{"id":"W6905725118","doi":"10.15468/dl.r7xzns","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); Order (exchange); 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":[0.001063758,0.001911383,0.001551133,0.004809874,0.001060151,0.002602889,0.002867971,0.001963243,0.180918],"category_scores_gemma":[0.006351067,0.0009880051,0.001134341,0.009394791,0.0004510515,0.002386078,0.002643821,0.002097542,0.23686],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00166914,"about_ca_system_score_gemma":0.002435963,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02275951,"about_ca_topic_score_gemma":0.03656455,"domain_scores_codex":[0.9989564,0.0001330232,0.0001314153,0.0003626326,0.0002429635,0.0001734454],"domain_scores_gemma":[0.997485,0.0007201451,0.0002263484,0.0006569214,0.000626467,0.0002850937],"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":[0.00002464855,0.000009716785,0.0003196278,0.0004576966,0.00001252577,0.0000140384,0.00002322714,0.0001006716,0.0001181916,0.0003904229,0.9972581,0.001271102],"study_design_scores_gemma":[0.00005991431,0.000006493024,0.001597231,0.0001706959,0.00001277123,0.00003550841,0.00006823102,0.0001228275,0.0001941903,0.0007015713,0.9970138,0.00001680866],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003616111,0.00002165145,0.00005054997,0.00003459539,0.00001153882,0.000005145324,0.9987462,0.000401101,0.0006930252],"genre_scores_gemma":[0.0001504413,0.00003003657,0.0002118332,0.00004407694,0.000003036399,0.00004266139,0.9988292,0.000191113,0.000497545],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.819082,"threshold_uncertainty_score":0.6052309,"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."}}