{"id":"W2029601543","doi":"10.1111/j.1469-1809.2008.00442.x","title":"The Power and Robustness of Maximum LOD Score Statistics","year":2008,"lang":"en","type":"article","venue":"Annals of Human Genetics","topic":"Genetic Associations and Epidemiology","field":"Biochemistry, Genetics and Molecular Biology","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"Mount Sinai Hospital","funders":"National Institute of Mental Health","keywords":"Phenocopy; Statistics; Mathematics; Statistic; Genetic model; Range (aeronautics); Biology; Genetics; Gene","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":[0.1424433,0.001282529,0.002344955,0.005044043,0.001022908,0.003648127,0.002848459,0.002325678,0.00310027],"category_scores_gemma":[0.5229817,0.0008663099,0.002919191,0.002605829,0.007264658,0.006733534,0.004148014,0.002508033,0.0005800417],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001089905,"about_ca_system_score_gemma":0.0009534041,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009834657,"about_ca_topic_score_gemma":0.0003497169,"domain_scores_codex":[0.8851069,0.08654635,0.004789414,0.01035072,0.01172039,0.001486264],"domain_scores_gemma":[0.2818135,0.6692207,0.009997509,0.03274027,0.005432924,0.0007951736],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.004764981,0.0003210712,0.169146,0.0009885636,0.004513429,0.001469329,0.002543144,0.39587,0.007325581,0.1609108,0.004253012,0.2478942],"study_design_scores_gemma":[0.0007795501,0.00160205,0.06140288,0.0003758329,0.000822654,0.002615047,0.0006600617,0.5796837,0.01298704,0.3332709,0.005417228,0.0003831162],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3367133,0.001033795,0.6511411,0.001065262,0.0001407511,0.0003342915,0.000902332,0.001075328,0.007593721],"genre_scores_gemma":[0.9420506,0.0002439055,0.0556374,0.0001901162,0.0001273255,0.0002809149,0.0007209531,0.0003470156,0.0004018527],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8575567,"threshold_uncertainty_score":0.7533212,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05229972903484332,"score_gpt":0.3151556758414381,"score_spread":0.2628559468065947,"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."}}