{"id":"W4395346329","doi":"10.15468/dl.2sa8w8","title":"Occurrence Download","year":2023,"lang":"en","type":"dataset","venue":"Global Biodiversity Information Facility","topic":"Subterranean biodiversity and taxonomy","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Download; Computer science; World Wide Web","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":[0.001017861,0.001933817,0.001608584,0.005051416,0.001003653,0.002676426,0.00283272,0.00198088,0.1788681],"category_scores_gemma":[0.00613053,0.0009755034,0.001110342,0.01000681,0.0004461256,0.002290552,0.002634482,0.002062088,0.2262661],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001771582,"about_ca_system_score_gemma":0.002490732,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02466498,"about_ca_topic_score_gemma":0.03847291,"domain_scores_codex":[0.9989703,0.0001303124,0.0001362919,0.0003489128,0.000241017,0.0001732213],"domain_scores_gemma":[0.9975395,0.0007229553,0.0002346536,0.0005904656,0.00061232,0.0003000916],"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":[0.00002722835,0.000009654646,0.0003292751,0.0004885714,0.00001305846,0.00001496164,0.00002432371,0.000110423,0.00009380159,0.0004057846,0.997234,0.00124885],"study_design_scores_gemma":[0.00007518019,0.000006244321,0.001583954,0.000175191,0.0000125466,0.00003441435,0.00006776345,0.0001455191,0.0001750214,0.0007592457,0.996949,0.00001591609],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003359183,0.00001995183,0.00004278139,0.00003161664,0.000009465924,0.00000474571,0.9988933,0.0003510679,0.0006135724],"genre_scores_gemma":[0.0001576288,0.00003120778,0.0002032632,0.00004407478,0.000003244834,0.00004267941,0.9988567,0.0001814633,0.0004797072],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8211318,"threshold_uncertainty_score":0.5983735,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03451629493209381,"score_gpt":0.1958008581516074,"score_spread":0.1612845632195136,"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."}}