{"id":"W6962827303","doi":"10.15468/dl.wkeg2q","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); R package; Range (aeronautics); Larus","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":[0.0009310809,0.001942143,0.001498663,0.004601185,0.0008735033,0.002355588,0.002616307,0.001999492,0.1381437],"category_scores_gemma":[0.005596789,0.0008478295,0.001195029,0.009077447,0.000432215,0.002228377,0.002410374,0.001899352,0.1985769],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001530937,"about_ca_system_score_gemma":0.002160299,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.021823,"about_ca_topic_score_gemma":0.03643474,"domain_scores_codex":[0.9990239,0.0001338836,0.0001192292,0.0003487853,0.0002125139,0.0001617745],"domain_scores_gemma":[0.9977396,0.0006423997,0.0002168909,0.0005954815,0.0005503184,0.0002553265],"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":[0.00002961455,0.0000112552,0.0004478226,0.000541458,0.00001680883,0.00001493724,0.00002308789,0.0001632303,0.00012305,0.0003678168,0.9967757,0.001485251],"study_design_scores_gemma":[0.00007507122,0.000009718889,0.002160951,0.0001974737,0.00001635908,0.00003849942,0.00007737178,0.000201525,0.000207423,0.0008232645,0.9961736,0.0000187378],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004551275,0.00002821895,0.00004466668,0.00003390381,0.00001206644,0.000004769592,0.9989101,0.0003721117,0.0005487009],"genre_scores_gemma":[0.0001729155,0.00003190277,0.0001978273,0.000041156,0.000003502042,0.00003665343,0.9989592,0.000134586,0.0004223165],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8618562,"threshold_uncertainty_score":0.4621369,"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."}}