{"id":"W6962036984","doi":"10.15468/dl.m2g98j","title":"Occurrence Download","year":2025,"lang":"en","type":"dataset","venue":"Global Biodiversity Information Facility","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Download; Matching (statistics); Range (aeronautics); Data set; Order (exchange)","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":[0.0009423582,0.001849105,0.001439773,0.005320178,0.0009229353,0.002425895,0.002640337,0.001872936,0.1578312],"category_scores_gemma":[0.005815922,0.0008440414,0.001117362,0.0100663,0.0004189334,0.00220574,0.002430971,0.001816696,0.2153105],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001638113,"about_ca_system_score_gemma":0.002491023,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02531333,"about_ca_topic_score_gemma":0.04195946,"domain_scores_codex":[0.9989298,0.0001460821,0.0001424611,0.0003502275,0.000246267,0.000185206],"domain_scores_gemma":[0.9974681,0.0006498634,0.0002472904,0.0006550422,0.0006735641,0.000306053],"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":[0.00002967449,0.00001025029,0.000358323,0.000494327,0.00001401439,0.00001352141,0.00002043738,0.0001064946,0.0001066318,0.000374603,0.9970372,0.001434527],"study_design_scores_gemma":[0.00006183778,0.000007142845,0.001868101,0.0001816779,0.00001302201,0.00003347099,0.00006266912,0.0001166874,0.0001764666,0.0006860137,0.9967772,0.0000157393],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003992353,0.00002640924,0.00003758396,0.00003287263,0.0000101332,0.000004995639,0.998847,0.0003148206,0.0006862081],"genre_scores_gemma":[0.0001529396,0.0000330849,0.0001619947,0.00004316468,0.000003239853,0.00003400095,0.9989796,0.0001184484,0.0004735965],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8421688,"threshold_uncertainty_score":0.527998,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01437393559742932,"score_gpt":0.2320798631925623,"score_spread":0.217705927595133,"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."}}