{"id":"W4220951070","doi":"10.1101/2022.03.21.22272544","title":"Design and methodological considerations for biomarker discovery and validation in the Integrative Analysis of Lung Cancer Etiology and Risk (INTEGRAL) Program","year":2022,"lang":"en","type":"preprint","venue":"medRxiv","topic":"Lung Cancer Diagnosis and Treatment","field":"Medicine","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Brock University; Princess Margaret Cancer Centre; BC Cancer Agency; Institute of Cancer Research; Public Health Ontario; University of Toronto; Lunenfeld-Tanenbaum Research Institute","funders":"National Cancer Institute; World Health Organization; European Regional Development Fund; Instituto de Salud Carlos III; Centers for Disease Control and Prevention; National Heart, Lung, and Blood Institute; American Institute for Cancer Research; Centre International de Recherche sur le Cancer; Lung Cancer Research Foundation; U.S. Department of Health and Human Services; National Institutes of Health; Institut National Du Cancer","keywords":"Lung cancer; Medicine; Biomarker; Malignancy; Nodule (geology); Oncology; Cancer; Internal medicine; Cohort; Etiology; Cohort study; Biology","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":[0.5316877,0.002024984,0.003089409,0.002796076,0.003971725,0.006420164,0.006804334,0.003868773,0.003315072],"category_scores_gemma":[0.5055389,0.002605552,0.00502714,0.003687448,0.005707284,0.002878764,0.008771991,0.005917668,0.001290003],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003539438,"about_ca_system_score_gemma":0.0172904,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005549162,"about_ca_topic_score_gemma":0.006275419,"domain_scores_codex":[0.3177005,0.6361973,0.01296543,0.009874085,0.02090653,0.002356068],"domain_scores_gemma":[0.4885908,0.3346995,0.02834772,0.09367708,0.04803567,0.006649226],"domain_codex":"methods","domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.05429152,0.00543321,0.1486557,0.008961658,0.01373941,0.002574042,0.009910178,0.0435099,0.01830686,0.1769003,0.02932298,0.4883943],"study_design_scores_gemma":[0.02486693,0.04146857,0.1865546,0.005347565,0.01118788,0.002644359,0.003515975,0.1992078,0.02926632,0.289418,0.2051477,0.001374478],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.04167762,0.001535776,0.8557007,0.01037948,0.0018851,0.07818092,0.001431082,0.0007782631,0.008431001],"genre_scores_gemma":[0.0842208,0.0003182011,0.7680479,0.004105868,0.0005612257,0.1409515,0.0004549498,0.0001939046,0.001145563],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.5316877,"threshold_uncertainty_score":0.5775124,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.135649268270905,"score_gpt":0.437295109760089,"score_spread":0.3016458414891839,"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."}}