{"id":"W6939366978","doi":"10.60692/nffcc-x2467","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001873486,0.0008787874,0.001177688,0.006450076,0.0009405665,0.003208178,0.002415859,0.00106954,0.1252993],"category_scores_gemma":[0.01275958,0.0003870979,0.0008612186,0.00704837,0.0003091546,0.002547937,0.002469054,0.001048118,0.1031615],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009728076,"about_ca_system_score_gemma":0.002685019,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008403087,"about_ca_topic_score_gemma":0.01261424,"domain_scores_codex":[0.9983174,0.0002363184,0.000422369,0.0003693809,0.0004771529,0.0001774385],"domain_scores_gemma":[0.9955514,0.001138719,0.0004774309,0.0009385339,0.001509378,0.0003844999],"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":[0.0002776588,0.00003872556,0.002775996,0.001358836,0.00006310199,0.0001099449,0.0001457317,0.0003626503,0.0006309887,0.00400124,0.9658166,0.02441843],"study_design_scores_gemma":[0.0000630578,0.0000203946,0.003937481,0.000252218,0.00004834172,0.0001024077,0.0001189899,0.0005280653,0.0003618672,0.002651965,0.9918815,0.0000337075],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.001601909,0.0004856912,0.002010427,0.000348236,0.0001115181,0.0001229693,0.976102,0.004675841,0.01454134],"genre_scores_gemma":[0.002604171,0.0002783891,0.002851871,0.0001878585,0.0000415612,0.0002102638,0.9892581,0.001113476,0.003454254],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1252993,"threshold_uncertainty_score":0.4191681,"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."}}