{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002481194,0.0003395202,0.0004202744,0.00004039988,0.000169603,0.00002880357,0.0002796948,0.00007324857,0.000253096],"category_scores_gemma":[0.000008958286,0.0002968044,0.00004676151,0.0002083266,0.00008546312,0.0002477243,0.0003154618,0.000168007,0.0003706997],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003330149,"about_ca_system_score_gemma":0.000009273396,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000009322545,"about_ca_topic_score_gemma":0.0002700926,"domain_scores_codex":[0.997857,0.00003853715,0.0006232559,0.0006743636,0.0003564886,0.0004503375],"domain_scores_gemma":[0.9992655,0.00001644914,0.0001085535,0.0001920156,4.313334e-7,0.0004170833],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003598111,0.0007652467,0.5067206,0.0002564455,0.00009666122,0.00005746548,0.03587153,0.03155162,0.002622241,0.00005741674,0.004583374,0.4170576],"study_design_scores_gemma":[0.001175316,0.0003069238,0.01833483,0.0002781103,0.00003837219,0.000001831012,0.0005814774,0.00172728,0.001190011,0.0000165053,0.9758084,0.0005409204],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9892594,0.003059896,0.002239732,0.000797259,0.00003321122,0.002532288,0.00002546617,0.00003344685,0.002019284],"genre_scores_gemma":[0.9843537,0.00432568,0.007614583,0.002675754,0.00001455556,0.000663389,0.0001061286,0.000021453,0.0002247084],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.971225,"threshold_uncertainty_score":0.9999484,"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."}}