{"id":"W6924895237","doi":"10.15468/dl.qnytz5","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); Alien; The Internet","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":[0.000952951,0.001963214,0.001520135,0.004836969,0.0009506788,0.00250364,0.002658828,0.002053387,0.1681115],"category_scores_gemma":[0.005963781,0.0008854737,0.001227504,0.008905941,0.0004416716,0.002223372,0.002473095,0.001907445,0.2323024],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001524408,"about_ca_system_score_gemma":0.002219828,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02210814,"about_ca_topic_score_gemma":0.0346757,"domain_scores_codex":[0.9990605,0.0001302128,0.0001097046,0.0003361833,0.0002074821,0.0001560378],"domain_scores_gemma":[0.9976104,0.0007340888,0.0002023522,0.0006056522,0.000575191,0.0002721667],"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":[0.00002557074,0.00001107828,0.000377732,0.0004953844,0.00001322991,0.00001443415,0.00002214787,0.0001218858,0.0001065492,0.0003149708,0.9971095,0.001387572],"study_design_scores_gemma":[0.0000749633,0.000009363976,0.002000035,0.000211921,0.00001513325,0.00003903533,0.00008044943,0.000181597,0.0001882752,0.0007839244,0.9963973,0.0000179672],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0000450275,0.00002894264,0.00004477315,0.00004056259,0.00001313376,0.000005855332,0.9987485,0.0004184701,0.0006546421],"genre_scores_gemma":[0.0001812938,0.00003612188,0.0002061165,0.0000541337,0.000004077403,0.00004767224,0.9987851,0.0001681283,0.0005173197],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8318886,"threshold_uncertainty_score":0.5623889,"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."}}