{"id":"W6961888368","doi":"10.15468/dl.4bcv43","title":"Occurrence Download","year":2025,"lang":"en","type":"dataset","venue":"Global Biodiversity Information Facility","topic":"Plasma Diagnostics and Applications","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Download; Matching (statistics); Range (aeronautics); Data access","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":[0.001123285,0.002178594,0.001649132,0.005439223,0.001008673,0.002759061,0.00290907,0.002143998,0.1290739],"category_scores_gemma":[0.005745538,0.0008615156,0.001374109,0.009301661,0.0004548656,0.002457965,0.002798053,0.001998462,0.2144413],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001650654,"about_ca_system_score_gemma":0.002354932,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02051029,"about_ca_topic_score_gemma":0.034982,"domain_scores_codex":[0.9987994,0.0001751781,0.0001558402,0.0004162398,0.0002612504,0.0001919952],"domain_scores_gemma":[0.9975137,0.0006154734,0.000227068,0.0006990879,0.000661319,0.0002834422],"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":[0.00003676795,0.00001237535,0.0003894319,0.0005808542,0.00001935898,0.00001651217,0.00002200304,0.0001516932,0.0001378866,0.0004164837,0.9965413,0.001675364],"study_design_scores_gemma":[0.00006593804,0.000008820535,0.001675445,0.0001903406,0.00001437364,0.00003559462,0.0000586294,0.0001540351,0.0001921806,0.0008366149,0.9967512,0.00001696997],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004193389,0.00003469181,0.00004735306,0.00003595128,0.00001256146,0.000005917612,0.9987296,0.0004499444,0.0006419743],"genre_scores_gemma":[0.0001433731,0.00003804178,0.0001887872,0.00005081527,0.000003595592,0.0000324824,0.9990003,0.0001369906,0.0004057136],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8709261,"threshold_uncertainty_score":0.4317951,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007763870406997434,"score_gpt":0.1960545033396716,"score_spread":0.1882906329326742,"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."}}