{"id":"W6943288302","doi":"10.15468/dl.u6tmfa","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); Set (abstract data type); Data set","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":[0.000974397,0.001985317,0.001645323,0.004693676,0.001028518,0.002575938,0.00285887,0.00215412,0.1536109],"category_scores_gemma":[0.005876799,0.0009025387,0.001179768,0.009298224,0.0004541804,0.00239226,0.002533937,0.002089672,0.2245539],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0017563,"about_ca_system_score_gemma":0.002368393,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02327099,"about_ca_topic_score_gemma":0.03745371,"domain_scores_codex":[0.9990138,0.0001287795,0.0001229563,0.0003450677,0.0002262703,0.0001632115],"domain_scores_gemma":[0.9977858,0.000615932,0.0002059181,0.0005780705,0.0005654539,0.0002488012],"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":[0.00002995471,0.0000112542,0.0003731507,0.0005338765,0.00001457499,0.00001544757,0.00002472514,0.0001361819,0.0001244518,0.000405702,0.9968265,0.001504248],"study_design_scores_gemma":[0.00007112864,0.000007799599,0.00174219,0.000193878,0.00001363074,0.00003794254,0.00007381467,0.0001717413,0.0001921985,0.0007975148,0.9966803,0.00001794805],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004092728,0.00002725235,0.00004937159,0.00003548672,0.00001164979,0.000005175472,0.9987718,0.0004248126,0.0006334176],"genre_scores_gemma":[0.0001595433,0.00003218672,0.0002120822,0.00004281488,0.000003147692,0.00004051038,0.9989147,0.0001589284,0.0004359926],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8463891,"threshold_uncertainty_score":0.5138797,"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."}}