{"id":"W6905719134","doi":"10.15468/dl.prs2ka","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":[0.001127628,0.001946681,0.001668843,0.005322147,0.001014196,0.002710812,0.00285352,0.002083941,0.1581572],"category_scores_gemma":[0.00667912,0.0009525084,0.001176093,0.01016387,0.0004668127,0.002347325,0.002585826,0.00202778,0.2199467],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001642077,"about_ca_system_score_gemma":0.002495748,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02224681,"about_ca_topic_score_gemma":0.03537864,"domain_scores_codex":[0.9988284,0.0001592489,0.0001615018,0.0004051663,0.0002615227,0.0001843339],"domain_scores_gemma":[0.9971734,0.0008367906,0.000275215,0.0007156009,0.000694105,0.000304868],"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":[0.00002931027,0.0000108911,0.0004029301,0.0005762756,0.00001534908,0.00001609242,0.00002496059,0.0001261649,0.0001125264,0.0003825748,0.9969613,0.001341557],"study_design_scores_gemma":[0.00007194798,0.000007805572,0.001956331,0.0002088733,0.00001533981,0.00004016139,0.00008020929,0.0001515416,0.0001836373,0.0007659342,0.9964994,0.00001871085],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0000355147,0.00002313839,0.00004157648,0.00003232738,0.00001063418,0.000004807419,0.9989951,0.0003209773,0.0005359538],"genre_scores_gemma":[0.0001520875,0.00003121485,0.000192325,0.00004072978,0.000003309462,0.00004164789,0.9989783,0.0001395122,0.0004209474],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8418428,"threshold_uncertainty_score":0.5290885,"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."}}