{"id":"W6887041822","doi":"10.15468/dl.kycu38","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":[0.0009762071,0.002014474,0.001598143,0.004633561,0.0009642756,0.002458432,0.002853881,0.002096738,0.1432685],"category_scores_gemma":[0.005614534,0.0009215499,0.001202184,0.009208691,0.0004490136,0.002200717,0.002543028,0.002001168,0.2020415],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001640983,"about_ca_system_score_gemma":0.002306884,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02397925,"about_ca_topic_score_gemma":0.03805178,"domain_scores_codex":[0.999024,0.0001270234,0.000122952,0.000338999,0.0002208715,0.000166169],"domain_scores_gemma":[0.9978046,0.0006147825,0.000207814,0.0005894369,0.0005284593,0.0002548607],"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":[0.00003004235,0.00001213053,0.0004106219,0.0005377377,0.0000157307,0.00001547004,0.00002677407,0.0001509662,0.0001303019,0.0003963874,0.9967908,0.001483006],"study_design_scores_gemma":[0.00007824346,0.000008286249,0.001968565,0.0001920468,0.00001456782,0.00003784574,0.00007753017,0.0001840802,0.0002037821,0.0007521103,0.9964647,0.00001811942],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0000456482,0.00002614363,0.0000465354,0.00003395241,0.00001137285,0.000005198867,0.9988303,0.0004188391,0.000581974],"genre_scores_gemma":[0.0001630383,0.00002952339,0.000197575,0.00003986994,0.000002901747,0.00003953391,0.9989905,0.0001484288,0.0003885984],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8567315,"threshold_uncertainty_score":0.479281,"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."}}