{"id":"W6961823654","doi":"10.15468/dl.ktcqth","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); Ursus; Set (abstract data type)","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":[0.0009407391,0.001866712,0.00150325,0.005366219,0.000970508,0.002506081,0.002726065,0.001918705,0.1639597],"category_scores_gemma":[0.005765216,0.0008778232,0.001134518,0.01043135,0.0004409867,0.002198329,0.002694187,0.001849878,0.2170161],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001620118,"about_ca_system_score_gemma":0.002609489,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02540216,"about_ca_topic_score_gemma":0.0415183,"domain_scores_codex":[0.9989526,0.0001304396,0.000137087,0.0003530641,0.0002387393,0.0001879589],"domain_scores_gemma":[0.9975275,0.000637067,0.00024034,0.0006468204,0.0006449239,0.0003033423],"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":[0.00003222218,0.00001090988,0.0004115216,0.0005395894,0.00001591309,0.00001590743,0.00002324321,0.0001180938,0.0001358439,0.0003923549,0.9968094,0.001494909],"study_design_scores_gemma":[0.00006600522,0.000007360821,0.001876249,0.000177433,0.00001389139,0.00003458597,0.00006433869,0.0001199608,0.0001994111,0.0006932276,0.9967312,0.00001638758],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004070215,0.00002353248,0.00003742809,0.00003016721,0.00001055969,0.000004868318,0.9988919,0.0003384216,0.0006224914],"genre_scores_gemma":[0.0001518735,0.00002975835,0.0001634462,0.00003949528,0.000003186051,0.00003483124,0.9990188,0.0001272618,0.0004313205],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8360403,"threshold_uncertainty_score":0.5484999,"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."}}