{"id":"W6886996617","doi":"10.15468/dl.h7badg","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); Real world data","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":[0.001012803,0.001833892,0.001489049,0.00593346,0.000923105,0.002435335,0.002519506,0.001777404,0.1611842],"category_scores_gemma":[0.00591759,0.0008615851,0.001126747,0.01040881,0.0004287895,0.002281853,0.002668337,0.001789617,0.2173183],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001490445,"about_ca_system_score_gemma":0.002317896,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01963173,"about_ca_topic_score_gemma":0.03559441,"domain_scores_codex":[0.9988797,0.0001490991,0.0001466317,0.0003864052,0.0002491391,0.0001891133],"domain_scores_gemma":[0.9973466,0.0006991474,0.0002658155,0.00070508,0.0006594167,0.0003238375],"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":[0.00003031437,0.0000108538,0.0004023889,0.0005674759,0.00001576139,0.00001525793,0.00002410427,0.0001160966,0.0001302755,0.0004057647,0.9966782,0.001603495],"study_design_scores_gemma":[0.00005949824,0.000008623419,0.002067974,0.0001906451,0.00001388768,0.0000372812,0.00007069002,0.0001264708,0.0001905673,0.0007427591,0.9964748,0.00001677124],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004462838,0.00002786872,0.00004409319,0.00003107901,0.00001148973,0.000005385421,0.9988439,0.0003482022,0.0006432521],"genre_scores_gemma":[0.0001583452,0.00003259065,0.0001870773,0.00004128272,0.00000360637,0.0000371199,0.9989702,0.0001281545,0.0004417444],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8388158,"threshold_uncertainty_score":0.5392148,"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."}}