{"id":"W6906063045","doi":"10.15468/dl.x2989j","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":[0.001022578,0.001928179,0.001553513,0.004806027,0.0009982451,0.00252713,0.00278614,0.002149615,0.1568312],"category_scores_gemma":[0.006122618,0.0008895832,0.001214066,0.009404799,0.000452812,0.002403478,0.002512961,0.002045545,0.2229047],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001624414,"about_ca_system_score_gemma":0.002389035,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02260373,"about_ca_topic_score_gemma":0.0386415,"domain_scores_codex":[0.9989117,0.000156377,0.0001357513,0.0003826011,0.0002395574,0.0001739279],"domain_scores_gemma":[0.997306,0.0007928027,0.0002410707,0.0007070231,0.0006613462,0.0002916878],"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":[0.0000277021,0.00001175538,0.0003631477,0.0004807733,0.00001311045,0.00001383896,0.00002200732,0.0001219627,0.0001028571,0.0003671865,0.9971499,0.001325805],"study_design_scores_gemma":[0.0000698006,0.000008533169,0.001850529,0.0001830146,0.0000133724,0.00003417561,0.00007292709,0.000152201,0.0001817325,0.0008246382,0.996591,0.00001808589],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004179954,0.00002469682,0.00004327628,0.00003904548,0.00001183501,0.000005175077,0.9988422,0.0003621549,0.0006298954],"genre_scores_gemma":[0.0001644923,0.00003111589,0.0001957784,0.00004682033,0.000003529359,0.00004190013,0.9988806,0.0001446297,0.0004912171],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8431688,"threshold_uncertainty_score":0.5246527,"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."}}