{"id":"W1857882766","doi":"10.1111/biom.12380","title":"Optimum Study Design for Detecting Imprinting and Maternal Effects Based on Partial Likelihood","year":2015,"lang":"en","type":"article","venue":"Biometrics","topic":"Genetic Syndromes and Imprinting","field":"Biochemistry, Genetics and Molecular Biology","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"Natural Sciences and Engineering Research Council of Canada; National Science Foundation","keywords":"Imprinting (psychology); Statistics; Econometrics; Computer science; Mathematics; Biology; Genetics","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":[0.1529173,0.002040509,0.005120293,0.003512595,0.001037423,0.002476372,0.003136,0.003766634,0.00479428],"category_scores_gemma":[0.2927336,0.001936174,0.003642654,0.002429594,0.004080676,0.004214837,0.003847395,0.002867589,0.0006301515],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001807909,"about_ca_system_score_gemma":0.004191538,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006460044,"about_ca_topic_score_gemma":0.0006315687,"domain_scores_codex":[0.7796742,0.2013687,0.004667472,0.00749248,0.005678658,0.001118575],"domain_scores_gemma":[0.6329204,0.3383114,0.009006985,0.01322427,0.005037738,0.001499212],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.008432649,0.0008248926,0.02951938,0.005302996,0.00519766,0.001318329,0.001697181,0.1496947,0.008900061,0.4146083,0.002768099,0.3717358],"study_design_scores_gemma":[0.00312889,0.008146403,0.01130906,0.000887603,0.003036009,0.0009465133,0.0002996324,0.5192071,0.005645385,0.4393175,0.007830261,0.0002456712],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.008411703,0.0005693318,0.9885308,0.0003162583,0.00003978317,0.001461813,0.0001127562,0.00009501023,0.0004625506],"genre_scores_gemma":[0.1299629,0.0007797366,0.8609456,0.0002748341,0.0001049741,0.007008341,0.0002307343,0.00005035959,0.0006424882],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.1529173,"threshold_uncertainty_score":0.8087139,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03328857421749216,"score_gpt":0.2804025703448232,"score_spread":0.247113996127331,"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."}}