{"id":"W6924680474","doi":"10.15468/dl.rue4w7","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":[0.001145535,0.002030985,0.001664785,0.005381481,0.001060123,0.002749005,0.002963612,0.002151375,0.1556869],"category_scores_gemma":[0.006672878,0.0009806509,0.00120699,0.01038004,0.0004749663,0.002387353,0.002620128,0.002082753,0.2154547],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001696117,"about_ca_system_score_gemma":0.002519744,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02347261,"about_ca_topic_score_gemma":0.03826604,"domain_scores_codex":[0.9987816,0.0001668963,0.0001639208,0.0004211189,0.0002726537,0.0001937535],"domain_scores_gemma":[0.9971188,0.0008463469,0.0002675813,0.0007492685,0.0006967895,0.0003211864],"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":[0.00002896325,0.00001143406,0.0003928018,0.000548829,0.00001553935,0.00001555956,0.00002467624,0.0001244779,0.0001176739,0.0003826377,0.9970386,0.001298789],"study_design_scores_gemma":[0.00007415634,0.000008060706,0.001934073,0.0002041894,0.00001557213,0.00004108144,0.00007945509,0.0001548955,0.0001891466,0.000756899,0.9965238,0.00001855615],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003730019,0.00002405648,0.00004317182,0.00003293809,0.00001098411,0.000004755977,0.9989582,0.000331821,0.0005566347],"genre_scores_gemma":[0.0001400927,0.00003003864,0.0001812797,0.00003975638,0.000003020319,0.00003683936,0.9990409,0.0001330545,0.0003949154],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8443131,"threshold_uncertainty_score":0.5208244,"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."}}