{"id":"W2810350685","doi":"10.1101/359406","title":"A comparison of asymmetric before-after control impact (aBACI) and staircase experimental designs for testing the effectiveness of stream restoration","year":2018,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Fish Ecology and Management Studies","field":"Environmental Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Variance (accounting); Environmental science; STREAMS; Abundance (ecology); Confidence interval; Statistics; Watershed; Interval (graph theory); Design of experiments; Computer science; Mathematics; Ecology; 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":[0.04170909,0.001784905,0.002129327,0.001408642,0.0007842365,0.001201696,0.00353401,0.002353736,0.004640886],"category_scores_gemma":[0.06172241,0.00100883,0.002027561,0.0009667653,0.002211868,0.00165269,0.001240535,0.002639036,0.0005712016],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001813824,"about_ca_system_score_gemma":0.001825016,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001031215,"about_ca_topic_score_gemma":0.0009017908,"domain_scores_codex":[0.9470404,0.03652969,0.003134868,0.006672519,0.005600346,0.001022236],"domain_scores_gemma":[0.8783543,0.07780094,0.01696453,0.01334438,0.01082195,0.002713887],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"randomized_trial","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.3195981,0.03569161,0.02533071,0.003553793,0.00392241,0.0002700792,0.001496049,0.06078631,0.3114464,0.02247938,0.002550317,0.2128748],"study_design_scores_gemma":[0.02912973,0.4137102,0.06847056,0.0003605309,0.00304363,0.0002189646,0.0004226678,0.2842468,0.1727003,0.01683423,0.0102812,0.0005811638],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.8092492,0.0005753644,0.1761009,0.0002862955,0.0005691344,0.007842842,0.0006191059,0.0006644654,0.004092677],"genre_scores_gemma":[0.7698334,0.0001875841,0.2083855,0.0004239085,0.0001040476,0.01830083,0.0005174263,0.000117693,0.002129541],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.04170909,"threshold_uncertainty_score":0.2205814,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02541163945377119,"score_gpt":0.2767861279584831,"score_spread":0.2513744885047119,"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."}}