{"id":"W6962260884","doi":"10.15468/dl.w24zu8","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); Code (set theory)","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":[0.001135075,0.001952939,0.001659714,0.005335585,0.001021342,0.002726972,0.002935697,0.002121302,0.1560486],"category_scores_gemma":[0.006468857,0.0009838514,0.001177378,0.01025433,0.0004685594,0.002361688,0.002594209,0.002074067,0.2189258],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001646751,"about_ca_system_score_gemma":0.002420004,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02153108,"about_ca_topic_score_gemma":0.03506771,"domain_scores_codex":[0.9988293,0.0001603552,0.0001596465,0.0004052867,0.0002622755,0.0001830861],"domain_scores_gemma":[0.9972672,0.000797052,0.0002651462,0.0007069784,0.0006586691,0.0003050281],"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":[0.00002942332,0.00001147127,0.0003839803,0.0005690849,0.00001592564,0.00001568385,0.0000251622,0.0001224164,0.0001204595,0.0003903085,0.9969687,0.001347361],"study_design_scores_gemma":[0.00007428985,0.000008010704,0.001882159,0.0002031372,0.00001521322,0.00003956212,0.0000782088,0.0001462054,0.0001844072,0.0007362131,0.9966143,0.00001827746],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003731443,0.00002473218,0.00004313735,0.00003347467,0.00001091541,0.000004787716,0.9989567,0.0003328213,0.000556161],"genre_scores_gemma":[0.0001481356,0.00003144552,0.0001841323,0.00004007543,0.000003120713,0.00003892513,0.9990061,0.0001383809,0.0004097836],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8439514,"threshold_uncertainty_score":0.5220346,"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."}}