{"id":"W6887218392","doi":"10.15468/dl.vvyzud","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); Alien; 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":[0.0009906159,0.001982066,0.001554469,0.004759474,0.001013573,0.002561082,0.00282097,0.002113129,0.1628854],"category_scores_gemma":[0.006535035,0.0008980784,0.001293298,0.008917884,0.0004489107,0.00234206,0.002487067,0.002023265,0.2289003],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001591964,"about_ca_system_score_gemma":0.002349836,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02256944,"about_ca_topic_score_gemma":0.0348314,"domain_scores_codex":[0.9989992,0.0001379263,0.0001230251,0.0003508946,0.0002235089,0.0001654001],"domain_scores_gemma":[0.9974873,0.0007655862,0.0002076819,0.0006389938,0.0006277474,0.0002726548],"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":[0.0000274477,0.00001171692,0.0003611453,0.0004891332,0.00001357773,0.00001458792,0.00002096612,0.0001191637,0.0001086301,0.0003141232,0.9971129,0.001406727],"study_design_scores_gemma":[0.00007777165,0.000009900011,0.001972822,0.0002182816,0.00001598823,0.00004046358,0.00007965992,0.0001932694,0.0002142596,0.0008273067,0.9963316,0.00001873237],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0000437015,0.00002848206,0.00004678379,0.00004178514,0.00001310524,0.000006212234,0.9987457,0.0004436581,0.0006304907],"genre_scores_gemma":[0.0001670409,0.00003385243,0.0001953822,0.00005083272,0.000003743367,0.00004666777,0.9988747,0.000158163,0.0004695564],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8371146,"threshold_uncertainty_score":0.544906,"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."}}