{"id":"W6943623876","doi":"10.15468/dl.xwwx54","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); 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":[0.001006884,0.001975158,0.0016679,0.005288674,0.0009598786,0.002619316,0.00286485,0.002044261,0.1613711],"category_scores_gemma":[0.005984334,0.0009398835,0.001223211,0.009853745,0.0004495374,0.002262262,0.002675489,0.001965938,0.2131888],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001548971,"about_ca_system_score_gemma":0.002284144,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01932281,"about_ca_topic_score_gemma":0.03150818,"domain_scores_codex":[0.9989352,0.0001420071,0.0001429378,0.0003654635,0.0002330025,0.0001814079],"domain_scores_gemma":[0.9975886,0.0006599938,0.0002350759,0.0006423907,0.0005849692,0.000288857],"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":[0.0000332682,0.00001149509,0.0003820017,0.0006839716,0.00001837435,0.00001636348,0.00002412264,0.0001230998,0.000151159,0.0004106435,0.9966884,0.001457053],"study_design_scores_gemma":[0.00008037877,0.000008529411,0.001913258,0.0002112188,0.00001654638,0.00003828563,0.00006432614,0.0001284972,0.0002119533,0.0007513007,0.9965577,0.00001804642],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003811619,0.00002777032,0.00003966167,0.00003101334,0.00001043326,0.000005304639,0.9988906,0.0003572568,0.0005999592],"genre_scores_gemma":[0.0001557092,0.00003450844,0.0001721042,0.00004595488,0.000003229451,0.00004023521,0.9990197,0.000139716,0.0003887979],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8386289,"threshold_uncertainty_score":0.5398402,"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."}}