{"id":"W1998828876","doi":"10.3758/s13428-013-0441-z","title":"Error bars in within-subject designs: a comment on Baguley (2012)","year":2014,"lang":"en","type":"letter","venue":"Behavior Research Methods","topic":"Behavioral and Psychological Studies","field":"Psychology","cited_by":129,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Ottawa","funders":"","keywords":"Plot (graphics); Computer science; Standard error; Set (abstract data type); Subject (documents); Confidence interval; Factor (programming language); Statistics; Data set; Error bar; Algorithm; Artificial intelligence; Mathematics","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":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.1016267,0.002436826,0.004661108,0.00322842,0.007608947,0.005458322,0.01096733,0.05862172,0.006370651],"category_scores_gemma":[0.2873105,0.002842764,0.004116606,0.003584614,0.01526933,0.004877574,0.00388015,0.07060553,0.0150621],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01043427,"about_ca_system_score_gemma":0.00684524,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01694713,"about_ca_topic_score_gemma":0.03773937,"domain_scores_codex":[0.8886511,0.04369676,0.01165319,0.0141089,0.03851938,0.003370559],"domain_scores_gemma":[0.5845315,0.2880816,0.02250347,0.02711482,0.07295546,0.004813161],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0001997174,0.00008516724,0.0004327175,0.0002873038,0.00006331687,0.0001851484,0.000527587,0.0001179287,0.0005339853,0.009363082,0.9707335,0.01747068],"study_design_scores_gemma":[0.0004561505,0.0002920658,0.01021977,0.002112999,0.0002812474,0.0005292317,0.0006448379,0.001555665,0.002405374,0.04797072,0.9332227,0.0003092889],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.0008047476,0.003426957,0.009615141,0.848518,0.1301,0.0001739306,0.0005191845,0.001368875,0.005473203],"genre_scores_gemma":[0.005010795,0.0005475337,0.01016199,0.9267308,0.04654733,0.0006536711,0.00007321101,0.0003257895,0.009948827],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.8983733,"threshold_uncertainty_score":0.5374597,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.8313740192000905,"score_gpt":0.6323470359685018,"score_spread":0.1990269832315886,"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."}}