{"id":"W3191159675","doi":"","title":"Tree stabilization systems and their effects on tree health for improved landscape architectural specifications","year":2010,"lang":"en","type":"dissertation","venue":"The Atrium (University of Guelph)","topic":"Tree Root and Stability Studies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Tree (set theory); Forestry; Computer science; Geography; Mathematics; Combinatorics","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":[0.000549924,0.0001303469,0.0001302974,0.0001546167,0.0005612695,0.0007414691,0.0002883245,0.0001983901,0.00194414],"category_scores_gemma":[0.001057099,0.00007181142,0.0001407518,0.0002143009,0.0003682549,0.0002144344,0.0002922289,0.0002447489,0.0001539656],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002712735,"about_ca_system_score_gemma":0.001421977,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.08675099,"about_ca_topic_score_gemma":0.3487239,"domain_scores_codex":[0.9996244,0.00007466326,0.00001337559,0.00004040419,0.0001859071,0.00006131121],"domain_scores_gemma":[0.9991903,0.0001918173,0.0002210583,0.00003401898,0.000244401,0.0001183708],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001983589,0.000879777,0.5401648,0.0004997012,0.00008542559,0.0007967946,0.01577797,0.005884473,0.2988648,0.00136935,0.001585894,0.1321075],"study_design_scores_gemma":[0.00002360103,0.002620064,0.9700532,0.00003817322,0.00005170015,0.00009451278,0.006370867,0.00131272,0.01412569,0.0001904305,0.00510123,0.00001774906],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9975054,0.0001079252,0.0002189347,0.00004208769,0.000001974567,0.00001577124,0.00003251314,0.000006265569,0.002069009],"genre_scores_gemma":[0.9977309,0.0001179577,0.000777288,0.00001724038,0.000001104625,0.000007185929,0.00005164433,0.000002737091,0.001294112],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.913249,"threshold_uncertainty_score":0.1724921,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01595780190860066,"score_gpt":0.2104535225555516,"score_spread":0.1944957206469509,"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."}}