{"id":"W6887232579","doi":"10.15468/dl.wdwekx","title":"Occurrence Download","year":2022,"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; Reference data","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":[0.001026138,0.001986802,0.001658152,0.005077955,0.001010488,0.00257479,0.002844966,0.002139955,0.1533812],"category_scores_gemma":[0.00601215,0.0009083967,0.001152447,0.009528784,0.0004602802,0.002365154,0.002565783,0.002017389,0.211819],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00157244,"about_ca_system_score_gemma":0.0022651,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01974436,"about_ca_topic_score_gemma":0.03377269,"domain_scores_codex":[0.9989464,0.0001504127,0.0001328804,0.0003724429,0.0002277709,0.000170146],"domain_scores_gemma":[0.9975225,0.000719459,0.0002420585,0.0006392254,0.0005819037,0.0002947603],"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":[0.00003180988,0.00001234267,0.0003895071,0.0005898626,0.00001556327,0.00001628753,0.00002421129,0.0001268018,0.0001223907,0.0003818286,0.9969296,0.001359863],"study_design_scores_gemma":[0.0000828792,0.000009079936,0.001961514,0.0002045769,0.00001498121,0.00004149111,0.00007495807,0.000151994,0.0001899173,0.0007927509,0.996457,0.00001872548],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004415628,0.0000295258,0.00004387742,0.00003488857,0.0000113436,0.000005374679,0.9988709,0.000354428,0.0006055352],"genre_scores_gemma":[0.0001680434,0.00003375474,0.0001937779,0.00004502016,0.000003437163,0.00004334959,0.9989342,0.0001349826,0.0004434364],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8466188,"threshold_uncertainty_score":0.5131114,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01850871640220096,"score_gpt":0.2277224731265546,"score_spread":0.2092137567243537,"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."}}