{"id":"W6905965703","doi":"10.15468/dl.yx8t3e","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":"Matching (statistics); Download; Alien; Range (aeronautics); State (computer science)","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":[0.0008940218,0.002019138,0.001485382,0.004797265,0.0009414698,0.002387867,0.002595935,0.001903766,0.1561841],"category_scores_gemma":[0.005748778,0.0008923702,0.001218138,0.009665194,0.000428588,0.00216241,0.002425857,0.001795847,0.2130881],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001444281,"about_ca_system_score_gemma":0.002273561,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02015853,"about_ca_topic_score_gemma":0.0330538,"domain_scores_codex":[0.9989886,0.000137392,0.0001292295,0.0003687485,0.0002053785,0.000170672],"domain_scores_gemma":[0.9976361,0.0006845195,0.0002266233,0.0006040148,0.0005831923,0.0002654936],"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":[0.00003377572,0.00001223021,0.0004247756,0.0005581388,0.00001528355,0.00001515561,0.00002141703,0.0001441757,0.0001323431,0.0003621756,0.996729,0.001551545],"study_design_scores_gemma":[0.00007759315,0.00001112151,0.001971256,0.000188214,0.00001617059,0.00003815852,0.00006929848,0.0001657622,0.0002082192,0.0007957648,0.9964395,0.00001902895],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004844199,0.00002664544,0.00004186052,0.00003292706,0.00001285948,0.00000499317,0.9988543,0.0003652289,0.000612601],"genre_scores_gemma":[0.0001628559,0.00003368192,0.0001935488,0.00004522958,0.00000360432,0.00003966985,0.9989051,0.0001418807,0.000474523],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8438159,"threshold_uncertainty_score":0.5224879,"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."}}