{"id":"W2029302922","doi":"10.1016/j.csda.2009.03.002","title":"Group sequential testing of homogeneity in genetic linkage analysis","year":2009,"lang":"en","type":"article","venue":"Computational Statistics & Data Analysis","topic":"Statistical Methods in Clinical Trials","field":"Mathematics","cited_by":5,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Windsor; York University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Linkage (software); Homogeneity (statistics); Sample size determination; Genetic linkage; Statistics; Multiple comparisons problem; Monte Carlo method; Mathematics; Computer science; Genetics; Biology; Gene","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":[],"consensus_categories":[],"category_scores_codex":[0.1131553,0.001376504,0.004393892,0.002743627,0.002207194,0.002572476,0.003970123,0.002762276,0.007567773],"category_scores_gemma":[0.4096473,0.001115868,0.003229572,0.003780729,0.006757847,0.004282676,0.004574435,0.003623012,0.0006152968],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001046785,"about_ca_system_score_gemma":0.004877422,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001855542,"about_ca_topic_score_gemma":0.001174317,"domain_scores_codex":[0.7584152,0.2108924,0.004770294,0.01556666,0.0082597,0.002095781],"domain_scores_gemma":[0.4000754,0.5514474,0.009159062,0.03264067,0.004699599,0.001977831],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.01490092,0.001153038,0.1187136,0.001773852,0.01164977,0.005659707,0.005628982,0.0748539,0.00435531,0.3173601,0.01250707,0.4314438],"study_design_scores_gemma":[0.002600832,0.003208017,0.02213366,0.0001491501,0.001522561,0.001854724,0.000737739,0.2228941,0.002979747,0.7379358,0.00386892,0.0001147699],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.1177069,0.0005373981,0.8765083,0.001235125,0.0002651481,0.0005277452,0.0005055025,0.000541998,0.002171869],"genre_scores_gemma":[0.7533944,0.0002218593,0.241219,0.0004983735,0.0003129482,0.002066814,0.000701563,0.000261043,0.001324018],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.1131553,"threshold_uncertainty_score":0.5984297,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.5488176037055619,"score_gpt":0.549484249912318,"score_spread":0.0006666462067561607,"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."}}