{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["open_science"],"consensus_categories":[],"category_scores_codex":[0.01840396,0.0008302796,0.0008867866,0.008201183,0.002744464,0.005741306,0.004949237,0.001580385,0.1280843],"category_scores_gemma":[0.05021662,0.001158263,0.0006296887,0.01039035,0.001037206,0.004364752,0.004278296,0.002214637,0.03962175],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007699064,"about_ca_system_score_gemma":0.02422239,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.06670687,"about_ca_topic_score_gemma":0.03681332,"domain_scores_codex":[0.9910173,0.002048793,0.001709298,0.001179187,0.003212337,0.0008330276],"domain_scores_gemma":[0.9374864,0.01068125,0.006167559,0.01438813,0.02470129,0.006575295],"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":[0.0004046802,0.000161704,0.005975641,0.0006095339,0.00003547128,0.0001597536,0.000607523,0.001339402,0.001323436,0.01407665,0.892272,0.08303422],"study_design_scores_gemma":[0.0002418724,0.00005824153,0.01018966,0.0002616525,0.00001893653,0.00005118812,0.000611643,0.002156461,0.001179916,0.00343587,0.9817249,0.00006970584],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.005383614,0.0001435207,0.03433019,0.009903732,0.0007509173,0.02108141,0.799009,0.01649222,0.1129054],"genre_scores_gemma":[0.04650547,0.0003881273,0.1580949,0.002489655,0.000356679,0.03964471,0.7015706,0.004275559,0.04667424],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.9950508,"threshold_uncertainty_score":0.4284846,"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."}}