{"id":"W4231599941","doi":"10.1079/dmpd/20056500129","title":"<i>Pseudopeziza medicaginis</i> . [Distribution map].","year":2005,"lang":"en","type":"article","venue":"Distribution Maps of Plant Diseases","topic":"Banana Cultivation and Research","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Geography; Tanzania; China; Distribution (mathematics); Environmental protection; Socioeconomics; 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":[0.0001076164,0.001262388,0.0004549935,0.004502629,0.0006180153,0.00078797,0.0006483263,0.0003054581,0.1345086],"category_scores_gemma":[0.0002156019,0.000285331,0.0002846332,0.007928563,0.0003145936,0.0008278086,0.0005707597,0.0006379368,0.05031914],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005678786,"about_ca_system_score_gemma":0.0006395348,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02107098,"about_ca_topic_score_gemma":0.02187265,"domain_scores_codex":[0.9999005,0.00000874334,0.000008237715,0.00002748562,0.00003078657,0.00002430504],"domain_scores_gemma":[0.9998166,0.00002391271,0.00005937437,0.00001050151,0.00006487045,0.00002486875],"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":[0.0005031217,0.00007268839,0.005600219,0.003760604,0.00004347671,0.0006170498,0.0003766709,0.000476851,0.009089775,0.001985907,0.6951292,0.2823443],"study_design_scores_gemma":[0.00005140112,0.00003589338,0.02194537,0.0001884185,0.00001508,0.0003851318,0.0001259785,0.0001061945,0.0005167107,0.0003328997,0.976283,0.00001399153],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.009375744,0.007005309,0.001697325,0.001066765,0.0007033917,0.0007739995,0.6956165,0.002562129,0.2811989],"genre_scores_gemma":[0.06071166,0.008033977,0.008735666,0.0007417671,0.0002909802,0.001084442,0.8148006,0.0004503218,0.1051506],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.1345086,"threshold_uncertainty_score":0.4499762,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01825282202438114,"score_gpt":0.239280744595593,"score_spread":0.2210279225712119,"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."}}