{"id":"W6905909706","doi":"10.15468/dl.s5vpfs","title":"Occurrence Download","year":2022,"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); Alien","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":[0.0009974403,0.001976101,0.001586448,0.004554968,0.0009949342,0.002601518,0.002764937,0.002130841,0.1597039],"category_scores_gemma":[0.00596097,0.0009219377,0.001282563,0.00899364,0.0004440996,0.002393582,0.002551393,0.002007681,0.2258102],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001529808,"about_ca_system_score_gemma":0.002226989,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02053574,"about_ca_topic_score_gemma":0.03212582,"domain_scores_codex":[0.9990214,0.00013737,0.0001232648,0.0003483362,0.000211,0.0001585631],"domain_scores_gemma":[0.9975448,0.0007353487,0.0002101792,0.0006640379,0.0005759897,0.0002696084],"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":[0.00002918663,0.00001226139,0.0003737815,0.0005644325,0.00001486809,0.0000163456,0.00002309337,0.0001314507,0.0001243002,0.0003536682,0.9969067,0.001449948],"study_design_scores_gemma":[0.0000804725,0.000009842687,0.002016751,0.0002092536,0.0000154537,0.00004090527,0.00007872141,0.0001824114,0.0002042038,0.0007861552,0.9963571,0.00001858292],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004710767,0.00002839313,0.00004874126,0.00004161474,0.00001392744,0.000006154311,0.9987211,0.0004530316,0.0006400039],"genre_scores_gemma":[0.0001667555,0.00003449469,0.0002029853,0.00004924557,0.000003782152,0.00004549006,0.9988893,0.0001550397,0.0004529541],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8402961,"threshold_uncertainty_score":0.5342628,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01850871640220096,"score_gpt":0.2277224731265546,"score_spread":0.2092137567243537,"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."}}