{"id":"W2761397100","doi":"10.18632/oncotarget.21810","title":"Pooling-analysis on hMLH1 polymorphisms and cancer risk: evidence based on 31,484 cancer cases and 45,494 cancer-free controls","year":2017,"lang":"en","type":"article","venue":"Oncotarget","topic":"Genetic factors in colorectal cancer","field":"Medicine","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Fundamental Research Funds for the Central Universities; National Social Science Fund of China; Natural Science Foundation of Shaanxi Province","keywords":"Medicine; Cancer; Oncology; Pooling; Internal medicine; Bioinformatics; Cancer research; Biology; Artificial intelligence; Computer science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01747353,0.0032305,0.01317946,0.006418401,0.0007955756,0.002448241,0.001848383,0.001863386,0.003982714],"category_scores_gemma":[0.02822287,0.001334285,0.03458725,0.007894796,0.0008128057,0.001590952,0.001565455,0.001199179,0.000549513],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001179141,"about_ca_system_score_gemma":0.001656822,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003997771,"about_ca_topic_score_gemma":0.007339907,"domain_scores_codex":[0.9874139,0.004286617,0.00453434,0.001987997,0.001327004,0.000450117],"domain_scores_gemma":[0.9847786,0.01012331,0.002510828,0.001119823,0.001265523,0.0002019347],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"meta_analysis","study_design_gemma":"meta_analysis","study_design_scores_codex":[0.004194443,0.00004267982,0.02547283,0.09996318,0.8572419,0.000315725,0.000102229,0.0003723021,0.0006681154,0.0001271106,0.0005214776,0.01097791],"study_design_scores_gemma":[0.0004935895,0.0001960246,0.01009928,0.003566029,0.9838075,0.0001112009,0.00003673454,0.0001052267,0.0001675579,0.0001911335,0.001210612,0.00001510416],"study_design_candidate":"meta_analysis","study_design_consensus":"meta_analysis","genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.03237167,0.9611128,0.002658894,0.0003388917,0.0003544259,0.0004387691,0.001955926,0.00005520511,0.0007133489],"genre_scores_gemma":[0.6744654,0.3124239,0.004540903,0.001435548,0.0007233314,0.001411436,0.003936746,0.00009823823,0.0009647086],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01747353,"threshold_uncertainty_score":0.09240997,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04404488946774928,"score_gpt":0.3457701736697354,"score_spread":0.3017252842019861,"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."}}