{"id":"W2587777584","doi":"10.1079/dmpd/20066500823","title":"<i>Heterodera avenae</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; Heterodera avenae; China; Uttar pradesh; Distribution (mathematics); Triticale; Secale; Biology; Socioeconomics; Agronomy; Archaeology; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001800857,0.001251576,0.0005127823,0.004225424,0.0004501008,0.0006618529,0.0007960997,0.0003473167,0.1132591],"category_scores_gemma":[0.0005049594,0.0003492073,0.0003143711,0.007125469,0.0002472751,0.0005825862,0.0005245611,0.0006214419,0.05017781],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005566415,"about_ca_system_score_gemma":0.0008830606,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04641904,"about_ca_topic_score_gemma":0.03932041,"domain_scores_codex":[0.9998723,0.00001284076,0.00001145982,0.00003548725,0.00003929235,0.00002850222],"domain_scores_gemma":[0.9995602,0.00005323528,0.0001067062,0.00001805813,0.0001953795,0.00006637164],"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":[0.0001411941,0.00003668086,0.003303556,0.002214874,0.00003057907,0.0001852979,0.0001953033,0.0004428056,0.002605676,0.0007053463,0.9296466,0.06049224],"study_design_scores_gemma":[0.00005767303,0.00002735468,0.02993452,0.0002031755,0.00001369443,0.0001911046,0.00009610508,0.0002176234,0.0002360656,0.0002010565,0.9688076,0.00001397653],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.003227438,0.001692967,0.001177816,0.0005647738,0.0004603069,0.0004511598,0.9233187,0.001332062,0.06777481],"genre_scores_gemma":[0.009555581,0.001750764,0.005369025,0.0002914091,0.0001188494,0.0004683977,0.9508684,0.0002167656,0.03136069],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.1132591,"threshold_uncertainty_score":0.3788896,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01023611141385129,"score_gpt":0.1922382483310735,"score_spread":0.1820021369172222,"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."}}