{"id":"W6894303284","doi":"10.5683/sp2/1vwznc","title":"University of Victoria Herbarium Specimen Database","year":2018,"lang":"en","type":"dataset","venue":"Borealis","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria","funders":"","keywords":"Herbarium; Darwin (ADL); Metadata; Genetic resources; Lichen; The arctic; Arctic","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00147743,0.0005912604,0.0008438078,0.007069075,0.0009576178,0.0015562,0.001557533,0.0006435896,0.0899215],"category_scores_gemma":[0.007443908,0.0005459426,0.0003217879,0.007937547,0.0003874477,0.001245347,0.001974439,0.0007510136,0.06176039],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002482768,"about_ca_system_score_gemma":0.004303552,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04680483,"about_ca_topic_score_gemma":0.09420668,"domain_scores_codex":[0.9985976,0.0001262078,0.0002519746,0.0003484915,0.0005077277,0.0001680313],"domain_scores_gemma":[0.9944199,0.0008942346,0.0007973951,0.001078271,0.002292592,0.0005174912],"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":[0.00006541608,0.00001506295,0.002221639,0.001105943,0.00001847163,0.00005006196,0.0001391972,0.0001312535,0.0004783027,0.001240606,0.9846779,0.009856267],"study_design_scores_gemma":[0.00001578137,0.000004393695,0.009242469,0.0001813966,0.000008960642,0.00005160729,0.00008157516,0.00008673459,0.0002073682,0.0004140619,0.9896896,0.00001617652],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0004280552,0.0000885694,0.0001846267,0.00005005693,0.00002308777,0.00003691907,0.9949346,0.0002286598,0.004025346],"genre_scores_gemma":[0.00165813,0.000111533,0.0009968459,0.00005117842,0.000007740407,0.0001602546,0.9936859,0.0001666057,0.003161865],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.0899215,"threshold_uncertainty_score":0.3008174,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0180956158118342,"score_gpt":0.2459091209371694,"score_spread":0.2278135051253352,"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."}}