{"id":"W6905683500","doi":"10.15468/dl.byk6t3","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); Order (exchange); Identification (biology)","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":[0.0009964016,0.002048436,0.001689018,0.005696331,0.0009822545,0.002754689,0.002977261,0.002069544,0.1627887],"category_scores_gemma":[0.006151598,0.0009427534,0.001212786,0.011225,0.0004557569,0.002454684,0.002696815,0.001917141,0.2251756],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001692208,"about_ca_system_score_gemma":0.002437727,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02423945,"about_ca_topic_score_gemma":0.03700454,"domain_scores_codex":[0.9989046,0.000141369,0.0001423687,0.0003843631,0.0002449622,0.0001822958],"domain_scores_gemma":[0.9976687,0.000630633,0.0002206776,0.0006160169,0.0005906378,0.0002732385],"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":[0.00002970245,0.00001005435,0.0003526567,0.0006049307,0.00001682348,0.00001483393,0.00002484702,0.00012909,0.0001175554,0.0004000514,0.9967686,0.00153083],"study_design_scores_gemma":[0.00006240668,0.000007015658,0.001621866,0.0001911897,0.000014633,0.00003386181,0.00007017489,0.0001341018,0.0001695122,0.0006856253,0.9969937,0.00001612887],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003698834,0.00003113982,0.00004370708,0.00003239002,0.00001135902,0.000004801403,0.9988025,0.0003986444,0.0006384156],"genre_scores_gemma":[0.0001499561,0.00003610838,0.0001762124,0.00003893408,0.000003087702,0.00003322037,0.9989688,0.0001559392,0.0004376808],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8372113,"threshold_uncertainty_score":0.5445826,"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."}}