{"id":"W6887034942","doi":"10.15468/dl.kx5wct","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); Alien; The Internet","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":[0.001038203,0.001970075,0.001557911,0.004938522,0.0009929597,0.002654256,0.002700035,0.002082141,0.1686445],"category_scores_gemma":[0.006357202,0.0009086416,0.001241453,0.009384271,0.0004533142,0.002308579,0.002575201,0.00197432,0.2374728],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00152598,"about_ca_system_score_gemma":0.0023331,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0212396,"about_ca_topic_score_gemma":0.03282731,"domain_scores_codex":[0.9989541,0.0001465449,0.0001295105,0.0003671611,0.0002284209,0.0001742306],"domain_scores_gemma":[0.9973761,0.0007848224,0.0002279446,0.0006872239,0.0006341886,0.0002897033],"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":[0.00002758846,0.00001171508,0.0003888171,0.0005158298,0.00001386442,0.0000147867,0.00002275219,0.000123427,0.0001062012,0.0003392179,0.9970461,0.001389912],"study_design_scores_gemma":[0.00007601867,0.000009645619,0.001972354,0.0002112526,0.00001503969,0.00003726064,0.00008175587,0.0001735608,0.0001943249,0.0007740509,0.9964366,0.00001814865],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004438029,0.00002668464,0.00004419419,0.00004021997,0.00001356272,0.000005938826,0.9987833,0.0004066917,0.0006350065],"genre_scores_gemma":[0.0001674112,0.00003352029,0.0001946173,0.00004911999,0.000004052121,0.00004588256,0.9988575,0.000158049,0.0004898651],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8313555,"threshold_uncertainty_score":0.564172,"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."}}