{"id":"W2729487039","doi":"10.3897/rio.3.e14675","title":"Data Management Plan: Brazil's Virtual Herbarium","year":2017,"lang":"en","type":"article","venue":"Research Ideas and Outcomes","topic":"Plant Pathogens and Fungal Diseases","field":"Biochemistry, Genetics and Molecular Biology","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Herbarium; Plan (archaeology); Identification (biology); Geography; Flora (microbiology); Library science; Environmental resource management; World Wide Web; Ecology; Biology; Archaeology; Computer science","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":[0.0005626797,0.0001108849,0.00012712,0.00004569533,0.00056179,0.0002543166,0.0008449444,0.0000681716,0.00002223977],"category_scores_gemma":[0.000267312,0.0000872056,0.00003777074,0.00002082852,0.0001817641,0.00001392285,0.001798031,0.0001012618,0.00003030024],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000005085545,"about_ca_system_score_gemma":0.00003647736,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005358168,"about_ca_topic_score_gemma":0.00009015809,"domain_scores_codex":[0.998752,0.00006097767,0.0001088018,0.0004349269,0.0002889826,0.0003543412],"domain_scores_gemma":[0.9983562,0.00002825432,0.00003502472,0.001345893,0.00004831122,0.0001863629],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003875584,0.0002490445,0.7559361,0.0001669334,0.0005310132,0.0004868566,0.00002089501,0.000004285294,0.05028151,0.01459577,0.1346579,0.04268209],"study_design_scores_gemma":[0.0005600612,0.0001216216,0.7753678,0.00001965705,0.00001763283,0.000009823447,0.00008749418,0.00007446384,0.0002947889,0.0003378771,0.22294,0.0001687764],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9681932,0.002667034,0.0001494535,0.001960004,0.0002434623,0.000423414,0.00346263,0.00002033731,0.0228805],"genre_scores_gemma":[0.9898673,0.001750602,0.0001474717,0.0001966168,0.0001681845,0.0000120599,0.0005088594,0.00001398745,0.00733488],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08828211,"threshold_uncertainty_score":0.4320891,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08259251383370415,"score_gpt":0.3985133716114362,"score_spread":0.3159208577777321,"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."}}