{"id":"W6905714216","doi":"10.15468/dl.f9uqgy","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; Column (typography)","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":[0.0009965872,0.001907566,0.001594767,0.005155215,0.0009454632,0.002524788,0.002756082,0.0019476,0.1581897],"category_scores_gemma":[0.006105609,0.0008977319,0.001125144,0.009999885,0.0004328173,0.002172314,0.002433335,0.001919093,0.2083448],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001579802,"about_ca_system_score_gemma":0.002393547,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0222417,"about_ca_topic_score_gemma":0.03726525,"domain_scores_codex":[0.9989699,0.0001419058,0.0001364303,0.00035302,0.0002273084,0.0001713639],"domain_scores_gemma":[0.9975526,0.0007062182,0.0002369642,0.0006050735,0.0006067273,0.0002924753],"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":[0.00002995176,0.00001108343,0.0003732179,0.0005984805,0.00001588616,0.00001490133,0.00002317974,0.0001211855,0.0001141956,0.0004001368,0.9969318,0.001365942],"study_design_scores_gemma":[0.00007714987,0.000008396415,0.00189577,0.0002170327,0.00001584633,0.00003620621,0.00007182537,0.0001360628,0.0001877563,0.0007538887,0.9965826,0.00001751262],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003740846,0.00002627001,0.0000371484,0.00003076065,0.000009716727,0.000004698173,0.9989939,0.0002957717,0.0005642514],"genre_scores_gemma":[0.0001535094,0.00003365495,0.0001677354,0.0000410096,0.000003132739,0.00003739551,0.9990175,0.0001226017,0.0004235252],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8418103,"threshold_uncertainty_score":0.5291973,"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."}}