{"id":"W6924517160","doi":"10.15468/dl.emxmc8","title":"Occurrence Download","year":2025,"lang":"en","type":"dataset","venue":"Global Biodiversity Information Facility","topic":"Chemistry and Chemical Engineering","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Download; Matching (statistics); Range (aeronautics); 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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00007397039,0.0001885217,0.0001508899,0.00001246757,0.0001138212,0.00004651759,0.0004349215,0.0002520767,0.007056237],"category_scores_gemma":[0.00009021309,0.000201354,0.00009065817,0.0002378388,0.0001239666,0.0003925953,0.0005584637,0.0002267242,0.0422919],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004330869,"about_ca_system_score_gemma":0.00002271807,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002523045,"about_ca_topic_score_gemma":0.000002945006,"domain_scores_codex":[0.9991204,0.000008349225,0.00021104,0.000174635,0.0002859353,0.0001996836],"domain_scores_gemma":[0.9994344,0.0000111938,0.00008813375,0.0003422211,0.00001518947,0.0001089045],"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":[0.00001064717,0.0000165694,0.0003843613,0.0001100394,0.000008015502,8.143844e-7,0.000006175473,0.000139047,0.00000164085,7.648027e-9,0.9986864,0.0006362949],"study_design_scores_gemma":[0.000129996,0.000004215017,0.00001991015,0.0000024114,0.00002202309,0.000001413328,0.0000139969,5.410394e-7,0.0001134669,3.741376e-7,0.9995022,0.0001894039],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0005309964,0.000004454649,0.000005443073,0.00005324326,0.0001675295,0.00009356166,0.9976844,0.00005521246,0.001405119],"genre_scores_gemma":[0.00002691983,0.00001863447,0.000001477172,0.0002373175,6.239277e-7,0.000002019641,0.9997124,3.079427e-9,5.834543e-7],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.03523566,"threshold_uncertainty_score":0.9938514,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00508377003613512,"score_gpt":0.1813591464457297,"score_spread":0.1762753764095946,"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."}}