{"id":"W6886967857","doi":"10.15468/dl.c8f73v","title":"Occurrence Download","year":2024,"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":[0.0009494983,0.001950788,0.001598467,0.00545714,0.0009240518,0.002539471,0.002678143,0.001858622,0.1574562],"category_scores_gemma":[0.005735286,0.0008744989,0.001167637,0.01059862,0.0004389721,0.00215624,0.002671153,0.001808332,0.2204508],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00158515,"about_ca_system_score_gemma":0.002377992,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02276419,"about_ca_topic_score_gemma":0.03690001,"domain_scores_codex":[0.9989472,0.0001415172,0.0001400829,0.0003538138,0.00023623,0.000181206],"domain_scores_gemma":[0.9975615,0.00063442,0.0002429627,0.000640364,0.0006310875,0.0002897035],"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":[0.00003360317,0.00001065547,0.0003849577,0.0006061824,0.0000170959,0.00001454172,0.00002351697,0.0001247758,0.0001296108,0.0003859533,0.9966782,0.001590806],"study_design_scores_gemma":[0.00006686404,0.000007394806,0.001814244,0.0001836993,0.00001473719,0.00003309252,0.00006294283,0.000117178,0.0001860169,0.0006993114,0.9967979,0.00001659222],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003703868,0.00002685832,0.00003533389,0.0000287583,0.000009445976,0.000004435633,0.9989818,0.0003138904,0.0005623759],"genre_scores_gemma":[0.0001504732,0.00003501361,0.0001666366,0.00003946543,0.000003229356,0.00003475157,0.9990113,0.000129137,0.000429955],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8425437,"threshold_uncertainty_score":0.5267437,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01708767307206114,"score_gpt":0.2335971948231368,"score_spread":0.2165095217510757,"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."}}