{"id":"W59007360","doi":"10.1503/cjs.010211","title":"understanding confidence intervals","year":2012,"lang":"en","type":"letter","venue":"Canadian Journal of Surgery","topic":"Surgical Sutures and Adhesives","field":"Medicine","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University; McMaster University Medical Centre","funders":"","keywords":"Medicine; Confidence interval; MEDLINE; Medical physics; Internal medicine","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":["metaresearch"],"category_scores_codex":[0.2304917,0.001793918,0.002970591,0.009061744,0.00304649,0.01471762,0.006560668,0.0202723,0.006278593],"category_scores_gemma":[0.6920419,0.001489017,0.002747805,0.005583136,0.01921798,0.02076593,0.007999213,0.03215158,0.002834596],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01273793,"about_ca_system_score_gemma":0.01231732,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006262779,"about_ca_topic_score_gemma":0.003110497,"domain_scores_codex":[0.6937691,0.2289645,0.02722291,0.007607766,0.03995639,0.002479238],"domain_scores_gemma":[0.1537632,0.7830273,0.01667862,0.01189076,0.03310899,0.001531119],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003179131,0.00006073262,0.003130183,0.004081593,0.0004358052,0.001679262,0.007784013,0.003028252,0.0002916548,0.4989031,0.2168929,0.2633947],"study_design_scores_gemma":[0.00008763104,0.0001235602,0.001116609,0.01103488,0.000122902,0.002211859,0.002739319,0.002547974,0.0002880516,0.7126828,0.2668826,0.000161813],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.001736767,0.0832143,0.1280487,0.7443008,0.01951676,0.0003288915,0.0005741549,0.0003330503,0.02194651],"genre_scores_gemma":[0.1728882,0.1195571,0.1818611,0.4443805,0.07105332,0.003173494,0.0008202634,0.000587407,0.005678705],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.7695082,"threshold_uncertainty_score":0.9489407,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2787779619247647,"score_gpt":0.2884961808798223,"score_spread":0.009718218955057534,"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."}}