{"id":"W6901758668","doi":"10.60692/2ta0h-gk845","title":"Tallo database","year":2022,"lang":"en","type":"article","venue":"Greater South Information System","topic":"Tree Root and Stability Studies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia; Queen's University; University of Toronto","funders":"","keywords":"Georeference; Tree (set theory); Crown (dentistry); Data manipulation language; Architecture; Visualization","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001442968,0.00008615951,0.0001042528,0.00009787229,0.00017995,0.00003744712,0.0001000902,0.00001405406,0.00006772901],"category_scores_gemma":[0.000003451322,0.00008112455,0.00003495397,0.0001351673,0.000007513254,0.0003152562,0.00009059998,0.00007899812,0.0002855569],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001198087,"about_ca_system_score_gemma":0.000005194182,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002309271,"about_ca_topic_score_gemma":0.000001205511,"domain_scores_codex":[0.9993615,0.00001703929,0.0002459099,0.00005157584,0.0001873193,0.0001366431],"domain_scores_gemma":[0.9997004,0.00000281792,0.00003001449,0.0002130792,0.00002155869,0.00003216704],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00005214539,0.000003523642,0.6364711,0.001818246,0.0002059931,0.00001252,0.296535,0.05417871,0.000009020344,0.0009487793,0.008067391,0.001697553],"study_design_scores_gemma":[0.003397346,0.0001371644,0.4944728,0.00009915007,0.00009030326,0.0001733803,0.228802,0.1342098,0.0006455317,0.000003706899,0.1365174,0.001451396],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9741681,0.00001509857,0.01018437,0.00002344325,0.0009514985,0.0002343131,0.0005649229,0.0009898953,0.01286838],"genre_scores_gemma":[0.9996892,2.603147e-8,0.00005248585,0.00001626553,0.00002801062,0.0001116198,0.00003473044,0.000006407199,0.00006128143],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1419983,"threshold_uncertainty_score":0.3670352,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02660470232456362,"score_gpt":0.181486019837314,"score_spread":0.1548813175127504,"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."}}