{"id":"W6887238122","doi":"10.15468/dl.uk9tkp","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); Set (abstract data type); Data set","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":[0.001086789,0.0020115,0.001642977,0.005054027,0.0009968375,0.002678832,0.002937738,0.002076125,0.1484541],"category_scores_gemma":[0.006210529,0.000963055,0.001172537,0.01005219,0.000456493,0.002315806,0.002491662,0.002009019,0.2203402],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001600657,"about_ca_system_score_gemma":0.002389384,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02192606,"about_ca_topic_score_gemma":0.03598823,"domain_scores_codex":[0.998857,0.0001587139,0.0001535354,0.0003956258,0.0002560204,0.0001791729],"domain_scores_gemma":[0.9973751,0.0007508737,0.0002497775,0.0006828833,0.0006554092,0.0002859453],"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":[0.00002768202,0.00001117351,0.0003813634,0.000517039,0.00001559212,0.00001496939,0.00002351721,0.0001253644,0.0001137977,0.0003703008,0.99708,0.001319283],"study_design_scores_gemma":[0.00007247072,0.000007913519,0.001893121,0.0001881972,0.00001485924,0.00003855246,0.00007528206,0.0001543193,0.0001904223,0.0007474402,0.996599,0.00001832053],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003756809,0.00002399158,0.00004358794,0.00003247092,0.00001080089,0.000004572712,0.998971,0.0003321054,0.0005440087],"genre_scores_gemma":[0.0001438725,0.00002921811,0.0001799455,0.00003753458,0.00000312808,0.00003731142,0.9990409,0.0001304841,0.0003976366],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8515459,"threshold_uncertainty_score":0.4966283,"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."}}