{"id":"W6924324024","doi":"10.15468/dl.m3gq2d","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":[0.001132839,0.002005372,0.001666526,0.005244177,0.001057243,0.002738226,0.002938636,0.002067287,0.1737855],"category_scores_gemma":[0.006544106,0.0009842573,0.001165801,0.01024177,0.0004607302,0.00239607,0.002749098,0.0020962,0.2326818],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001681612,"about_ca_system_score_gemma":0.002441352,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02267933,"about_ca_topic_score_gemma":0.03580862,"domain_scores_codex":[0.9988816,0.0001460794,0.0001433547,0.0003832333,0.000259439,0.0001862735],"domain_scores_gemma":[0.9973307,0.0007638977,0.0002532012,0.000698667,0.000646802,0.0003067848],"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":[0.00002774339,0.00001042322,0.0003478536,0.0005014164,0.00001451731,0.00001397173,0.00002442762,0.0001131433,0.000112283,0.0003900469,0.9970734,0.001370674],"study_design_scores_gemma":[0.00006735756,0.00000706672,0.001680738,0.0001853528,0.00001398444,0.00003426068,0.00006958664,0.0001356238,0.0001810528,0.0007674383,0.9968399,0.00001755557],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0000356928,0.0000238672,0.00004594985,0.00003406734,0.00001153603,0.000004801042,0.9988105,0.0003974593,0.0006361392],"genre_scores_gemma":[0.0001475145,0.00003122834,0.0002029792,0.0000426892,0.000003155226,0.00004025933,0.998902,0.0001809668,0.0004491647],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8262145,"threshold_uncertainty_score":0.5813704,"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."}}