{"id":"W6886911105","doi":"10.15468/dl.azcfb8","title":"Occurrence Download","year":2024,"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); Confidentiality","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":[0.0009748752,0.001904536,0.001550293,0.00495002,0.0009744495,0.00276428,0.002806469,0.001974551,0.1701461],"category_scores_gemma":[0.006504029,0.0009600889,0.001181694,0.00979812,0.000440764,0.002349445,0.002518585,0.002011496,0.2279455],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00163386,"about_ca_system_score_gemma":0.002377387,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02263504,"about_ca_topic_score_gemma":0.0348735,"domain_scores_codex":[0.9989717,0.0001414084,0.0001333718,0.0003551111,0.000231737,0.0001667127],"domain_scores_gemma":[0.9975575,0.0007244339,0.0002214269,0.0006296803,0.0005910893,0.0002758208],"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":[0.00002536897,0.00001017308,0.0003290541,0.0004446752,0.00001276209,0.00001285542,0.00002085712,0.0001123359,0.00008208361,0.0003277185,0.9972362,0.001386003],"study_design_scores_gemma":[0.00007528489,0.000007568511,0.00165422,0.0001917805,0.00001383386,0.00003738413,0.0000751833,0.000180929,0.0001718083,0.000809221,0.9967659,0.00001684575],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003876156,0.00002590003,0.00004511182,0.00004033418,0.00001201375,0.000005609929,0.9987902,0.0004233923,0.0006187377],"genre_scores_gemma":[0.0001624135,0.00003533055,0.0002133126,0.00004668692,0.000003856027,0.00004757443,0.9988139,0.0001702968,0.0005065929],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8298539,"threshold_uncertainty_score":0.5691954,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01708767307206114,"score_gpt":0.2335971948231368,"score_spread":0.2165095217510757,"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."}}