{"id":"W3080418507","doi":"10.1139/er-2020-0035","title":"Linking instream wood recruitment to adjacent forest development in landscapes driven by stand-replacing disturbances: a conceptual model to inform riparian and stream management","year":2020,"lang":"en","type":"article","venue":"Environmental Reviews","topic":"Hydrology and Sediment Transport Processes","field":"Environmental Science","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Disturbance (geology); Riparian zone; Ecological succession; Environmental science; STREAMS; Forest management; Riparian forest; Habitat; Ecology; Temperate rainforest; Hydrology (agriculture); Environmental resource management; Geography; Agroforestry; Ecosystem; Geology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.001037896,0.0004654801,0.0003181958,0.001464604,0.0007154114,0.003059899,0.002023899,0.001219393,0.004430845],"category_scores_gemma":[0.001787404,0.000415087,0.0007703801,0.001713984,0.001456424,0.002888716,0.001198402,0.0009603918,0.0004698063],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002744555,"about_ca_system_score_gemma":0.002334968,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03441974,"about_ca_topic_score_gemma":0.0497408,"domain_scores_codex":[0.9997606,0.00007818577,0.00001229393,0.00008738863,0.00001908902,0.0000425113],"domain_scores_gemma":[0.9992329,0.0003068258,0.0001728298,0.00003065084,0.00008820932,0.000168563],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0001071956,0.0004457124,0.2020774,0.0002391497,0.0002570173,0.0008069951,0.005301312,0.3904459,0.001646225,0.3679554,0.004348981,0.02636872],"study_design_scores_gemma":[0.00003661704,0.0001314893,0.04341542,0.0001676822,0.0001448122,0.0002477365,0.004301184,0.7700826,0.0001627065,0.1715744,0.0096626,0.0000727513],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"review","genre_scores_codex":[0.7582279,0.001734266,0.1768708,0.009804887,0.0001570642,0.0002644561,0.003142275,0.0003589505,0.0494392],"genre_scores_gemma":[0.9792694,0.0007800022,0.01566542,0.0002279842,0.0000442188,0.0002400138,0.0004544207,0.00003399726,0.003284401],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.03441974,"threshold_uncertainty_score":0.06843883,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.038654014128714,"score_gpt":0.2484417793045363,"score_spread":0.2097877651758223,"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."}}