{"id":"W6887026720","doi":"10.15468/dl.kecmvh","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); Data set; UniProt","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":[0.00105014,0.001991032,0.001652285,0.004906993,0.001064873,0.002703663,0.00288525,0.002168307,0.1502044],"category_scores_gemma":[0.006279188,0.0008974509,0.001185245,0.00954462,0.0004468892,0.002495593,0.002556069,0.002114998,0.2180614],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001611431,"about_ca_system_score_gemma":0.002320864,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0201178,"about_ca_topic_score_gemma":0.03410342,"domain_scores_codex":[0.9988732,0.0001588713,0.000142916,0.00039693,0.0002463949,0.0001817977],"domain_scores_gemma":[0.9974107,0.0007430308,0.0002365176,0.0006830796,0.0006312873,0.0002954246],"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":[0.00003051127,0.00001191907,0.0003786016,0.0005207808,0.00001409371,0.00001475965,0.00002127734,0.0001232456,0.0001177792,0.000375078,0.9970298,0.00136217],"study_design_scores_gemma":[0.00007147287,0.000008357621,0.001790836,0.000190044,0.00001405917,0.0000364481,0.00007217081,0.0001629863,0.0001979113,0.0008214647,0.9966159,0.00001830802],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0000416176,0.00002673984,0.00004669439,0.00003549038,0.00001173843,0.000005129978,0.9988347,0.0003751176,0.000622882],"genre_scores_gemma":[0.0001571153,0.00003124594,0.0001968103,0.0000429855,0.00000351601,0.00004074123,0.9989362,0.0001370917,0.000454179],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8497956,"threshold_uncertainty_score":0.5024838,"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."}}