{"id":"W6961774041","doi":"10.15468/dl.9a2wt9","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":[0.0009064054,0.002057078,0.001557176,0.00466387,0.00105463,0.002438321,0.002932767,0.002107576,0.1462114],"category_scores_gemma":[0.00587236,0.0008843109,0.001315682,0.008976325,0.0004544101,0.002261002,0.002592896,0.002002706,0.2041821],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001680212,"about_ca_system_score_gemma":0.002348093,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0274535,"about_ca_topic_score_gemma":0.04410059,"domain_scores_codex":[0.9990165,0.000127361,0.0001221746,0.0003376429,0.0002348715,0.0001613637],"domain_scores_gemma":[0.9978005,0.0006120779,0.0001848067,0.0005972417,0.0005535725,0.0002517606],"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":[0.00002822198,0.00001223182,0.0003774571,0.0004659986,0.00001443416,0.00001573324,0.00002390805,0.0001321754,0.0001109758,0.000342518,0.9969864,0.00148993],"study_design_scores_gemma":[0.00007912861,0.000009616625,0.002102003,0.0001994538,0.00001581017,0.0000456784,0.00008944045,0.0002214042,0.0002126958,0.0008168856,0.9961889,0.00001905656],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005471192,0.000033115,0.00005412151,0.00004484499,0.00001419688,0.000006093684,0.998543,0.0005510626,0.0006987582],"genre_scores_gemma":[0.0001744716,0.000032179,0.0002077657,0.00004511205,0.000003221553,0.00003819959,0.998902,0.0001544009,0.0004425506],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8537886,"threshold_uncertainty_score":0.489126,"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."}}