{"id":"W4402320855","doi":"10.1177/00236772241247105","title":"Depicting variability and uncertainty using intervals and error bars","year":2024,"lang":"en","type":"article","venue":"Laboratory Animals","topic":"Gene Regulatory Network Analysis","field":"Biochemistry, Genetics and Molecular Biology","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canada's Michael Smith Genome Sciences Centre","funders":"","keywords":"Statistics; Notation; Range (aeronautics); Variation (astronomy); Interval (graph theory); Population; Population mean; Confidence interval; Sample (material); Mathematics; Econometrics; Demography; Arithmetic; Combinatorics","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":[0.01938325,0.001791357,0.001189095,0.007830894,0.001108288,0.007177959,0.002804155,0.002556386,0.006530424],"category_scores_gemma":[0.1180106,0.0006440909,0.001540164,0.006984051,0.002838258,0.006609849,0.003683386,0.003996818,0.001484532],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001714734,"about_ca_system_score_gemma":0.001276778,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004021997,"about_ca_topic_score_gemma":0.001622365,"domain_scores_codex":[0.9826313,0.008172338,0.001652583,0.002169739,0.004861416,0.0005126947],"domain_scores_gemma":[0.8685966,0.1036078,0.008954822,0.009769759,0.008422548,0.0006484498],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0004811708,0.00009562122,0.007103784,0.001021113,0.0005042256,0.0005766499,0.003456747,0.1513221,0.004984823,0.5087771,0.02260179,0.2990747],"study_design_scores_gemma":[0.00008030381,0.0002666753,0.007245652,0.001150555,0.0002331566,0.0005803832,0.001452871,0.2001447,0.006856602,0.6720113,0.1095243,0.0004535688],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.009165545,0.002465714,0.9724286,0.001104396,0.0008671004,0.00007376935,0.0008051592,0.002989623,0.01009999],"genre_scores_gemma":[0.3990015,0.002903804,0.5887316,0.0008714079,0.001149904,0.0006201348,0.001617404,0.00201289,0.003091239],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.9806167,"threshold_uncertainty_score":0.1025097,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0137327175505871,"score_gpt":0.275528335927043,"score_spread":0.2617956183764559,"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."}}