{"id":"W6943520578","doi":"10.15468/dl.qftv58","title":"Occurrence Download","year":2023,"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); Order (exchange); Column (typography)","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":[0.0009133701,0.001838969,0.001500321,0.004688015,0.0009570376,0.002493309,0.002681516,0.001985287,0.1571273],"category_scores_gemma":[0.006126554,0.0008740182,0.001225567,0.009754465,0.0004244533,0.002173024,0.002415468,0.001869764,0.2133431],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001581779,"about_ca_system_score_gemma":0.002382824,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02593959,"about_ca_topic_score_gemma":0.04009608,"domain_scores_codex":[0.9990253,0.0001270901,0.000129786,0.0003337425,0.0002216927,0.0001623168],"domain_scores_gemma":[0.9976702,0.0006851275,0.0002155559,0.0005748111,0.0005924256,0.0002619449],"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":[0.00002878544,0.0000105582,0.0004072864,0.0005257843,0.00001493416,0.00001447419,0.0000251022,0.0001391958,0.0001027593,0.0003527479,0.9969131,0.001465259],"study_design_scores_gemma":[0.00007456536,0.000008516464,0.002105302,0.0002162028,0.00001591693,0.00003822825,0.00008859932,0.0001927018,0.0001853115,0.0008221632,0.9962338,0.00001881719],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003763119,0.00002426452,0.00004251078,0.00003526244,0.00001124385,0.00000463545,0.9989374,0.0003633755,0.0005436235],"genre_scores_gemma":[0.0001615654,0.00003269887,0.0001957139,0.00004454929,0.000003174815,0.00003892401,0.9989381,0.0001432879,0.0004418499],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8428727,"threshold_uncertainty_score":0.5256432,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02365312271414112,"score_gpt":0.2392044605254057,"score_spread":0.2155513378112646,"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."}}