{"id":"W6943388285","doi":"10.15468/dl.w5mkpn","title":"Occurrence Download","year":2022,"lang":"en","type":"dataset","venue":"Global Biodiversity Information Facility","topic":"Agriculture Sustainability and Environmental Impact","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Download; Matching (statistics); Range (aeronautics); Data set; Set (abstract data type)","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":[0.0009617354,0.002035469,0.001614313,0.005033851,0.000998517,0.002596626,0.002862514,0.002214432,0.1555379],"category_scores_gemma":[0.006246759,0.0009163473,0.001181482,0.01058066,0.0004609234,0.002216022,0.002574695,0.001957057,0.2059281],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00191451,"about_ca_system_score_gemma":0.002670647,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03142067,"about_ca_topic_score_gemma":0.05033733,"domain_scores_codex":[0.9989063,0.0001406525,0.000142777,0.0003664778,0.0002567293,0.0001870655],"domain_scores_gemma":[0.9975576,0.0006760145,0.0002363635,0.0005854103,0.0006484383,0.0002961034],"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":[0.00003105206,0.00001045251,0.0003560632,0.000575058,0.00001544108,0.00001515499,0.00002208893,0.0001308367,0.0001027045,0.0003687009,0.9971302,0.001242266],"study_design_scores_gemma":[0.00008624534,0.000007652972,0.001847053,0.000196871,0.00001438556,0.00003395052,0.00006927477,0.0001482694,0.0001687747,0.0006694463,0.996741,0.0000171742],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003504745,0.00002494833,0.0000321015,0.00003102442,0.000008973521,0.000004672842,0.9990331,0.0002908784,0.000539196],"genre_scores_gemma":[0.0001504066,0.0000330432,0.0001470631,0.00004152301,0.000002963438,0.00003752847,0.9990698,0.0001182266,0.0003995123],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.844462,"threshold_uncertainty_score":0.5203263,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007104647720233133,"score_gpt":0.1929754028826995,"score_spread":0.1858707551624663,"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."}}