{"id":"W6943266387","doi":"10.15468/dl.kr7jzy","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":[0.0009027304,0.00194838,0.001541247,0.004804462,0.0009775637,0.002539341,0.00274457,0.002037476,0.1556223],"category_scores_gemma":[0.00631248,0.0008778442,0.0012062,0.009334391,0.0004272356,0.002287122,0.002542576,0.001948283,0.2145224],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001553765,"about_ca_system_score_gemma":0.002294609,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02308787,"about_ca_topic_score_gemma":0.03585654,"domain_scores_codex":[0.9990007,0.0001303007,0.0001263604,0.0003524892,0.0002258021,0.0001643606],"domain_scores_gemma":[0.9976234,0.000695802,0.0002107867,0.0006170878,0.0005854758,0.00026746],"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":[0.0000281028,0.00001074863,0.0003858152,0.0004978935,0.00001409148,0.00001537833,0.00002311417,0.0001309752,0.0001018616,0.0003403035,0.997003,0.001448757],"study_design_scores_gemma":[0.00007356254,0.000008732814,0.001982281,0.0002008315,0.00001504861,0.00004104924,0.00008017269,0.0001974263,0.0001891792,0.000771349,0.9964228,0.00001755111],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004551951,0.00002846814,0.00004795404,0.00003952176,0.00001277644,0.000005470925,0.9987565,0.0004670493,0.0005966239],"genre_scores_gemma":[0.0001720214,0.00003396833,0.0002013735,0.00004519013,0.000003673018,0.00004181313,0.998884,0.0001618162,0.0004561047],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8443777,"threshold_uncertainty_score":0.5206085,"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."}}