{"id":"W4247129852","doi":"10.1079/dmpd/20056500346","title":"<i>Cochliobolus heterostrophus</i> . [Distribution map].","year":2005,"lang":"en","type":"article","venue":"Distribution Maps of Plant Diseases","topic":"Agricultural pest management studies","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Geography; Sierra leone; China; Distribution (mathematics); Socioeconomics; Environmental protection; Archaeology","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":[0.0001572072,0.001471498,0.0004843883,0.004039203,0.0006141362,0.0007558179,0.0009042253,0.0003940984,0.1477124],"category_scores_gemma":[0.0004341527,0.0003586776,0.0002687969,0.008110001,0.0003314394,0.0007924357,0.0007470068,0.0007228391,0.0774129],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005982718,"about_ca_system_score_gemma":0.000805525,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05934333,"about_ca_topic_score_gemma":0.0520115,"domain_scores_codex":[0.9998367,0.0000162773,0.00001243476,0.00004387584,0.00004790255,0.0000428269],"domain_scores_gemma":[0.9996661,0.00003800692,0.00008827137,0.00001852156,0.0001370066,0.00005202521],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.0001834557,0.00004110807,0.004077273,0.001888781,0.00002669299,0.0002266536,0.0003270507,0.0003766096,0.002992017,0.001063821,0.8967757,0.09202077],"study_design_scores_gemma":[0.00004420228,0.00002560619,0.03296169,0.0001964395,0.000009843917,0.0001869445,0.0001487095,0.0001657907,0.0002564919,0.0002251211,0.9657633,0.00001593729],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.004652321,0.002879809,0.001248901,0.0006686625,0.0005534422,0.0006789825,0.7955076,0.001331564,0.1924786],"genre_scores_gemma":[0.02297752,0.002753082,0.006011134,0.0004702298,0.0001438897,0.000832697,0.9059429,0.00027596,0.06059268],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.1477124,"threshold_uncertainty_score":0.4941471,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0110998891388195,"score_gpt":0.2000291186112922,"score_spread":0.1889292294724727,"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."}}