{"id":"W6924895707","doi":"10.15468/dl.wtqyzy","title":"Occurrence Download","year":2022,"lang":"en","type":"dataset","venue":"Global Biodiversity Information Facility","topic":"Electromagnetic Simulation and Numerical Methods","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Download; Matching (statistics); Range (aeronautics); Set (abstract data type); Data set","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":[0.001072401,0.001973789,0.001651123,0.004819726,0.0009890581,0.002568556,0.002989358,0.002405972,0.1144345],"category_scores_gemma":[0.006723715,0.0008146981,0.001206398,0.009371995,0.0004491568,0.002107565,0.002310042,0.00190545,0.1661438],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001565108,"about_ca_system_score_gemma":0.002186314,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01888337,"about_ca_topic_score_gemma":0.03055137,"domain_scores_codex":[0.9989203,0.0001585286,0.0001508196,0.0003661925,0.0002468916,0.0001572023],"domain_scores_gemma":[0.997444,0.0007833258,0.000233462,0.0006371631,0.0006465597,0.0002554783],"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":[0.00004045418,0.00001482363,0.0005342257,0.0007176877,0.00002012489,0.00001925943,0.00002215108,0.0002467052,0.0001213,0.0004962294,0.9959368,0.00183022],"study_design_scores_gemma":[0.0001055347,0.00001078162,0.002058164,0.000250231,0.00001767893,0.00004144504,0.00007135177,0.000297726,0.0002024416,0.001077524,0.9958462,0.00002098789],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004917325,0.00003382456,0.00005097114,0.00003647317,0.0000112855,0.000005731371,0.9989607,0.0003517659,0.0005000708],"genre_scores_gemma":[0.0001825951,0.00004009884,0.0002277522,0.00004605631,0.000003677906,0.00004677427,0.9989663,0.0001047425,0.000381831],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8855655,"threshold_uncertainty_score":0.3828215,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01307472822578754,"score_gpt":0.2289416720064587,"score_spread":0.2158669437806712,"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."}}