{"id":"W6962390826","doi":"10.15468/dl.t6n7gx","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); Field (mathematics); 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":[0.001187958,0.001979493,0.001699411,0.005054974,0.001065801,0.00299193,0.00303754,0.002070093,0.1951474],"category_scores_gemma":[0.007026885,0.001033818,0.001236381,0.01045114,0.0004629498,0.002542413,0.002795989,0.002140454,0.2584877],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001606729,"about_ca_system_score_gemma":0.002480405,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02137868,"about_ca_topic_score_gemma":0.03501795,"domain_scores_codex":[0.9988348,0.000155674,0.0001528363,0.0004085072,0.0002638703,0.0001843461],"domain_scores_gemma":[0.9971554,0.0008283544,0.0002515997,0.0007579651,0.0006960724,0.000310523],"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":[0.00002560454,0.000009519632,0.0003119753,0.0005104648,0.00001423912,0.00001278327,0.00002289151,0.0001001239,0.00009880785,0.0003814481,0.9972634,0.00124871],"study_design_scores_gemma":[0.00006221606,0.000006379053,0.001481689,0.0001802931,0.00001343997,0.00003049792,0.0000654293,0.0001157872,0.0001690948,0.0007876049,0.9970709,0.00001669304],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00002982258,0.00002146968,0.0000453376,0.00003191955,0.00001066325,0.000004732633,0.9988652,0.0003658409,0.0006249802],"genre_scores_gemma":[0.0001371658,0.00003143326,0.0001969691,0.00004341402,0.000003281395,0.00004383187,0.9988632,0.0001918114,0.0004888318],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8048526,"threshold_uncertainty_score":0.6528332,"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."}}