{"id":"W6924355611","doi":"10.15468/dl.k7o4jm","title":"Occurrence Download","year":2018,"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)","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":[0.001013193,0.001911836,0.001593873,0.005925368,0.0009942898,0.002560711,0.002879556,0.001987374,0.1511877],"category_scores_gemma":[0.006302118,0.0008586903,0.001155361,0.01144392,0.0004474944,0.002346693,0.002737093,0.002017659,0.2101914],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001638863,"about_ca_system_score_gemma":0.002659959,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02393638,"about_ca_topic_score_gemma":0.04318479,"domain_scores_codex":[0.9988074,0.0001569005,0.0001518731,0.0004059974,0.000274729,0.0002030804],"domain_scores_gemma":[0.9972365,0.0007079757,0.0002744256,0.0007155226,0.0007366408,0.0003289664],"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":[0.00002782944,0.00001053111,0.0003720124,0.0005016811,0.00001524057,0.00001409341,0.00002238534,0.0001082767,0.000108053,0.0003855736,0.9970797,0.001354684],"study_design_scores_gemma":[0.00006724409,0.000007965335,0.001989824,0.0001946509,0.00001497294,0.00003602741,0.00007189711,0.0001305469,0.0001833415,0.0007369295,0.9965501,0.00001652661],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004023092,0.00002691473,0.00003935718,0.00003237699,0.00001053562,0.000005028546,0.9989113,0.0003214815,0.0006127864],"genre_scores_gemma":[0.0001391738,0.00003039607,0.0001564682,0.00003836883,0.000003226658,0.00003443659,0.9990871,0.0001099366,0.0004008432],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8488123,"threshold_uncertainty_score":0.5057734,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01881883250631837,"score_gpt":0.2330296220854826,"score_spread":0.2142107895791642,"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."}}