{"id":"W4240179968","doi":"10.1079/dmpd/20056500141","title":"<i>Pyrenopeziza medicaginis</i> . [Distribution map].","year":2005,"lang":"en","type":"article","venue":"Distribution Maps of Plant Diseases","topic":"Helminth infection and control","field":"Veterinary","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Distribution (mathematics); China; Geography; 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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001912725,0.0002349578,0.0003254256,0.00004874025,0.0001638576,0.00003809468,0.0002154261,0.0001241334,0.001402781],"category_scores_gemma":[0.0002487526,0.0002241009,0.0002128958,0.0001828741,0.000142385,0.0002467943,0.00006149484,0.0001544773,0.0006876654],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001383231,"about_ca_system_score_gemma":0.0001082534,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005146708,"about_ca_topic_score_gemma":0.00000969943,"domain_scores_codex":[0.9981832,0.0001248553,0.0005446996,0.0003301261,0.0004326128,0.0003845391],"domain_scores_gemma":[0.998838,0.0001219331,0.0002220562,0.0003466652,0.0001622696,0.0003090696],"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":[0.0005611519,0.0005201581,0.003006287,0.00007983334,0.00007583192,0.00004421061,0.00002776903,0.00001804673,0.0004366454,0.006783763,0.9816862,0.006760127],"study_design_scores_gemma":[0.001128434,0.0001861927,0.002715599,0.00006156531,0.0001136954,0.00005324739,0.00008131166,0.0005383808,0.0006603557,0.0002592387,0.9939494,0.0002526392],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.01190162,0.001048925,0.01098305,0.003035449,0.000736763,0.0005296359,0.9707574,0.0005071473,0.0005000365],"genre_scores_gemma":[0.728766,0.00005446086,0.00001881485,0.0003151032,0.0003719676,0.00005566307,0.2702428,0.00001375961,0.0001614536],"genre_candidate":"dataset","genre_consensus":null,"teacher_disagreement_score":0.7168644,"threshold_uncertainty_score":0.99951,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01899154517765564,"score_gpt":0.2705734760290706,"score_spread":0.2515819308514149,"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."}}