{"id":"W6962292539","doi":"10.15468/dl.q3huje","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); 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":[0.001029803,0.002000626,0.001630959,0.005099395,0.001041217,0.002680235,0.002848553,0.002070779,0.1667526],"category_scores_gemma":[0.006154768,0.0009330657,0.001142285,0.01005791,0.0004548346,0.002498931,0.002630494,0.002077604,0.2299264],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001574052,"about_ca_system_score_gemma":0.002358277,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02114137,"about_ca_topic_score_gemma":0.03654349,"domain_scores_codex":[0.9989225,0.0001528585,0.0001321807,0.0003764436,0.0002430087,0.0001729779],"domain_scores_gemma":[0.9974282,0.0007211288,0.0002371682,0.0006870908,0.0006283346,0.0002979827],"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":[0.00002714183,0.00001092951,0.0003293268,0.0004863403,0.0000129874,0.00001377626,0.00002298898,0.0001089624,0.0001015887,0.0003817627,0.9972273,0.001277006],"study_design_scores_gemma":[0.00006637424,0.000006977257,0.001626914,0.0001687201,0.00001181521,0.00003297774,0.00006837174,0.0001239019,0.0001666753,0.0007750764,0.9969355,0.00001682315],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004009686,0.00002619387,0.00004722281,0.00003573445,0.00001136274,0.000005359853,0.9987409,0.0003850646,0.0007081426],"genre_scores_gemma":[0.0001611615,0.0000322621,0.0002060851,0.00004451953,0.000003507765,0.00004363872,0.9988242,0.0001641702,0.0005204325],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8332474,"threshold_uncertainty_score":0.5578431,"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."}}