{"id":"W6906037936","doi":"10.15468/dl.vxzw5p","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); Data set; Confidentiality","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":[0.0008077556,0.001881351,0.001428117,0.004717588,0.001044761,0.002621362,0.002769718,0.001991502,0.1524046],"category_scores_gemma":[0.00564253,0.0009048106,0.001129553,0.01009893,0.0004222878,0.002461375,0.002467722,0.002093892,0.2190281],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001786605,"about_ca_system_score_gemma":0.0025175,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02796826,"about_ca_topic_score_gemma":0.0472627,"domain_scores_codex":[0.9990087,0.0001279512,0.0001230211,0.0003491806,0.0002291917,0.000161887],"domain_scores_gemma":[0.9977371,0.0006073362,0.0001992917,0.0005884237,0.0006226312,0.0002451916],"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":[0.00002418957,0.00001012075,0.000356868,0.0004556632,0.00001178364,0.00001384113,0.00002354817,0.0001127537,0.00008801795,0.0003878781,0.9970566,0.001458896],"study_design_scores_gemma":[0.00005246473,0.000005936033,0.001493635,0.0001649926,0.00001069111,0.0000347497,0.00007748455,0.0001448658,0.0001642652,0.0007432369,0.9970919,0.00001579398],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004222546,0.00002799537,0.00005254733,0.00004029815,0.00001212092,0.000005050678,0.9985607,0.0004566172,0.0008024708],"genre_scores_gemma":[0.0001818854,0.00003827293,0.0002499069,0.00004732441,0.000003477501,0.00003927179,0.9986603,0.0001749812,0.0006044828],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8475954,"threshold_uncertainty_score":0.5098442,"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."}}