{"id":"W6887099736","doi":"10.15468/dl.s72hpf","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":[0.000999906,0.001908987,0.001572053,0.004670599,0.001060171,0.002681686,0.00274429,0.002151664,0.1764329],"category_scores_gemma":[0.006682211,0.0009227475,0.001268203,0.008725907,0.0004388982,0.002627127,0.00264234,0.002073098,0.2425919],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001576947,"about_ca_system_score_gemma":0.00235733,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02093202,"about_ca_topic_score_gemma":0.03381714,"domain_scores_codex":[0.9989156,0.0001580053,0.0001309172,0.0003939111,0.0002300837,0.0001715632],"domain_scores_gemma":[0.9971704,0.0008465623,0.0002300134,0.0007637684,0.0006974381,0.0002918807],"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":[0.00002691633,0.00001082005,0.0003478053,0.0004845427,0.00001227676,0.00001335305,0.00002106981,0.0001090751,0.00009796087,0.0003377451,0.9971872,0.001351172],"study_design_scores_gemma":[0.00006818029,0.000008530445,0.001676651,0.0001992305,0.00001303624,0.00003298018,0.00007381896,0.0001616942,0.0001764832,0.0008241623,0.9967479,0.00001734137],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004207043,0.0000280949,0.00004762796,0.00004589204,0.00001406602,0.000006402479,0.9986571,0.000459847,0.0006988824],"genre_scores_gemma":[0.0001721216,0.00003687455,0.000226866,0.00005851918,0.000004377347,0.00005117781,0.9987084,0.0001874406,0.0005541898],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.823567,"threshold_uncertainty_score":0.590227,"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."}}