{"id":"W2043640852","doi":"10.1177/0962280213476771","title":"Adjusted inference procedures for the interobserver agreement in twin studies","year":2013,"lang":"en","type":"article","venue":"Statistical Methods in Medical Research","topic":"Reliability and Agreement in Measurement","field":"Decision Sciences","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"London Health Sciences Centre; Western University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Inference; Statistics; Confidence interval; Statistic; Statistical inference; Computer science; Interval estimation; Statistical hypothesis testing; Multiple comparisons problem; Sample size determination; Cohen's kappa; Kappa; Test statistic; Mathematics; Econometrics; Artificial intelligence","routes":{"ca_aff":true,"ca_fund":true,"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":["metaresearch"],"category_scores_codex":[0.2201819,0.00211128,0.002635941,0.007130882,0.00178064,0.00352046,0.00815326,0.003501644,0.003808378],"category_scores_gemma":[0.5924153,0.001772894,0.00402411,0.005332494,0.004030026,0.004574472,0.004868161,0.005599985,0.0008268853],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002446548,"about_ca_system_score_gemma":0.003491544,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003511355,"about_ca_topic_score_gemma":0.002555687,"domain_scores_codex":[0.6816028,0.2702508,0.0129213,0.01452521,0.01910029,0.001599536],"domain_scores_gemma":[0.4431464,0.4775779,0.02556216,0.03273526,0.0199279,0.001050386],"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":[0.001237599,0.000278503,0.02576566,0.001507494,0.0039416,0.0007785505,0.00521817,0.07991679,0.003158682,0.4460857,0.005615309,0.4264959],"study_design_scores_gemma":[0.0003798004,0.0006783034,0.01538749,0.0006237803,0.001149501,0.0008342451,0.0003608482,0.2733393,0.004749136,0.6937298,0.008364179,0.0004035781],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.002697601,0.000200907,0.9961931,0.0001364156,0.00005723835,0.0002302365,0.0000721874,0.0001192197,0.0002931304],"genre_scores_gemma":[0.07640016,0.0002363889,0.9200612,0.0002410655,0.000111969,0.002237816,0.0002022215,0.0001203333,0.0003888951],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.7798182,"threshold_uncertainty_score":0.9616546,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.7237431735697322,"score_gpt":0.680536609079811,"score_spread":0.04320656448992122,"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."}}