{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00005634994,0.0001345138,0.0001794508,0.000006091117,0.000183247,0.00004745604,0.0001262018,0.00004051331,0.0001928457],"category_scores_gemma":[0.00001776639,0.00006264536,0.0001135151,0.0001727894,0.00006106299,0.000124802,0.000059515,0.00003455974,0.00004796325],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002167671,"about_ca_system_score_gemma":0.000003595712,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000672347,"about_ca_topic_score_gemma":0.00003332464,"domain_scores_codex":[0.9990528,0.00003775537,0.0002741806,0.0002039594,0.0002301492,0.0002011046],"domain_scores_gemma":[0.9995937,0.00005830648,0.0001587337,0.00005249064,0.00008688224,0.00004987037],"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":[0.00009166318,0.0003315945,0.0464053,0.00005268531,0.0000264935,0.000007703601,0.000003944727,0.000009748722,0.007313629,0.008309589,0.9360576,0.001390038],"study_design_scores_gemma":[0.000209953,0.00005101299,0.1353214,0.00003261769,0.00005046171,0.000001612071,0.0000843487,0.00003322675,0.001770136,0.001606088,0.8606404,0.0001987228],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.2853151,0.0005011462,0.0003811709,0.001310913,0.000234792,0.0003156646,0.7116436,0.0001907692,0.0001068314],"genre_scores_gemma":[0.5681508,0.00003532185,0.000002212757,0.00004146281,0.0001309839,0.00001565097,0.4314831,5.27932e-7,0.0001398651],"genre_candidate":"dataset","genre_consensus":null,"teacher_disagreement_score":0.2828358,"threshold_uncertainty_score":0.2554604,"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."}}