{"id":"W4399600420","doi":"10.1093/jrsssc/qlae028","title":"Two-phase biomarker studies for disease progression with multiple registries","year":2024,"lang":"en","type":"article","venue":"Journal of the Royal Statistical Society Series C (Applied Statistics)","topic":"Statistical Methods in Clinical Trials","field":"Mathematics","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Sampling design; Sampling (signal processing); Inverse probability; Inverse probability weighting; Covariate; Pooling; Missing data; Stratified sampling; Statistics; Weighting; Simple random sample; Computer science; Mathematics; Bayesian probability; Artificial intelligence; Medicine; Posterior probability; Population","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":[0.1626937,0.001423961,0.003255602,0.001296709,0.0007051232,0.002243705,0.003173728,0.003060652,0.004109619],"category_scores_gemma":[0.1629693,0.001217879,0.003678406,0.00178392,0.00229151,0.002612819,0.003110577,0.003083025,0.0004547165],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001399412,"about_ca_system_score_gemma":0.003386462,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004650426,"about_ca_topic_score_gemma":0.0003736065,"domain_scores_codex":[0.8344771,0.153924,0.002103268,0.004815291,0.003640613,0.001039731],"domain_scores_gemma":[0.8511505,0.1126367,0.01341957,0.01625186,0.004667343,0.001874044],"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":[0.02755002,0.003929267,0.03672688,0.002679274,0.004891409,0.001215323,0.001033092,0.3219179,0.005818877,0.3927319,0.002968049,0.1985379],"study_design_scores_gemma":[0.01412372,0.021333,0.006802601,0.0005182018,0.002300089,0.0005700567,0.0002888323,0.6277989,0.00433823,0.3127003,0.008963788,0.0002623275],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.08502465,0.001187842,0.9060078,0.001253144,0.0004084668,0.004365651,0.0002760729,0.000122953,0.00135355],"genre_scores_gemma":[0.596511,0.0005006843,0.3923074,0.0006348974,0.0001929618,0.008523772,0.0002133559,0.00003179508,0.001084085],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.1626937,"threshold_uncertainty_score":0.8604167,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2747011443187014,"score_gpt":0.5343761593589086,"score_spread":0.2596750150402072,"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."}}