{"id":"W6962366194","doi":"10.15468/dl.men4hj","title":"Occurrence Download","year":2025,"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); Software; Ranunculus; Range (aeronautics)","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":[0.0009979854,0.001877064,0.001537069,0.004958223,0.0009801638,0.002586146,0.002795805,0.001970867,0.1712063],"category_scores_gemma":[0.005788498,0.0008837083,0.001154535,0.009450367,0.0004495763,0.002331029,0.00266251,0.001954644,0.2348696],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001518074,"about_ca_system_score_gemma":0.002285278,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0204925,"about_ca_topic_score_gemma":0.03493154,"domain_scores_codex":[0.9989566,0.0001391901,0.0001327994,0.0003604574,0.0002319975,0.0001790532],"domain_scores_gemma":[0.9975814,0.000640461,0.0002204249,0.0006513526,0.0006130027,0.0002933237],"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":[0.00003178995,0.00001112855,0.0003574483,0.0005586307,0.00001529134,0.00001564029,0.00002346744,0.0001079172,0.0001389739,0.0004064518,0.9968848,0.001448423],"study_design_scores_gemma":[0.000068562,0.00000776194,0.001759659,0.0001785652,0.00001386123,0.00003547866,0.0000633306,0.0001219647,0.0002043358,0.0007601496,0.9967695,0.00001684842],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004020401,0.00002505062,0.00004267961,0.00003198665,0.00001077282,0.000005292785,0.9987441,0.00039753,0.0007024616],"genre_scores_gemma":[0.0001506754,0.00003023212,0.000172673,0.00004548239,0.000003147288,0.00003803641,0.9989525,0.0001550388,0.0004521814],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8287937,"threshold_uncertainty_score":0.5727421,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01437393559742932,"score_gpt":0.2320798631925623,"score_spread":0.217705927595133,"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."}}