{"id":"W4388767101","doi":"10.1111/rec.13996","title":"We asked and #<scp>GenerationRestoration</scp> delivered: the Joint Special Feature between the British Ecological Society and the Society for Ecological Restoration","year":2023,"lang":"en","type":"article","venue":"Restoration Ecology","topic":"Forest Management and Policy","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Restoration ecology; Reforestation; Environmental restoration; Set (abstract data type); Environmental resource management; Political science; Ecology; Computer science; Environmental science; Biology","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":[0.003766926,0.0008131349,0.0005293753,0.00110072,0.004611673,0.007002708,0.001039524,0.007561341,0.2197846],"category_scores_gemma":[0.01865849,0.0006279144,0.0008161188,0.001078692,0.001872084,0.004478692,0.005437091,0.009037161,0.1006647],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003820946,"about_ca_system_score_gemma":0.005535348,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01644686,"about_ca_topic_score_gemma":0.03827211,"domain_scores_codex":[0.9974179,0.0006642286,0.0001239304,0.0003039367,0.0008901021,0.0005998689],"domain_scores_gemma":[0.9865358,0.002508052,0.0005507762,0.0007022225,0.005284404,0.00441871],"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":[0.000007710983,0.000002888898,0.000153924,0.00002707451,0.000001280388,0.0000467402,0.0001196791,0.00001095737,0.0001183162,0.0008310229,0.9937449,0.004935568],"study_design_scores_gemma":[0.000002605054,0.000003776483,0.0002672695,0.00002812876,0.000001043745,0.00003075826,0.0003131693,0.00001967633,0.00005414035,0.0003489079,0.9989229,0.000007627404],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"editorial","genre_scores_codex":[0.002778311,0.003871203,0.003568486,0.7302625,0.1405417,0.0003251422,0.005983635,0.001440015,0.111229],"genre_scores_gemma":[0.0155932,0.002370527,0.002850881,0.3209682,0.015551,0.0003716673,0.002683905,0.002151342,0.6374593],"genre_candidate":"editorial","genre_consensus":null,"teacher_disagreement_score":0.2197846,"threshold_uncertainty_score":0.7352527,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02436880245028854,"score_gpt":0.247113934161287,"score_spread":0.2227451317109984,"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."}}