{"id":"W2955780193","doi":"","title":"Method Choice in Gene Set Analysis Has Important Consequences for Analysis Outcome.","year":2019,"lang":"en","type":"article","venue":"Bioinformatics","topic":"Genetics, Bioinformatics, and Biomedical Research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"Royal University Hospital; University of Saskatchewan","funders":"","keywords":"Outcome (game theory); Set (abstract data type); Computer science; Genetic analysis; Computational biology; Gene; Genetics; Biology; Mathematical economics; Mathematics; Programming language","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":[0.149378,0.001219756,0.002128206,0.002731808,0.002205167,0.005742199,0.002841554,0.002710014,0.002359553],"category_scores_gemma":[0.3072792,0.0006861694,0.00199762,0.003535362,0.003120669,0.003392133,0.002875019,0.004571191,0.001622348],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001107476,"about_ca_system_score_gemma":0.003104857,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001410169,"about_ca_topic_score_gemma":0.002963724,"domain_scores_codex":[0.8595266,0.1139694,0.007266974,0.007638869,0.01008056,0.001517542],"domain_scores_gemma":[0.5522031,0.4232481,0.003088539,0.0135333,0.006200553,0.001726352],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00752379,0.001252304,0.2019174,0.00673633,0.009333667,0.002218453,0.003152088,0.02350686,0.07361672,0.05849664,0.02914931,0.5830965],"study_design_scores_gemma":[0.002153696,0.002083527,0.09544454,0.002527309,0.002989602,0.00490656,0.002259264,0.1651126,0.09327152,0.5827913,0.04553725,0.0009228687],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1331182,0.011084,0.8282157,0.01456743,0.001445974,0.0007143529,0.002429528,0.001790042,0.00663483],"genre_scores_gemma":[0.5231268,0.00361764,0.4610635,0.004530213,0.0006126979,0.001256101,0.001997281,0.002242138,0.001553543],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.850622,"threshold_uncertainty_score":0.7899959,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05818490484697021,"score_gpt":0.3684306061247732,"score_spread":0.310245701277803,"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."}}