{"id":"W2544353113","doi":"10.1079/dmpd/20066500888","title":"<i>Pratylenchus penetrans</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":"Geography; Peninsula; Archaeology; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001668363,0.001533535,0.0006051293,0.004846249,0.0005882577,0.0007615911,0.001155858,0.0004960296,0.209991],"category_scores_gemma":[0.0006202607,0.0004583149,0.0003336078,0.008855341,0.0003763813,0.001073251,0.0008800334,0.0009940919,0.1170994],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007009406,"about_ca_system_score_gemma":0.0007834671,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04037845,"about_ca_topic_score_gemma":0.03237194,"domain_scores_codex":[0.9998251,0.00001664831,0.00001351529,0.00005185589,0.00005231615,0.00004068899],"domain_scores_gemma":[0.9996025,0.00006044016,0.00009689401,0.00002107123,0.0001706771,0.00004845927],"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":[0.0001129779,0.00003308769,0.002386809,0.001384784,0.00002090238,0.0001759784,0.0001467683,0.0003694641,0.001405,0.0005543421,0.9437681,0.04964175],"study_design_scores_gemma":[0.00008331816,0.00003127472,0.02465441,0.000238933,0.00001350235,0.000250535,0.0001526146,0.0002707669,0.0002749058,0.000330748,0.9736796,0.00001932503],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.002592019,0.001393745,0.00116113,0.0005725945,0.0004814892,0.0005959364,0.888437,0.001193026,0.103573],"genre_scores_gemma":[0.009915636,0.001578938,0.004377458,0.0003234166,0.0001239869,0.0007919405,0.947879,0.0002878066,0.0347218],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.209991,"threshold_uncertainty_score":0.70249,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00953346203315959,"score_gpt":0.1907798474304305,"score_spread":0.1812463853972709,"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."}}