{"id":"W6905956067","doi":"10.15468/dl.kn4cur","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); Confidentiality; 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":[0.0009911507,0.00191723,0.001603387,0.00516332,0.001006448,0.002668463,0.002801476,0.002022912,0.1699838],"category_scores_gemma":[0.005810735,0.0009142212,0.001130387,0.01029459,0.0004377365,0.002440591,0.002548663,0.00201802,0.2344286],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001542624,"about_ca_system_score_gemma":0.002251201,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01899491,"about_ca_topic_score_gemma":0.03278531,"domain_scores_codex":[0.9989727,0.0001367318,0.0001281872,0.0003615824,0.0002293161,0.0001715874],"domain_scores_gemma":[0.997596,0.0006794599,0.0002284003,0.0006314995,0.0005825832,0.0002820389],"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":[0.00002692945,0.00001058876,0.0003524273,0.0005281859,0.00001406215,0.00001386406,0.00002313543,0.0001171743,0.0001162285,0.0003989055,0.9969522,0.001446289],"study_design_scores_gemma":[0.00005799573,0.000006459426,0.00155688,0.0001708944,0.00001224031,0.00003092377,0.00006447539,0.0001192568,0.0001699805,0.0007393708,0.9970558,0.00001574421],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003977055,0.00002696174,0.0000450101,0.0000328807,0.00001155394,0.000004803376,0.9987968,0.0003402895,0.0007018889],"genre_scores_gemma":[0.0001571661,0.00003502058,0.0001998358,0.0000442526,0.000003490223,0.00004106612,0.9988404,0.000156116,0.0005227076],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8300161,"threshold_uncertainty_score":0.5686526,"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."}}