{"id":"W6905801320","doi":"10.15468/dl.cegykf","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; Set (abstract data type)","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":[0.0009177642,0.001848464,0.001565313,0.005394004,0.001016946,0.00264932,0.002630271,0.002012166,0.1816889],"category_scores_gemma":[0.006616897,0.0008643352,0.001157331,0.01030459,0.0004325537,0.002349264,0.002566518,0.001914988,0.2359264],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001663789,"about_ca_system_score_gemma":0.002461881,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0253707,"about_ca_topic_score_gemma":0.03830695,"domain_scores_codex":[0.9989366,0.0001392236,0.000139946,0.0003649437,0.000239353,0.0001800141],"domain_scores_gemma":[0.9973657,0.0007897477,0.0002384101,0.0006446471,0.000677571,0.0002839523],"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":[0.00002759909,0.00000972026,0.0003667938,0.0005676151,0.00001344391,0.00001544869,0.00002634242,0.0001155565,0.0001036415,0.0003910643,0.9969118,0.001451064],"study_design_scores_gemma":[0.00006225521,0.000007623766,0.001756096,0.0002145539,0.00001436956,0.00003718705,0.00008365196,0.000142725,0.0001688883,0.0007525528,0.9967425,0.00001760021],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003865364,0.00002827928,0.00004349254,0.00003816915,0.00001253828,0.000004818207,0.9988087,0.0003839397,0.0006414362],"genre_scores_gemma":[0.0001689713,0.00003981253,0.0002045018,0.00004867714,0.000003703135,0.00003985393,0.9987588,0.0001699957,0.0005655796],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8183111,"threshold_uncertainty_score":0.6078099,"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."}}