{"id":"W6924792892","doi":"10.15468/dl.xzcgbp","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); Confidentiality; Information system","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":[0.001038664,0.001928927,0.001611297,0.005780539,0.0008605046,0.002446465,0.002678508,0.00181371,0.1813273],"category_scores_gemma":[0.005793209,0.0009375245,0.001153323,0.01127725,0.0004250718,0.002431363,0.002647339,0.001833101,0.2419915],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001506035,"about_ca_system_score_gemma":0.002208048,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01849241,"about_ca_topic_score_gemma":0.03109345,"domain_scores_codex":[0.9989344,0.0001348701,0.0001422336,0.0003644715,0.0002403327,0.0001836592],"domain_scores_gemma":[0.9973229,0.0006801085,0.0002724282,0.0006991102,0.0006847315,0.0003408432],"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":[0.00002886229,0.00001001212,0.0003734681,0.0005435408,0.0000153112,0.00001345787,0.00002075036,0.0001178107,0.0001147002,0.0003733129,0.9969023,0.001486341],"study_design_scores_gemma":[0.0000617039,0.000008264564,0.001955101,0.0001718117,0.00001373857,0.000033962,0.00006338762,0.0001237168,0.000171377,0.0006562562,0.9967244,0.00001644534],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003231402,0.00002143605,0.00003258228,0.00002607097,0.00001024641,0.00000391098,0.9991073,0.0002567421,0.0005094098],"genre_scores_gemma":[0.0001256338,0.00002907476,0.000152939,0.00003318337,0.000003197463,0.00002983672,0.9990675,0.0001127002,0.0004459017],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8186727,"threshold_uncertainty_score":0.6066003,"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."}}