{"id":"W6925212329","doi":"10.15468/dl.ynmatv","title":"Occurrence Download","year":2023,"lang":"en","type":"dataset","venue":"Global Biodiversity Information Facility","topic":"Wound Healing and Treatments","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Download; Matching (statistics); Alien; Range (aeronautics); Phytophthora","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001001786,0.002095579,0.001615589,0.004944543,0.001025425,0.00263953,0.002787823,0.002145421,0.1513828],"category_scores_gemma":[0.006106301,0.0008539875,0.001351815,0.009324722,0.0004554348,0.002082588,0.002333593,0.002089294,0.2224037],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001675986,"about_ca_system_score_gemma":0.002469007,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02305981,"about_ca_topic_score_gemma":0.03653133,"domain_scores_codex":[0.9989673,0.0001541536,0.0001314543,0.0003541819,0.0002279556,0.0001649889],"domain_scores_gemma":[0.9976597,0.0007163535,0.0002085676,0.00056279,0.0005862413,0.0002663705],"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":[0.00003073306,0.0000123919,0.0003512638,0.0005650289,0.00001448703,0.0000151083,0.00002109327,0.0001169468,0.0001065814,0.0003368746,0.997053,0.00137655],"study_design_scores_gemma":[0.000078636,0.000009583086,0.001825274,0.0002277992,0.00001580502,0.00003850679,0.00007070295,0.0001659947,0.0001924324,0.0008086826,0.9965487,0.00001780474],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004271106,0.0000372861,0.00004260724,0.00004591865,0.00001262585,0.000006576737,0.9987522,0.0003815988,0.0006783859],"genre_scores_gemma":[0.0001537505,0.00004476222,0.000186378,0.00005433477,0.000003905837,0.00004808692,0.9988779,0.0001307031,0.0005000856],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8486172,"threshold_uncertainty_score":0.5064259,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02834937497914983,"score_gpt":0.2701939602990119,"score_spread":0.2418445853198621,"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."}}