{"id":"W6962155398","doi":"10.15468/dl.kcvkl7","title":"Occurrence Download","year":2019,"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); Real world data; Data access","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":[0.0008830426,0.001878901,0.001559876,0.00571138,0.001033228,0.003063162,0.002641957,0.00198407,0.180128],"category_scores_gemma":[0.006251147,0.000898771,0.001262337,0.01168901,0.0004182423,0.002602336,0.002726135,0.002098758,0.2602476],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00160574,"about_ca_system_score_gemma":0.0024245,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01790785,"about_ca_topic_score_gemma":0.02937036,"domain_scores_codex":[0.9988568,0.0001416329,0.0001630306,0.000411521,0.0002396036,0.0001874818],"domain_scores_gemma":[0.9974582,0.0007066001,0.0002477182,0.0006550857,0.0006444546,0.0002880589],"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":[0.00002980583,0.000009761352,0.0003887728,0.0005947996,0.00001421735,0.00001595078,0.0000244671,0.0001094774,0.0001068903,0.0004304755,0.9965482,0.001727104],"study_design_scores_gemma":[0.00005161064,0.000006149492,0.001374279,0.0001823941,0.00001179545,0.00003306226,0.0000683865,0.0001194099,0.0001471775,0.0007250996,0.9972656,0.00001510678],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0000365523,0.0000299772,0.00004627624,0.00003943672,0.00001480215,0.000004976103,0.9986475,0.0003839973,0.0007964804],"genre_scores_gemma":[0.0001612669,0.0000442829,0.0002166337,0.0000528386,0.000004502723,0.00004113739,0.9986724,0.000170952,0.0006360412],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.819872,"threshold_uncertainty_score":0.6025883,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0225412765836933,"score_gpt":0.2352696232258381,"score_spread":0.2127283466421448,"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."}}