{"id":"W6962252805","doi":"10.15468/dl.ntbwna","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); Alien; Species name","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":[0.001058597,0.001895291,0.001597907,0.005038943,0.0009946882,0.002624879,0.002781377,0.002101971,0.1594815],"category_scores_gemma":[0.006147498,0.0009228055,0.001211051,0.01003811,0.0004429902,0.002240775,0.002444351,0.002046831,0.2207728],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001680652,"about_ca_system_score_gemma":0.002446805,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02232961,"about_ca_topic_score_gemma":0.03462175,"domain_scores_codex":[0.9989098,0.0001493179,0.0001356343,0.0003800373,0.0002462879,0.0001788899],"domain_scores_gemma":[0.9973641,0.0007954792,0.0002522699,0.0006626585,0.0006302542,0.0002952106],"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":[0.00002818653,0.00001127404,0.00036814,0.0005220041,0.00001453591,0.00001338988,0.00002126564,0.000122852,0.0001144688,0.0003741104,0.9970624,0.001347332],"study_design_scores_gemma":[0.00007027688,0.000008231818,0.00197126,0.0001939852,0.00001474489,0.00003271521,0.00006772939,0.0001400764,0.000196194,0.0007667216,0.9965202,0.00001791043],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003647041,0.00002408068,0.00003757249,0.00003280371,0.00001017002,0.000004714766,0.9989775,0.0003037789,0.0005728569],"genre_scores_gemma":[0.0001567607,0.00003338255,0.0001764733,0.00004343066,0.000003299494,0.00004166667,0.9989238,0.0001398257,0.0004813026],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8405185,"threshold_uncertainty_score":0.5335189,"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."}}