{"id":"W6943688716","doi":"10.15468/dl.zycufg","title":"Occurrence Download","year":2019,"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); 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":[0.001063759,0.00207981,0.001704507,0.005482924,0.001086653,0.002911611,0.003091706,0.002145028,0.1624117],"category_scores_gemma":[0.006234248,0.0009606911,0.001232299,0.01069878,0.0004741484,0.002604493,0.002735304,0.002155663,0.2354992],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001713431,"about_ca_system_score_gemma":0.002413588,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02104207,"about_ca_topic_score_gemma":0.03407729,"domain_scores_codex":[0.9988508,0.0001522554,0.0001513235,0.0004063016,0.0002528364,0.0001864615],"domain_scores_gemma":[0.9975144,0.0007101143,0.000230844,0.0006641108,0.0005966523,0.0002838428],"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":[0.00002925922,0.00001045573,0.0003384829,0.0005402969,0.0000153906,0.00001570852,0.00002445322,0.0001142825,0.0001169401,0.0004536546,0.9969596,0.001381458],"study_design_scores_gemma":[0.00006138818,0.000006547822,0.001474692,0.0001790411,0.00001371291,0.00003593422,0.00006588866,0.0001329937,0.0001807842,0.0008360572,0.9969962,0.00001686492],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003527089,0.00002861373,0.00004824901,0.00003480523,0.00001235147,0.000004703629,0.9987624,0.0004009022,0.0006728695],"genre_scores_gemma":[0.0001413126,0.00003449057,0.0001856586,0.00004165856,0.000003331091,0.00003509666,0.9989493,0.0001638524,0.0004452566],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8375883,"threshold_uncertainty_score":0.5433214,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0225412765836933,"score_gpt":0.2352696232258381,"score_spread":0.2127283466421448,"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."}}