{"id":"W6887053144","doi":"10.15468/dl.o0z17j","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; Arctic; Matching (statistics); Atlas (anatomy); The arctic","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":[0.0009209066,0.002121174,0.00174181,0.005360527,0.0009937198,0.003035833,0.002905777,0.001940609,0.2014907],"category_scores_gemma":[0.006546468,0.0009019416,0.001489028,0.0109712,0.0004021567,0.00281406,0.002886042,0.00188022,0.298569],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001581309,"about_ca_system_score_gemma":0.002281733,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02317732,"about_ca_topic_score_gemma":0.03574315,"domain_scores_codex":[0.9988589,0.0001325976,0.0001572385,0.0004089848,0.0002532897,0.0001889604],"domain_scores_gemma":[0.9974043,0.0006432771,0.0002158603,0.0007110239,0.0007440147,0.0002816842],"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":[0.00003033648,0.000008623465,0.0003597492,0.0005401539,0.00001519742,0.00001341493,0.00002021535,0.0001174422,0.00008741719,0.0003171936,0.9966797,0.001810579],"study_design_scores_gemma":[0.00006750006,0.000008878027,0.001713917,0.0001858736,0.00001368053,0.00003198551,0.0000729179,0.0001786979,0.0001571424,0.0007158683,0.996837,0.00001640057],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003428484,0.00002661985,0.00004598972,0.00003619527,0.00001473251,0.000005659727,0.9986604,0.0005269016,0.0006491618],"genre_scores_gemma":[0.00013399,0.00003492425,0.0001957167,0.00004054558,0.000004341441,0.00003820211,0.9988106,0.0001769334,0.0005645992],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.7985094,"threshold_uncertainty_score":0.6740534,"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."}}