{"id":"W6943360293","doi":"10.15468/dl.svyzbh","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); State (computer science); Confidentiality","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":[0.001018598,0.002045895,0.001501083,0.004821999,0.001005531,0.002566847,0.002819343,0.002194777,0.1581794],"category_scores_gemma":[0.005800816,0.0009247877,0.001167677,0.009256658,0.000468543,0.002471862,0.002609528,0.002143109,0.2208082],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001613786,"about_ca_system_score_gemma":0.002254226,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01970444,"about_ca_topic_score_gemma":0.03456774,"domain_scores_codex":[0.9989273,0.0001557986,0.0001307711,0.0003845957,0.0002286044,0.0001729247],"domain_scores_gemma":[0.9973211,0.0007566966,0.0002445706,0.0007462692,0.0006347206,0.0002966996],"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":[0.00002624748,0.0000119801,0.0003427001,0.0004374423,0.00001318523,0.00001425652,0.0000223511,0.0001302608,0.0001003845,0.0003900569,0.9973091,0.001202058],"study_design_scores_gemma":[0.00007179183,0.000007823314,0.001652077,0.0001608178,0.00001244089,0.00003508384,0.00007273978,0.000166383,0.0001822051,0.0008677894,0.9967529,0.00001787764],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00004249439,0.00002320799,0.00004720363,0.00003850702,0.0000125722,0.00000545535,0.9988058,0.0003695507,0.0006553123],"genre_scores_gemma":[0.000167293,0.00002919725,0.0002094246,0.00004663517,0.000003769131,0.00004384271,0.9988512,0.0001523037,0.0004963783],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8418207,"threshold_uncertainty_score":0.5291626,"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."}}