{"id":"W6887279228","doi":"10.15468/dl.y4vcke","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); Set (abstract data type); 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":[0.001010671,0.002045029,0.001614439,0.004879341,0.0009768626,0.002566471,0.002864145,0.00208365,0.1515222],"category_scores_gemma":[0.005889114,0.0009593817,0.001227675,0.009845058,0.0004441527,0.002224659,0.0025027,0.002068335,0.2153666],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001657105,"about_ca_system_score_gemma":0.002346924,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02524909,"about_ca_topic_score_gemma":0.03937855,"domain_scores_codex":[0.9989628,0.0001378748,0.0001297187,0.0003598178,0.000237543,0.0001722476],"domain_scores_gemma":[0.9975746,0.0006897891,0.0002289764,0.0006316425,0.0005878652,0.000287204],"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":[0.00002730223,0.00001075874,0.0003531934,0.0004585146,0.00001402559,0.00001332736,0.00002199928,0.0001236106,0.0001052638,0.0003520921,0.9972392,0.001280721],"study_design_scores_gemma":[0.00007404564,0.00000806101,0.001899115,0.0001767048,0.00001436486,0.00003497085,0.00006933545,0.0001708409,0.0001980706,0.000749642,0.996587,0.00001790852],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003961075,0.00002454452,0.00004296259,0.00003461705,0.0000108236,0.000004887878,0.9988524,0.0004016013,0.0005884891],"genre_scores_gemma":[0.0001557994,0.00003003417,0.0001838472,0.00004159889,0.000003088746,0.00003820119,0.9989523,0.0001597934,0.0004353717],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8484777,"threshold_uncertainty_score":0.5068924,"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."}}