{"id":"W6924743107","doi":"10.15468/dl.sbzbnn","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)","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":[0.001093153,0.001990017,0.001637827,0.005291454,0.001058344,0.002792418,0.002926686,0.002060215,0.1728521],"category_scores_gemma":[0.006457552,0.00100145,0.001173051,0.01034126,0.000466518,0.002501413,0.002685433,0.002100443,0.2307999],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001647079,"about_ca_system_score_gemma":0.002468098,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02298152,"about_ca_topic_score_gemma":0.03817869,"domain_scores_codex":[0.9988558,0.0001547809,0.0001525876,0.0003947941,0.0002567306,0.000185389],"domain_scores_gemma":[0.9972007,0.0008071545,0.0002589854,0.0007403138,0.000672362,0.0003204509],"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":[0.00002740583,0.00001014045,0.0003426891,0.0005076546,0.00001407976,0.00001465762,0.00002488132,0.0001092752,0.0001066191,0.0003921416,0.9971938,0.001256649],"study_design_scores_gemma":[0.00006698882,0.00000693823,0.001723299,0.0001864629,0.00001364683,0.00003661,0.00007459706,0.0001298185,0.0001697534,0.0007450141,0.9968293,0.00001747481],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.000035317,0.00002282317,0.00004590497,0.00003309562,0.00001129396,0.000004709971,0.9988565,0.0003625457,0.0006277144],"genre_scores_gemma":[0.0001434326,0.00003082988,0.0001932571,0.00004162444,0.000003190125,0.00003749029,0.9989254,0.0001655917,0.0004591394],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8271479,"threshold_uncertainty_score":0.5782478,"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."}}