{"id":"W7106797140","doi":"10.15468/dl.czj93k","title":"Occurrence Download","year":2025,"lang":"","type":"dataset","venue":"Global Biodiversity Information Facility","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Calidris; Matching (statistics); Download; Range (aeronautics); Polygon (computer graphics)","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":[0.0008782504,0.001764631,0.001608263,0.005265133,0.00111079,0.002816265,0.002739449,0.002000993,0.2070931],"category_scores_gemma":[0.006528595,0.0009297759,0.001166142,0.009785608,0.000393076,0.002605836,0.002691401,0.001970144,0.2689964],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00172619,"about_ca_system_score_gemma":0.002442163,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02134329,"about_ca_topic_score_gemma":0.03477564,"domain_scores_codex":[0.9988952,0.0001282191,0.0001481817,0.0003921444,0.0002498163,0.0001865004],"domain_scores_gemma":[0.9974895,0.0006801926,0.0002291904,0.0006248493,0.0007068238,0.000269539],"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":[0.00003016636,0.000009761722,0.0003959901,0.0005759304,0.00001269727,0.00001532051,0.00002306514,0.00009609423,0.0001084881,0.0003981725,0.9965109,0.001823471],"study_design_scores_gemma":[0.00005410169,0.000006737601,0.00147273,0.0001893284,0.0000119044,0.00003398349,0.00007285219,0.0001247463,0.0001610055,0.0006542322,0.9972038,0.00001449406],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003691893,0.00002757384,0.00004993145,0.00003596938,0.00001214118,0.000004905572,0.9986572,0.0004311323,0.0007443376],"genre_scores_gemma":[0.0001658822,0.00003987924,0.0002336048,0.00005083918,0.000004068979,0.00004065986,0.9986205,0.000187262,0.0006572998],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.7929069,"threshold_uncertainty_score":0.6927954,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01434536157882973,"score_gpt":0.2311093459842124,"score_spread":0.2167639844053826,"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."}}