{"id":"W4230478001","doi":"10.1079/dmpd/20056500683","title":"<i>Pyrenophora semeniperda</i> . [Distribution map].","year":2005,"lang":"en","type":"article","venue":"Distribution Maps of Plant Diseases","topic":"Plant Disease Resistance and Genetics","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Avena; Distribution (mathematics); Poaceae; Biology; Pyrenophora; Stipa; Geography; Botany; Agronomy; Cultivar","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":[0.0001388847,0.0008361409,0.0004273714,0.002537697,0.0003806912,0.0004534262,0.0007107645,0.0002269592,0.1369649],"category_scores_gemma":[0.0003661982,0.000295174,0.0001979179,0.004694113,0.0002508376,0.0004813238,0.0004611058,0.000469968,0.04171285],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004797227,"about_ca_system_score_gemma":0.0005638301,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03716852,"about_ca_topic_score_gemma":0.03466054,"domain_scores_codex":[0.9999295,0.00000828473,0.000006134482,0.00001829278,0.00002292943,0.00001491041],"domain_scores_gemma":[0.9998084,0.0000269772,0.00005762018,0.000009651759,0.00007015047,0.00002730153],"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":[0.0001592591,0.00003374778,0.004016567,0.001943436,0.00002736152,0.0002745474,0.0002861864,0.000401482,0.002168959,0.001066777,0.8859252,0.1036965],"study_design_scores_gemma":[0.00005091418,0.0000242652,0.0352144,0.0001486721,0.00001046511,0.0002262914,0.0001033345,0.0001636382,0.0002265494,0.0002252489,0.963594,0.00001222103],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.009153301,0.003579449,0.002654856,0.001346284,0.0008116606,0.000920778,0.7718203,0.001939032,0.2077743],"genre_scores_gemma":[0.03266316,0.004364375,0.008244604,0.0005676058,0.0002192519,0.0009853967,0.8800462,0.0002233979,0.07268593],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.1369649,"threshold_uncertainty_score":0.4581931,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01019107260219514,"score_gpt":0.2035516502805025,"score_spread":0.1933605776783073,"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."}}