{"id":"W6905702606","doi":"10.15468/dl.k4hs2p","title":"Occurrence Download","year":2022,"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); Column (typography)","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":[0.001137721,0.002045656,0.001651951,0.005347602,0.001079016,0.002827415,0.002956578,0.00209037,0.1742584],"category_scores_gemma":[0.006538447,0.0009947375,0.001166,0.01041913,0.0004735549,0.002479684,0.002647434,0.002076473,0.2461218],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001655009,"about_ca_system_score_gemma":0.002490265,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02190705,"about_ca_topic_score_gemma":0.03606657,"domain_scores_codex":[0.9988171,0.0001587691,0.0001552955,0.0004144739,0.0002644218,0.0001899574],"domain_scores_gemma":[0.9972684,0.0007836099,0.0002520529,0.0007198803,0.0006650126,0.0003110725],"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":[0.00002742147,0.00001045988,0.000336076,0.000504409,0.00001398546,0.0000145713,0.00002345176,0.000107772,0.0001141286,0.0003764646,0.9971817,0.001289781],"study_design_scores_gemma":[0.00006467861,0.000007104304,0.00167174,0.0001859805,0.00001383138,0.00003608249,0.00007039456,0.0001317997,0.0001828858,0.0007394709,0.9968789,0.00001717918],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003434156,0.00002308499,0.00004347453,0.00003148838,0.00001080708,0.000004561423,0.9988997,0.0003377281,0.0006147941],"genre_scores_gemma":[0.0001341201,0.00003006739,0.0001787113,0.00003946396,0.000003077115,0.0000374537,0.9989819,0.0001517312,0.0004434861],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8257416,"threshold_uncertainty_score":0.5829523,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01850871640220096,"score_gpt":0.2277224731265546,"score_spread":0.2092137567243537,"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."}}