{"id":"W4292772792","doi":"10.2139/ssrn.4196468","title":"Underexplored and Growing Economic Costs of Invasive Alien Trees","year":2022,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Forest Management and Policy","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"Carleton University","funders":"","keywords":"Alien; Invasive species; Geography; Political science; Biology; Ecology; Law; Politics","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":[0.0009420064,0.0001800153,0.0002009808,0.0006666216,0.0006898295,0.003304674,0.0006229943,0.00103565,0.01239169],"category_scores_gemma":[0.005017021,0.000125867,0.0002221311,0.0008159715,0.001701325,0.002719965,0.001079305,0.001437874,0.0004759922],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001568275,"about_ca_system_score_gemma":0.001430728,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006627745,"about_ca_topic_score_gemma":0.02445835,"domain_scores_codex":[0.9994167,0.0001524605,0.00002179422,0.00006877109,0.0001912061,0.0001490725],"domain_scores_gemma":[0.9947412,0.002936209,0.001099256,0.0001657504,0.0005567083,0.000500838],"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":[0.001087598,0.0004398233,0.1746475,0.001212122,0.0001945637,0.002153891,0.003651224,0.01524837,0.01750669,0.3520819,0.02200037,0.4097758],"study_design_scores_gemma":[0.00006503783,0.0002979861,0.6075945,0.0009807209,0.0002480423,0.00254467,0.0182543,0.01172327,0.003613378,0.207759,0.1468177,0.0001013386],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.868165,0.00657137,0.00191333,0.02876569,0.0001806366,0.00001653917,0.000585141,0.00002311844,0.09377925],"genre_scores_gemma":[0.9906446,0.003240214,0.0004659254,0.001119273,0.0002334585,0.000006714561,0.00009838579,0.00001327804,0.004178144],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01239169,"threshold_uncertainty_score":0.04145432,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007784042629022882,"score_gpt":0.2111719726119628,"score_spread":0.2033879299829399,"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."}}