{"id":"W6961848699","doi":"10.15468/dl.fuvenq","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); 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":[0.001031931,0.001915286,0.00164848,0.005613309,0.0009435931,0.002665333,0.002724121,0.001943069,0.173228],"category_scores_gemma":[0.00610906,0.0009293287,0.001196515,0.01095562,0.0004462668,0.0022072,0.002662022,0.001860104,0.2319637],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001500861,"about_ca_system_score_gemma":0.002309656,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01953529,"about_ca_topic_score_gemma":0.03154776,"domain_scores_codex":[0.9989039,0.0001455991,0.0001471289,0.0003682233,0.0002484383,0.000186756],"domain_scores_gemma":[0.9974686,0.0006808974,0.0002555582,0.0006740547,0.000623249,0.000297734],"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":[0.00003198101,0.00001037405,0.0003874954,0.0006277252,0.00001772706,0.00001491262,0.0000241518,0.0001213027,0.0001332056,0.0003981223,0.9965854,0.001647533],"study_design_scores_gemma":[0.00006802812,0.000007980245,0.001855904,0.0002038738,0.00001548521,0.000035656,0.00006325696,0.0001168906,0.0001905466,0.0007280969,0.9966974,0.00001691927],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0000373781,0.00002893743,0.00004014045,0.00002941119,0.00001018955,0.000004850429,0.9988907,0.0003545162,0.0006039569],"genre_scores_gemma":[0.000152438,0.00003552532,0.0001732123,0.00004382346,0.000003364674,0.00003665759,0.9989945,0.000146289,0.0004141864],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.826772,"threshold_uncertainty_score":0.5795056,"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."}}