{"id":"W4235005213","doi":"10.1079/dmpd/20046500162","title":"<i>Botrytis fabae</i> . [Distribution map].","year":2008,"lang":"en","type":"article","venue":"Distribution Maps of Plant Diseases","topic":"Genetic and Environmental Crop Studies","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Geography; Distribution (mathematics); China; 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":[0.0001299625,0.001072635,0.0005083338,0.003146945,0.0003522229,0.0005622507,0.0008468876,0.0003225862,0.1154932],"category_scores_gemma":[0.0004783681,0.0002999482,0.0003096065,0.006868226,0.0002586138,0.000471966,0.0004195925,0.0006013623,0.04590474],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008130791,"about_ca_system_score_gemma":0.0008823802,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.07506699,"about_ca_topic_score_gemma":0.05401127,"domain_scores_codex":[0.9998977,0.0000118335,0.000007876264,0.0000263664,0.00002606464,0.00003004921],"domain_scores_gemma":[0.9997264,0.00003793237,0.00007214655,0.00001132485,0.0001148872,0.00003739211],"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":[0.0001752314,0.00003781201,0.002754181,0.002146245,0.00002906861,0.0002741325,0.0002085253,0.000549169,0.003009684,0.0007706081,0.9116996,0.07834576],"study_design_scores_gemma":[0.00008889009,0.00003003778,0.04166643,0.0002465108,0.00001349777,0.0002332976,0.0001062108,0.0002359614,0.0002315198,0.000242364,0.9568921,0.00001327838],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.005658619,0.003160672,0.001584035,0.001172255,0.0006356925,0.0005822621,0.8887922,0.00159693,0.0968174],"genre_scores_gemma":[0.01833752,0.003097665,0.006755485,0.0003796582,0.0001106953,0.0004946594,0.9292542,0.0002045479,0.0413656],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.1154932,"threshold_uncertainty_score":0.3863633,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01470691066527638,"score_gpt":0.1848416272123156,"score_spread":0.1701347165470392,"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."}}