{"id":"W6905925430","doi":"10.15468/dl.pngmn9","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); Minor (academic)","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":[0.0009043107,0.001734263,0.001377123,0.00429112,0.0008987855,0.002271775,0.002548028,0.00185715,0.1550283],"category_scores_gemma":[0.005554045,0.000789137,0.001102616,0.008236008,0.0003937465,0.002343757,0.002360749,0.001798168,0.2113109],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00152006,"about_ca_system_score_gemma":0.002106425,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02042747,"about_ca_topic_score_gemma":0.03461633,"domain_scores_codex":[0.9990541,0.0001229054,0.000118266,0.0003352567,0.000216514,0.0001528713],"domain_scores_gemma":[0.997871,0.0005616343,0.0002003462,0.0005723693,0.0005554088,0.0002392001],"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":[0.00002910508,0.00001057045,0.0004182293,0.0004471275,0.00001383547,0.00001466068,0.00002216932,0.0001375925,0.0001196697,0.0004027471,0.9968059,0.00157841],"study_design_scores_gemma":[0.00006028065,0.000007902495,0.001905488,0.0001770666,0.00001276258,0.00003413199,0.00007334445,0.0001779239,0.0002047439,0.0008510413,0.9964786,0.00001678752],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004457588,0.00002305515,0.00005340002,0.00003432964,0.00001185808,0.000005348736,0.9986911,0.0004285447,0.0007076936],"genre_scores_gemma":[0.0001756094,0.00002627903,0.0002194122,0.00004091288,0.00000330489,0.00003596905,0.9988775,0.0001468431,0.0004740987],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8449717,"threshold_uncertainty_score":0.5186214,"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."}}