{"id":"W6962404892","doi":"10.15468/dl.z7rys2","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; Set (abstract data type)","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":[0.0009036784,0.001869509,0.001492694,0.00474894,0.0009717789,0.002534976,0.00270594,0.001872264,0.1720414],"category_scores_gemma":[0.005807345,0.0008723634,0.001142381,0.009429753,0.0004148997,0.002219222,0.002465041,0.001872216,0.2321579],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00156196,"about_ca_system_score_gemma":0.002436711,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02716766,"about_ca_topic_score_gemma":0.0429256,"domain_scores_codex":[0.9990563,0.0001234743,0.0001132195,0.000330188,0.0002152966,0.0001615069],"domain_scores_gemma":[0.9977361,0.0006441483,0.0001957237,0.000573025,0.0005919072,0.0002589579],"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":[0.00002453652,0.000009788367,0.0003503447,0.0004286181,0.00001290582,0.00001455648,0.00002141349,0.0001140081,0.00010593,0.0003381156,0.9972012,0.001378576],"study_design_scores_gemma":[0.00006452802,0.000007709699,0.001925567,0.0001801535,0.00001429752,0.00003761805,0.00007846528,0.0001718261,0.0002098378,0.0008123616,0.9964795,0.0000180996],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004582366,0.00002716029,0.00005436891,0.00003996013,0.00001263372,0.000005709128,0.9985718,0.000502162,0.0007404145],"genre_scores_gemma":[0.0001857318,0.00003379217,0.0002126465,0.00004688259,0.000003827035,0.00004426234,0.9987295,0.0001940881,0.0005492302],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8279586,"threshold_uncertainty_score":0.5755357,"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."}}