{"id":"W6924595901","doi":"10.15468/dl.ukj2nw","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); Confidentiality; 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":[0.001149299,0.002063688,0.001673051,0.005362981,0.00105642,0.002811261,0.002991651,0.002158676,0.1696668],"category_scores_gemma":[0.006745527,0.001011684,0.001211638,0.01045842,0.0004798316,0.002390009,0.002732327,0.00209705,0.233683],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001689722,"about_ca_system_score_gemma":0.002490537,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0220367,"about_ca_topic_score_gemma":0.03531853,"domain_scores_codex":[0.9988173,0.0001621352,0.0001540698,0.0004147956,0.0002624665,0.0001892173],"domain_scores_gemma":[0.9971891,0.0008126855,0.0002643517,0.0007370983,0.0006866137,0.0003101677],"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":[0.00002740219,0.00001028366,0.0003496839,0.0005279991,0.00001524916,0.00001440088,0.00002372082,0.0001127172,0.0001084529,0.0003792595,0.9971812,0.001249651],"study_design_scores_gemma":[0.00007023857,0.000007206801,0.00169873,0.0001918601,0.00001469227,0.00003643694,0.0000715583,0.0001362774,0.0001805291,0.0007574689,0.9968172,0.00001795971],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0000334906,0.00002471284,0.00004361483,0.00003296842,0.00001081088,0.000004714658,0.9989299,0.0003459253,0.0005738469],"genre_scores_gemma":[0.0001472455,0.00003182571,0.0001895326,0.00004244891,0.000003287574,0.00004018726,0.9989611,0.0001582233,0.0004261373],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8303332,"threshold_uncertainty_score":0.5675919,"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."}}