{"id":"W6962310823","doi":"10.15468/dl.z8cvxk","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); Confidentiality; 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":[0.001067803,0.001933999,0.001580936,0.005080987,0.0009917062,0.002561693,0.002834545,0.002055614,0.1544484],"category_scores_gemma":[0.006081025,0.00090382,0.001143035,0.009779719,0.0004584958,0.002355247,0.002454851,0.002090205,0.2119072],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001553326,"about_ca_system_score_gemma":0.002270613,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01965256,"about_ca_topic_score_gemma":0.03228715,"domain_scores_codex":[0.998942,0.0001499515,0.0001333442,0.0003756757,0.00022627,0.0001728217],"domain_scores_gemma":[0.9974597,0.0007455531,0.0002459194,0.0006659157,0.0005850822,0.0002978182],"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":[0.00002743612,0.00001142649,0.0003539198,0.0004919007,0.00001432358,0.00001329012,0.00002133567,0.0001297375,0.0001077128,0.000365122,0.997116,0.001348042],"study_design_scores_gemma":[0.00007375084,0.000008424212,0.001779661,0.0001857481,0.00001449317,0.00003607598,0.00007169511,0.0001655157,0.0001798364,0.0008134831,0.9966535,0.00001800363],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004223835,0.00002804784,0.00004744314,0.00003735771,0.00001314623,0.00000521548,0.9988543,0.0003628153,0.0006094706],"genre_scores_gemma":[0.0001632054,0.00003284098,0.0002005475,0.00004554894,0.000003808874,0.00004380516,0.9989116,0.000142621,0.0004560478],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8455516,"threshold_uncertainty_score":0.5166815,"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."}}