{"id":"W4395121847","doi":"10.15468/dl.37g3by","title":"Occurrence Download","year":2024,"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":[0.0008425713,0.001920547,0.001464984,0.00472602,0.0009606279,0.002571538,0.002819061,0.001950812,0.1550025],"category_scores_gemma":[0.00589498,0.000858903,0.001108281,0.00952869,0.00042946,0.002351258,0.002368287,0.0020176,0.2259487],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001684837,"about_ca_system_score_gemma":0.002331241,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02359289,"about_ca_topic_score_gemma":0.04057235,"domain_scores_codex":[0.9990305,0.0001315178,0.000125843,0.0003360229,0.000222209,0.000153841],"domain_scores_gemma":[0.9977821,0.0006254702,0.0001859807,0.0005708288,0.0005917418,0.0002438329],"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":[0.00002346137,0.00001022586,0.0003031797,0.0004248565,0.00001102066,0.00001324365,0.00001878451,0.000113782,0.00007855911,0.0003525893,0.9972878,0.001362554],"study_design_scores_gemma":[0.00005971578,0.000006264068,0.001297714,0.0001535738,0.00001017872,0.00003246526,0.00006183824,0.000169583,0.0001513482,0.0007294091,0.9973142,0.00001372454],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004206646,0.00002915401,0.00005040105,0.00003966023,0.00001203358,0.000005858806,0.9986151,0.0004480198,0.0007576875],"genre_scores_gemma":[0.0001498252,0.00003657834,0.0002126383,0.00004648669,0.000003450447,0.00004032822,0.9987998,0.000153573,0.0005573193],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8449975,"threshold_uncertainty_score":0.5185351,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02561926016146434,"score_gpt":0.191291829034697,"score_spread":0.1656725688732326,"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."}}