{"id":"W6887144840","doi":"10.15468/dl.ueceun","title":"Occurrence Download","year":2022,"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); Alien; The Internet","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":[0.001041944,0.001946682,0.001600877,0.004846653,0.001075523,0.002770615,0.002861252,0.002144315,0.1756175],"category_scores_gemma":[0.006734654,0.0009354923,0.001255632,0.009358197,0.000454175,0.00269164,0.002681597,0.002164313,0.248369],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001658117,"about_ca_system_score_gemma":0.002472456,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02068226,"about_ca_topic_score_gemma":0.03443117,"domain_scores_codex":[0.9988973,0.0001591585,0.0001339082,0.0004013901,0.0002341726,0.0001739353],"domain_scores_gemma":[0.9972451,0.0008080426,0.0002273825,0.0007462277,0.0006830935,0.0002901588],"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":[0.00002549382,0.000010897,0.0003301759,0.0004906135,0.00001222161,0.00001299321,0.00002124031,0.0001088157,0.00009237094,0.0003597678,0.9971769,0.001358487],"study_design_scores_gemma":[0.00006430502,0.000007909345,0.001490722,0.0001936063,0.00001236511,0.00003075071,0.00007099192,0.0001490615,0.0001642017,0.0008578182,0.9969413,0.00001704597],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003684083,0.00002694636,0.000046332,0.00004375516,0.0000137431,0.000006227774,0.9987149,0.0004127554,0.0006985234],"genre_scores_gemma":[0.0001508439,0.00003657899,0.0002180013,0.00005526778,0.000004051149,0.00005052424,0.9987587,0.0001725353,0.0005534815],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8243824,"threshold_uncertainty_score":0.5874993,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01850871640220096,"score_gpt":0.2277224731265546,"score_spread":0.2092137567243537,"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."}}