{"id":"W6943396407","doi":"10.15468/dl.z9fvwu","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); Identification (biology); Column (typography)","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":[0.00114972,0.00199344,0.001631164,0.005232685,0.001065608,0.00275339,0.002929066,0.002045485,0.1709021],"category_scores_gemma":[0.006845467,0.0009922303,0.001184256,0.01030161,0.0004711544,0.00242321,0.002652052,0.002100848,0.2340504],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001680683,"about_ca_system_score_gemma":0.002553698,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02391318,"about_ca_topic_score_gemma":0.0380699,"domain_scores_codex":[0.9988379,0.000157612,0.0001522224,0.000405169,0.000263056,0.0001841901],"domain_scores_gemma":[0.9971066,0.0008480733,0.0002565172,0.0007464624,0.0007339056,0.0003085325],"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":[0.00002593054,0.00001013526,0.0003409313,0.0005045052,0.00001430226,0.00001385058,0.00002401323,0.000109091,0.0001075206,0.0003768188,0.997203,0.001269892],"study_design_scores_gemma":[0.00006598113,0.000006650449,0.001659755,0.0001827395,0.0000141143,0.0000338449,0.00007265772,0.0001294638,0.0001790943,0.0007396602,0.9968987,0.00001748538],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003314373,0.00002223586,0.00004627803,0.0000317044,0.00001070788,0.000004833271,0.9988841,0.0003527052,0.0006141909],"genre_scores_gemma":[0.0001429894,0.00003062632,0.0001955265,0.00004052231,0.000003201434,0.00004230065,0.9989279,0.0001643801,0.0004525963],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8290979,"threshold_uncertainty_score":0.5717244,"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."}}