{"id":"W6905920092","doi":"10.15468/dl.tqx76n","title":"Occurrence Download","year":2023,"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); R package; Data set","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":[0.0009049118,0.00202793,0.001608486,0.004878017,0.001094418,0.002881329,0.003112313,0.00212324,0.1646949],"category_scores_gemma":[0.006189135,0.0009697926,0.001214935,0.01018594,0.000463769,0.002511232,0.002635137,0.002137806,0.238923],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001833628,"about_ca_system_score_gemma":0.002527525,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02544082,"about_ca_topic_score_gemma":0.04148926,"domain_scores_codex":[0.9989696,0.0001345902,0.0001280899,0.0003593677,0.0002376877,0.0001706568],"domain_scores_gemma":[0.9977595,0.0006109907,0.0001942133,0.000587184,0.0005978682,0.0002501596],"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":[0.00002510156,0.000009851891,0.0003001756,0.0004947439,0.00001277024,0.00001298362,0.00002166089,0.0001086949,0.00009011342,0.0003642507,0.9971918,0.001367841],"study_design_scores_gemma":[0.00006154898,0.000006441054,0.001365649,0.0001762354,0.00001260076,0.00003429698,0.00007098148,0.0001440055,0.0001688986,0.0007509887,0.9971921,0.00001628731],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003761388,0.00003078675,0.00004864966,0.00003971284,0.00001213101,0.000005251609,0.9986388,0.0004522883,0.0007346409],"genre_scores_gemma":[0.0001636312,0.00003893077,0.0002168584,0.00004599554,0.000003388076,0.00004226806,0.9987944,0.0001771022,0.0005173167],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8353051,"threshold_uncertainty_score":0.5509592,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02365312271414112,"score_gpt":0.2392044605254057,"score_spread":0.2155513378112646,"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."}}