{"id":"W7105659524","doi":"10.15468/dl.2vgu7m","title":"Occurrence Download","year":2025,"lang":"","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":[0.0009333551,0.001692746,0.001479629,0.0051373,0.0009317869,0.002434911,0.002565869,0.001710406,0.164589],"category_scores_gemma":[0.005589877,0.0008034751,0.001040546,0.01092983,0.0004148259,0.002075359,0.0023841,0.001770351,0.2098278],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001691927,"about_ca_system_score_gemma":0.002849197,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03607111,"about_ca_topic_score_gemma":0.05961332,"domain_scores_codex":[0.9990246,0.0001226139,0.0001183102,0.0003272284,0.0002271328,0.00018016],"domain_scores_gemma":[0.997554,0.0006229766,0.0002422786,0.0005921042,0.0006916209,0.0002970425],"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":[0.0000260546,0.000008918978,0.00042444,0.0004952484,0.000015134,0.00001333341,0.00002315102,0.000119878,0.0001067768,0.0003966405,0.9969336,0.001436872],"study_design_scores_gemma":[0.00005764778,0.000006808467,0.002226867,0.0001911522,0.00001425763,0.00002863428,0.00007818713,0.0001197379,0.0001778398,0.0007444491,0.9963372,0.0000172035],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003197196,0.00001980969,0.000032212,0.00002509915,0.000008517319,0.000003798961,0.9990597,0.0002609546,0.0005580272],"genre_scores_gemma":[0.0001544357,0.00002793451,0.0001560322,0.00003615532,0.000002964217,0.00003099447,0.9990216,0.0001155062,0.000454398],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.835411,"threshold_uncertainty_score":0.5506049,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01434536157882973,"score_gpt":0.2311093459842124,"score_spread":0.2167639844053826,"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."}}