{"id":"W6924551175","doi":"10.15468/dl.pemxcr","title":"Occurrence Download","year":2023,"lang":"en","type":"dataset","venue":"Global Biodiversity Information Facility","topic":"Biosensors and Analytical Detection","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Geodetic datum; Coordinate system; Matching (statistics); Download; Range (aeronautics); Geographic coordinate conversion","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001029344,0.0002083136,0.0001935498,0.00008177016,0.0001143386,0.000097337,0.0002154078,0.0003432108,0.0002695045],"category_scores_gemma":[0.00005253398,0.0002169376,0.0001220982,0.0003714223,0.00006490629,0.0003957005,0.00008964138,0.0002708648,0.5430627],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002168866,"about_ca_system_score_gemma":0.00001845155,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000210767,"about_ca_topic_score_gemma":0.00001715799,"domain_scores_codex":[0.9991012,0.00001426677,0.0002597421,0.0001191276,0.0002730874,0.0002325831],"domain_scores_gemma":[0.9994765,0.00001161991,0.00005314969,0.0002599335,0.00008182793,0.0001169887],"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":[0.000005585319,0.000004831674,0.00002573283,0.0001984747,0.00002716566,0.000001501693,0.000004675036,0.0002370044,1.098984e-7,2.746411e-8,0.9982024,0.001292503],"study_design_scores_gemma":[0.0001147175,0.00001292841,0.00006076249,0.000002641268,0.00003395966,0.000001672912,0.0000286933,0.00001582695,0.000005680542,9.147099e-7,0.9994953,0.0002268455],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0002281663,0.000009318116,0.00001023387,0.00003479409,0.0009401108,0.0001190941,0.9980821,0.0004914588,0.00008471028],"genre_scores_gemma":[0.00001986373,0.0001460863,4.272487e-7,0.0000686861,0.000002308099,0.000001620346,0.9997609,1.973331e-8,1.386549e-7],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.5427933,"threshold_uncertainty_score":0.8846459,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01211720131075526,"score_gpt":0.1974929303221966,"score_spread":0.1853757290114413,"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."}}