{"id":"W2095856374","doi":"10.1007/s10661-008-0182-0","title":"Bootstrapping to investigate the effect of number of macroinvertebrate samples on confidence limits of the mean","year":2008,"lang":"en","type":"article","venue":"Environmental Monitoring and Assessment","topic":"Freshwater macroinvertebrate diversity and ecology","field":"Environmental Science","cited_by":13,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université de Moncton","funders":"","keywords":"Confidence interval; Statistics; Bootstrapping (finance); Sampling (signal processing); Resampling; Sample (material); Mathematics; Sample size determination; Environmental science; Econometrics; Chemistry; Chromatography; Engineering","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":[0.1382009,0.001835698,0.003102744,0.002619246,0.003274897,0.002471244,0.004314926,0.004607166,0.008343957],"category_scores_gemma":[0.5410634,0.001184784,0.003759964,0.004166298,0.004133377,0.003513366,0.002737849,0.007940961,0.001399857],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001095465,"about_ca_system_score_gemma":0.00187025,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003010312,"about_ca_topic_score_gemma":0.002442399,"domain_scores_codex":[0.8690338,0.09668913,0.01101921,0.01148471,0.009439921,0.002333204],"domain_scores_gemma":[0.3059291,0.6019279,0.008291304,0.06351396,0.01830784,0.002029867],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.01843418,0.005035084,0.1323874,0.003670536,0.01139259,0.004730064,0.01771308,0.2108429,0.0427765,0.07339873,0.01471786,0.4649011],"study_design_scores_gemma":[0.001172576,0.005227874,0.08392978,0.001243886,0.002345099,0.003681624,0.002227477,0.7853323,0.04879456,0.04327726,0.02224121,0.000526315],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.4178477,0.001021428,0.5685688,0.0004764212,0.0005792085,0.001582084,0.001375519,0.002569875,0.005978962],"genre_scores_gemma":[0.6852592,0.0002241839,0.3041844,0.0006381021,0.0001284976,0.002670772,0.002814109,0.002328771,0.001751955],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.1382009,"threshold_uncertainty_score":0.7308849,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02107831468525945,"score_gpt":0.2468689262775366,"score_spread":0.2257906115922772,"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."}}