{"id":"W6905982379","doi":"10.15468/dl.zegpqj","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); The Internet; Data modeling","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":[0.001102668,0.001914485,0.001671347,0.005337324,0.001032249,0.002774499,0.00287952,0.002075562,0.1684023],"category_scores_gemma":[0.006516782,0.000972947,0.001180681,0.01062654,0.0004533838,0.002410863,0.002572873,0.002041826,0.227201],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001608478,"about_ca_system_score_gemma":0.002346413,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02077226,"about_ca_topic_score_gemma":0.03360064,"domain_scores_codex":[0.9988392,0.000159453,0.0001562595,0.0004060325,0.0002561602,0.0001830207],"domain_scores_gemma":[0.9973118,0.0007947892,0.0002584768,0.0006974968,0.0006406773,0.0002967294],"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":[0.00002912963,0.00001046291,0.0003712884,0.0005627611,0.00001617086,0.00001477191,0.00002364057,0.0001234663,0.0001131881,0.0003989118,0.996927,0.001409222],"study_design_scores_gemma":[0.00006945584,0.000007609945,0.001858602,0.0002117291,0.00001578162,0.00003743829,0.00007128381,0.0001420602,0.0001749325,0.0007774165,0.9966156,0.00001804564],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003508938,0.0000261202,0.00004228936,0.00003224611,0.00001087958,0.000004378126,0.9989595,0.0003147855,0.0005746937],"genre_scores_gemma":[0.0001472391,0.00003445719,0.000183584,0.00004164962,0.000003315874,0.00003709781,0.9989624,0.0001437775,0.0004464409],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8315977,"threshold_uncertainty_score":0.5633619,"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."}}