{"id":"W6886973558","doi":"10.15468/dl.cmrjjn","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); Range (aeronautics); 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":[0.0009220347,0.002052532,0.001533788,0.004880702,0.001107721,0.002499236,0.002954639,0.002106284,0.149659],"category_scores_gemma":[0.006153882,0.0008881416,0.001309015,0.009434418,0.0004660067,0.002387198,0.00264248,0.002016305,0.206327],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00173249,"about_ca_system_score_gemma":0.002508738,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02984518,"about_ca_topic_score_gemma":0.04718352,"domain_scores_codex":[0.9989792,0.0001306007,0.0001273706,0.0003464902,0.0002475956,0.0001687233],"domain_scores_gemma":[0.9976624,0.000654413,0.0001941927,0.0006217533,0.0006070908,0.0002600286],"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":[0.00002716135,0.00001159553,0.000361275,0.000443777,0.00001321927,0.00001626935,0.00002401051,0.0001215951,0.0001038805,0.0003523158,0.9970446,0.001480249],"study_design_scores_gemma":[0.00007029726,0.000008670207,0.001914997,0.000191632,0.00001423998,0.00004444689,0.00008920575,0.0002031672,0.0002059646,0.0008041736,0.9964348,0.00001827823],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005566087,0.00003342601,0.00005801083,0.00004746239,0.00001480472,0.0000063269,0.9984231,0.0005980061,0.0007632649],"genre_scores_gemma":[0.000175825,0.00003276035,0.0002154012,0.00004629467,0.000003355241,0.00003804658,0.9988462,0.0001688398,0.0004733897],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.850341,"threshold_uncertainty_score":0.5006593,"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."}}