{"id":"W6887132899","doi":"10.15468/dl.s4gjgz","title":"Occurrence Download","year":2023,"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); Upload; Real world data","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":[0.0009724295,0.001855187,0.001534707,0.004846658,0.0009228578,0.002377133,0.002598142,0.001885004,0.1554006],"category_scores_gemma":[0.005670954,0.0008712338,0.00116024,0.009569531,0.0004093218,0.002222522,0.002443248,0.001863483,0.2139979],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001566122,"about_ca_system_score_gemma":0.002267106,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02254465,"about_ca_topic_score_gemma":0.03601631,"domain_scores_codex":[0.998997,0.0001345794,0.0001278751,0.0003436037,0.0002261498,0.0001707267],"domain_scores_gemma":[0.9976497,0.0006492613,0.0002256779,0.0006161215,0.0005861768,0.0002730213],"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":[0.00002698795,0.00001014829,0.0003768445,0.0004563388,0.00001407003,0.00001362895,0.00002227274,0.0001352522,0.0001090305,0.0003547002,0.9970305,0.00145022],"study_design_scores_gemma":[0.00007204856,0.000008561197,0.001983911,0.0001918475,0.00001457949,0.00003727372,0.00007374392,0.0001871739,0.0001975092,0.0007989745,0.9964166,0.00001778863],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004130772,0.00002402622,0.00004590257,0.00003390119,0.00001129027,0.000004944667,0.9988433,0.0003956754,0.0005995743],"genre_scores_gemma":[0.0001533707,0.00002905322,0.0001933348,0.00004008741,0.000003119794,0.00003696929,0.9989796,0.0001451959,0.0004193145],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8445994,"threshold_uncertainty_score":0.5198669,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02365312271414112,"score_gpt":0.2392044605254057,"score_spread":0.2155513378112646,"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."}}