{"id":"W6943587861","doi":"10.15468/dl.zq5jb7","title":"Occurrence Download","year":2020,"lang":"en","type":"dataset","venue":"Global Biodiversity Information Facility","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Download; Matching (statistics); Range (aeronautics); Arrow; Real world data","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":[0.0009910597,0.002137645,0.001627802,0.005060769,0.0009767974,0.002712526,0.003093713,0.002085805,0.170054],"category_scores_gemma":[0.006278875,0.0009831252,0.00125409,0.01039321,0.0004586361,0.002478782,0.002625493,0.002037268,0.2495557],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001696652,"about_ca_system_score_gemma":0.002408903,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0211882,"about_ca_topic_score_gemma":0.03142508,"domain_scores_codex":[0.9989405,0.0001407977,0.0001371228,0.0003710082,0.0002388501,0.0001716906],"domain_scores_gemma":[0.9975732,0.0006556675,0.0002118794,0.0006693599,0.0006086053,0.0002812025],"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":[0.00002703487,0.0000108768,0.000304122,0.0004619673,0.00001297431,0.00001301035,0.00001910639,0.0001163841,0.00008968884,0.0003133674,0.9971831,0.001448325],"study_design_scores_gemma":[0.00007032376,0.000008579059,0.001678983,0.0001722141,0.00001397844,0.00003700893,0.0000703194,0.0001885765,0.000194737,0.0007727979,0.9967752,0.00001721957],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003646644,0.0000257572,0.00004423954,0.0000370259,0.00001245231,0.000005621467,0.9987857,0.0004462498,0.0006065583],"genre_scores_gemma":[0.0001345831,0.00003057633,0.0001838282,0.00004053986,0.000003329353,0.00004185818,0.9989146,0.0001473467,0.0005033119],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.829946,"threshold_uncertainty_score":0.5688874,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02101450523743655,"score_gpt":0.226568981422551,"score_spread":0.2055544761851144,"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."}}