemma":0.000003707665,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000960164,"about_ca_topic_score_gemma":0.00003194733,"domain_scores_codex":[0.9990827,0.00003070785,0.0002422782,0.0002029568,0.0002467998,0.0001945035],"domain_scores_gemma":[0.9995713,0.00006567655,0.000163259,0.0000523279,0.00009414211,0.00005330698],"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":[0.00006773036,0.0002375787,0.03856264,0.00003460941,0.00002096212,0.000006754526,0.000002722695,0.000004864335,0.00387331,0.008662458,0.9477806,0.0007457657],"study_design_scores_gemma":[0.0002051345,0.00004382793,0.1444392,0.00002717537,0.00006513826,0.000001068471,0.0001187833,0.00002244889,0.001104991,0.00128675,0.852505,0.0001804742],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.1810711,0.000418352,0.0002759501,0.001586537,0.0002291259,0.0002982501,0.8157978,0.0001864725,0.000136405],"genre_scores_gemma":[0.5108044,0.00003985207,0.000002279276,0.00003753426,0.0001372709,0.00001049954,0.4887785,4.809743e-7,0.0001891718],"genre_candidate":"dataset","genre_consensus":null,"teacher_disagreement_score":0.3297333,"threshold_uncertainty_score":0.2537171,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009730297281382173,"score_gpt":0.1881797060840764,"score_spread":0.1784494088026943,"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."}}