{"id":"W6961888848","doi":"10.15468/dl.k2fwbu","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":[0.001009871,0.002013333,0.00157854,0.004795026,0.0009947475,0.002560745,0.00272931,0.002184169,0.152803],"category_scores_gemma":[0.006007484,0.000865392,0.001273555,0.008961931,0.0004391816,0.002301297,0.002503501,0.001944614,0.2236177],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001525531,"about_ca_system_score_gemma":0.002255275,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0205744,"about_ca_topic_score_gemma":0.03260545,"domain_scores_codex":[0.9989662,0.0001494731,0.0001315043,0.0003628305,0.0002198995,0.0001700012],"domain_scores_gemma":[0.9974461,0.0007640164,0.0002219074,0.0006645971,0.0006187636,0.0002846354],"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":[0.00002936477,0.00001266602,0.0004225106,0.0005262735,0.00001415978,0.00001569503,0.00002191023,0.0001264761,0.0001113173,0.0003034865,0.9969727,0.001443523],"study_design_scores_gemma":[0.00008233087,0.00001144427,0.002255136,0.0002252337,0.00001628856,0.00004285983,0.00008602631,0.0002060238,0.0002101206,0.0007476815,0.9960973,0.00001965457],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004953277,0.00002977886,0.00004368681,0.00004112674,0.00001407855,0.000006254215,0.9988136,0.0004133008,0.0005886602],"genre_scores_gemma":[0.0001656744,0.00003334566,0.0001877237,0.0000473023,0.000004031011,0.00004426657,0.9989442,0.000130424,0.0004430584],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8471969,"threshold_uncertainty_score":0.5111771,"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."}}