{"id":"W6961923311","doi":"10.15468/dl.d2awjd","title":"Occurrence Download","year":2025,"lang":"en","type":"dataset","venue":"Global Biodiversity Information Facility","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Matching (statistics); Download; Range (aeronautics); Set (abstract data type); State (computer science); Order (exchange)","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":[0.000916964,0.002025489,0.001552419,0.004858872,0.00107413,0.002463312,0.002895335,0.002048041,0.1389311],"category_scores_gemma":[0.005758101,0.0008852404,0.00129103,0.009318676,0.0004665122,0.002323722,0.002554194,0.002032184,0.1977746],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001656874,"about_ca_system_score_gemma":0.002430897,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02777996,"about_ca_topic_score_gemma":0.04482312,"domain_scores_codex":[0.9989857,0.0001308938,0.0001269889,0.0003499097,0.0002387914,0.0001677531],"domain_scores_gemma":[0.9977428,0.000621885,0.0001964081,0.0006124482,0.0005639149,0.0002626521],"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":[0.00002759568,0.00001165608,0.0003818404,0.0004468737,0.00001416054,0.00001604489,0.00002349307,0.0001322905,0.0001074219,0.0003541003,0.9970509,0.001433514],"study_design_scores_gemma":[0.0000754612,0.000009343554,0.002098208,0.0001907383,0.00001535232,0.0000471622,0.00008791545,0.0002095875,0.0002070778,0.0008170324,0.9962231,0.00001906556],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005430019,0.00003301325,0.00005230082,0.00004410863,0.00001433777,0.000005707353,0.9986079,0.0005196541,0.0006687652],"genre_scores_gemma":[0.0001655952,0.00003246298,0.0001979678,0.00004276711,0.00000334485,0.00003534913,0.9989505,0.0001452605,0.0004268346],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.861069,"threshold_uncertainty_score":0.4647707,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01437393559742932,"score_gpt":0.2320798631925623,"score_spread":0.217705927595133,"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."}}