{"id":"W7132935634","doi":"","title":"Forest Restoration in Southern Ontario&apos;s Conservation Areas Impacted by Emerald Ash Borer: A Case Study with Credit Valley Conservation","year":2022,"lang":"en","type":"other","venue":"TSpace","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"University of Toronto","keywords":"Emerald ash borer; Forest restoration; Restoration ecology; Afforestation; Disturbance (geology); Forest management; Tree planting; Introduced species","routes":{"ca_aff":false,"ca_fund":true,"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":[0.0002761218,0.0002661948,0.0001774919,0.0005410985,0.005389087,0.0008724781,0.0009083443,0.0006446271,0.002164132],"category_scores_gemma":[0.0006028805,0.000207899,0.0001940275,0.001304746,0.001306398,0.0002941506,0.0007291777,0.0004436515,0.0001395871],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01524209,"about_ca_system_score_gemma":0.01013057,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8917112,"about_ca_topic_score_gemma":0.9879904,"domain_scores_codex":[0.9996858,0.00005897076,0.0000070952,0.00002689606,0.00008346004,0.0001377991],"domain_scores_gemma":[0.9996217,0.0000548633,0.00006928377,0.00001966026,0.00007347937,0.0001608974],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004698342,0.001695309,0.701944,0.000529854,0.0001156944,0.09308448,0.09620692,0.002849144,0.006705928,0.002175014,0.01563808,0.07858574],"study_design_scores_gemma":[0.00005496568,0.0004805038,0.7971739,0.000147929,0.00004547611,0.007653879,0.1582309,0.001588644,0.0007631662,0.0002956863,0.03353088,0.00003409331],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9923947,0.0001722691,0.00009646939,0.00029683,0.000007051282,0.0001033268,0.0001495554,0.000006685927,0.006773108],"genre_scores_gemma":[0.9919619,0.0004169084,0.0005942468,0.0001571258,0.000006124411,0.00004956047,0.0001499025,0.000004959307,0.006659259],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1082888,"threshold_uncertainty_score":0.2178531,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03904499970390559,"score_gpt":0.3196708487568118,"score_spread":0.2806258490529063,"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."}}