{"id":"W6943357855","doi":"10.15468/dl.qtckjf","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); Real world data; Set (abstract data type)","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":[0.001008822,0.00203255,0.001608939,0.004759325,0.0009903833,0.002479106,0.002930571,0.00205875,0.1531814],"category_scores_gemma":[0.005697527,0.0009630917,0.001192391,0.009690009,0.0004628841,0.002307811,0.002593718,0.002073092,0.2153387],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001682379,"about_ca_system_score_gemma":0.002372373,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0241881,"about_ca_topic_score_gemma":0.03898174,"domain_scores_codex":[0.999019,0.0001283013,0.0001241427,0.0003402913,0.0002201885,0.0001680848],"domain_scores_gemma":[0.9977067,0.0006351329,0.0002148611,0.0006121458,0.0005655892,0.0002655855],"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":[0.00002858549,0.00001115539,0.0003688961,0.0005179828,0.0000148108,0.00001491516,0.00002639214,0.0001337747,0.0001267892,0.0004093013,0.9969223,0.001425038],"study_design_scores_gemma":[0.0000689166,0.000007252999,0.001700936,0.0001729198,0.00001345845,0.0000343602,0.00007296468,0.0001548958,0.0001987875,0.0007528653,0.9968052,0.00001755824],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004061043,0.00002348496,0.00004948743,0.00003327032,0.00001137623,0.000005252621,0.9987884,0.0004224802,0.0006255582],"genre_scores_gemma":[0.0001541435,0.00002952685,0.0002115578,0.00004128189,0.00000291874,0.00004062284,0.9989339,0.0001697879,0.0004161737],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8468186,"threshold_uncertainty_score":0.5124428,"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."}}