{"id":"W6931480867","doi":"10.5281/zenodo.7713812","title":"Astragalus ervoides var. ervoides Bot. Beechey Voy.","year":2023,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Botany, Ecology, and Taxonomy Studies","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Astragalus; Arid; Vegetation (pathology); Crown (dentistry)","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":[],"consensus_categories":[],"category_scores_codex":[0.00008357593,0.0004857469,0.0002900035,0.00118862,0.0008726557,0.0004152249,0.0003929083,0.0003169103,0.03428645],"category_scores_gemma":[0.0001802114,0.0002337684,0.0001460342,0.0009856274,0.0002645459,0.0004948506,0.000551468,0.0006136418,0.01309816],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009240787,"about_ca_system_score_gemma":0.0003408514,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0454952,"about_ca_topic_score_gemma":0.1170767,"domain_scores_codex":[0.9998971,0.000006633076,0.000008142251,0.00003201103,0.00004129089,0.00001485197],"domain_scores_gemma":[0.9999105,0.00001203129,0.00003244809,0.000007745259,0.00002651215,0.00001083856],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0002685294,0.00004264478,0.01584248,0.000719099,0.00005189451,0.0008047607,0.0008303311,0.0004275999,0.01913223,0.00290415,0.1412379,0.8177385],"study_design_scores_gemma":[0.00004676874,0.00004073178,0.2263307,0.0003918129,0.00004183688,0.001034462,0.0004893116,0.000137701,0.001905735,0.0006002371,0.7689685,0.00001217783],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.08263373,0.02251326,0.002963861,0.001475788,0.001104308,0.0005964476,0.026633,0.000949396,0.8611302],"genre_scores_gemma":[0.5217078,0.01159248,0.005373128,0.001039663,0.0003451194,0.0004155846,0.01952816,0.0004279343,0.43957],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0454952,"threshold_uncertainty_score":0.1146995,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0617134060334379,"score_gpt":0.2357440476773026,"score_spread":0.1740306416438647,"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."}}