{"id":"W6962623291","doi":"10.15468/dl.xtunwh","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); Software; 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":[0.001114468,0.001902746,0.001658629,0.005459847,0.001033174,0.002854789,0.002915548,0.001957683,0.1917614],"category_scores_gemma":[0.006655788,0.0009929597,0.001129323,0.01096867,0.0004571544,0.002429416,0.002690047,0.002020286,0.2503564],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001530866,"about_ca_system_score_gemma":0.002395767,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01975505,"about_ca_topic_score_gemma":0.03241691,"domain_scores_codex":[0.9988942,0.0001489786,0.0001462322,0.0003811027,0.0002503667,0.0001791389],"domain_scores_gemma":[0.9973251,0.0007770986,0.0002500147,0.0006910623,0.0006538,0.0003029179],"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":[0.00002637212,0.000009309038,0.0003267431,0.000533057,0.00001425256,0.00001389574,0.00002360612,0.0001047928,0.0001062773,0.0003908123,0.9970493,0.001401616],"study_design_scores_gemma":[0.00005973751,0.000006209933,0.00151654,0.0001868428,0.00001346525,0.00003281281,0.00006725141,0.0001104581,0.0001600735,0.000732915,0.9970977,0.00001587481],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003215433,0.00002463945,0.00004722123,0.00003153822,0.00001086904,0.00000465076,0.9988456,0.0003578712,0.0006454627],"genre_scores_gemma":[0.0001462814,0.00003466074,0.0001988918,0.0000419547,0.00000340336,0.00004054942,0.9988567,0.0001851434,0.0004924981],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8082386,"threshold_uncertainty_score":0.6415057,"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."}}