{"id":"W6887306555","doi":"10.15468/dl.yfyfgy","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":"Matching (statistics); Download; Alien; Range (aeronautics)","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":[0.0008982448,0.002062239,0.001574716,0.004915448,0.0009780192,0.002424246,0.002722176,0.001967842,0.1598051],"category_scores_gemma":[0.005662711,0.0009127646,0.001203124,0.00967138,0.0004488202,0.002168436,0.002500509,0.001850433,0.2146812],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001498124,"about_ca_system_score_gemma":0.002257093,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02113342,"about_ca_topic_score_gemma":0.03459003,"domain_scores_codex":[0.9990344,0.000129465,0.0001186372,0.0003493243,0.0002044331,0.000163777],"domain_scores_gemma":[0.9977903,0.000630428,0.0002163452,0.0005765959,0.0005369099,0.0002493509],"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":[0.0000331112,0.00001179063,0.0004029092,0.0006118515,0.0000158318,0.00001575393,0.00002426028,0.0001422768,0.0001393509,0.0003914236,0.9966276,0.001583839],"study_design_scores_gemma":[0.00007387842,0.000009690832,0.001813469,0.0001849094,0.00001510668,0.00003736846,0.00006650494,0.0001545184,0.0001969654,0.0007876894,0.9966415,0.00001831293],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004678042,0.00002936268,0.00004448486,0.00003306348,0.00001219755,0.000005252718,0.9987879,0.0004081636,0.0006326808],"genre_scores_gemma":[0.00016924,0.00003622387,0.0002123555,0.00004678959,0.00000349892,0.00004458082,0.9988418,0.0001643451,0.0004812539],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8401949,"threshold_uncertainty_score":0.5346012,"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."}}