{"id":"W4402053657","doi":"10.1079/9781800623279.0004","title":"Biological Control in Novel Urban Forest Ecosystems","year":2024,"lang":"en","type":"book-chapter","venue":"CABI eBooks","topic":"Forest Insect Ecology and Management","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Forest ecology; Control (management); Ecosystem; Environmental science; Forestry; Geography; Agroforestry; Environmental resource management; Ecology; Computer science; Biology; Artificial intelligence","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":[0.0001123007,0.0002669957,0.0001145338,0.0003691613,0.0004656829,0.001348776,0.0004166325,0.0004004723,0.007367527],"category_scores_gemma":[0.00009168073,0.00009782346,0.000140384,0.00041728,0.0009171322,0.0007506136,0.00052261,0.0005941004,0.001111135],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001013197,"about_ca_system_score_gemma":0.0003809931,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003461567,"about_ca_topic_score_gemma":0.02294213,"domain_scores_codex":[0.9999402,0.0000102538,0.00000157385,0.00001127365,0.00002793136,0.000008833713],"domain_scores_gemma":[0.9999706,0.00001123878,0.000003592696,0.000003222792,0.000006202384,0.000005181792],"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":[0.00003447333,0.0001150283,0.001102531,0.0008585152,0.00001749081,0.0007348755,0.003078688,0.004801558,0.02038388,0.4526534,0.06072161,0.455498],"study_design_scores_gemma":[0.000003112445,0.00002265206,0.001163957,0.0001604951,0.000003606542,0.0003051104,0.0003841315,0.0005632266,0.001526214,0.01268307,0.9831786,0.000005994293],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.02193169,0.06165766,0.01104727,0.002071354,0.0005180446,0.00005122934,0.00007338573,0.0001398324,0.9025095],"genre_scores_gemma":[0.1590616,0.09366701,0.01948083,0.001752934,0.0004885867,0.00008593674,0.000213825,0.0001065573,0.7251426],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.007367527,"threshold_uncertainty_score":0.02464682,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01510323254986795,"score_gpt":0.1974267129457072,"score_spread":0.1823234803958392,"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."}}