{"id":"W6905872909","doi":"10.15468/dl.mk9zdk","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); Ursus; Set (abstract data type)","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":[0.001001595,0.002011705,0.001667472,0.005663098,0.001017327,0.002743446,0.00292763,0.002026159,0.1696803],"category_scores_gemma":[0.006142695,0.0009072748,0.001236755,0.01091271,0.0004358414,0.002376185,0.002772231,0.001972676,0.2420129],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001661664,"about_ca_system_score_gemma":0.002496046,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02246557,"about_ca_topic_score_gemma":0.03667371,"domain_scores_codex":[0.9988682,0.0001469765,0.0001558758,0.000383443,0.0002495317,0.0001958868],"domain_scores_gemma":[0.9974332,0.0006598438,0.0002486088,0.0006706051,0.0006835382,0.0003041676],"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":[0.00003186687,0.00001007088,0.0003322952,0.0005725617,0.00001617145,0.00001443708,0.0000214348,0.0001040271,0.0001172427,0.0003871559,0.996937,0.001455783],"study_design_scores_gemma":[0.00006573781,0.000007048634,0.001560272,0.0001881791,0.00001408956,0.00003247248,0.00005635872,0.0001128505,0.000178103,0.0007584495,0.9970099,0.00001652389],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003294788,0.00002819322,0.00003857851,0.00003186567,0.00001079254,0.000004956595,0.9988467,0.000363776,0.0006422205],"genre_scores_gemma":[0.0001355477,0.00003597873,0.0001660371,0.00004520519,0.000003405042,0.00003534693,0.9989958,0.0001434072,0.0004392608],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8303198,"threshold_uncertainty_score":0.567637,"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."}}