{"id":"W6924685248","doi":"10.15468/dl.m6pr2k","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); Software; 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":[0.001108739,0.001968554,0.001655682,0.005486633,0.001037678,0.002843948,0.002860761,0.002042488,0.1762426],"category_scores_gemma":[0.006825619,0.0009945054,0.001179995,0.01105986,0.0004634197,0.002454734,0.002687091,0.002060238,0.2403584],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001619418,"about_ca_system_score_gemma":0.002443683,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02273461,"about_ca_topic_score_gemma":0.0363811,"domain_scores_codex":[0.9988081,0.0001604362,0.0001610506,0.0004116576,0.000268627,0.0001900304],"domain_scores_gemma":[0.9970806,0.0008535889,0.0002768448,0.00076317,0.0007011431,0.0003245579],"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":[0.00002683958,0.000009955631,0.0003607163,0.000522765,0.00001442919,0.00001446818,0.00002467739,0.0001150632,0.0001029985,0.0003828877,0.9971184,0.001306689],"study_design_scores_gemma":[0.00006514608,0.000006928672,0.001757919,0.0001942374,0.00001404834,0.00003463553,0.00007375459,0.0001279961,0.0001613963,0.0007461951,0.9968003,0.00001731911],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003279127,0.0000215757,0.00004211976,0.00003124221,0.00001064076,0.0000043367,0.9989492,0.0003197853,0.0005883228],"genre_scores_gemma":[0.000140198,0.00003185631,0.0001845095,0.00004101455,0.00000326442,0.00003844233,0.9989286,0.0001598272,0.0004723203],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8237574,"threshold_uncertainty_score":0.5895901,"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."}}