{"id":"W6962520300","doi":"10.15468/dl.u6p77a","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; The Internet","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":[0.001073451,0.001957692,0.001610186,0.005057874,0.001003297,0.002560609,0.002816963,0.002137712,0.1500746],"category_scores_gemma":[0.005967382,0.0009139756,0.001247254,0.009969275,0.0004736818,0.002245947,0.002518139,0.002078928,0.2123128],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001636244,"about_ca_system_score_gemma":0.002438981,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02322607,"about_ca_topic_score_gemma":0.03763388,"domain_scores_codex":[0.9989122,0.0001518881,0.0001385194,0.0003765464,0.0002431938,0.0001776591],"domain_scores_gemma":[0.9973395,0.0007897486,0.0002448299,0.0006916242,0.0006327971,0.0003014879],"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":[0.00003014931,0.00001316644,0.0004074368,0.0005632913,0.00001583184,0.00001515378,0.00002499971,0.0001352374,0.0001318258,0.0003866679,0.9968324,0.001443808],"study_design_scores_gemma":[0.00007577882,0.000009137912,0.002146963,0.0002043585,0.00001559683,0.00003752429,0.00007907227,0.0001494712,0.0002060222,0.0007807604,0.9962764,0.00001887155],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004308983,0.00002596399,0.00004155457,0.00003500918,0.00001184215,0.000005143403,0.9989361,0.0003223467,0.0005788898],"genre_scores_gemma":[0.0001527782,0.00003168077,0.0001832269,0.00004201133,0.000003241853,0.00004107295,0.998979,0.0001254566,0.0004415575],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8499254,"threshold_uncertainty_score":0.5020495,"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."}}