{"id":"W1997924917","doi":"10.1111/j.0006-341x.2001.00671.x","title":"Synthesis of Evidence from Epidemiological Studies with Interval-Censored Exposure Due to Grouping","year":2001,"lang":"en","type":"article","venue":"Biometrics","topic":"Statistical Methods and Bayesian Inference","field":"Mathematics","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"Actua; University of Waterloo","funders":"Eunice Kennedy Shriver National Institute of Child Health and Human Development; National Cancer Institute; National Institutes of Health; Natural Sciences and Engineering Research Council of Canada; Medical Research Council Canada","keywords":"Covariate; Statistics; Censoring (clinical trials); Logistic regression; Multinomial logistic regression; Econometrics; Multinomial distribution; Confidence interval; Mathematics; Medicine","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":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.1255281,0.00353442,0.01234143,0.03771752,0.0009689032,0.008584937,0.004099878,0.006192365,0.008381809],"category_scores_gemma":[0.5215324,0.002276349,0.009695644,0.01899439,0.003554361,0.004370104,0.004906162,0.004567152,0.001096123],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004536581,"about_ca_system_score_gemma":0.005823589,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003129503,"about_ca_topic_score_gemma":0.002729272,"domain_scores_codex":[0.856022,0.08408557,0.03550667,0.008601138,0.01493871,0.0008459702],"domain_scores_gemma":[0.3425607,0.5955221,0.03584792,0.01256883,0.0122414,0.001259069],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"systematic_review","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.003057954,0.0001285637,0.005678206,0.6180166,0.07870056,0.0007551389,0.0006801129,0.006199054,0.0007290116,0.01628493,0.006530613,0.2632393],"study_design_scores_gemma":[0.003132884,0.002037726,0.02192666,0.480068,0.1882983,0.001329159,0.001202894,0.004180544,0.001755531,0.1511444,0.144552,0.0003718807],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"review","genre_gemma":"methods","genre_scores_codex":[0.002772787,0.957415,0.02808938,0.003973786,0.00314846,0.0008848878,0.002094231,0.0001030604,0.001518427],"genre_scores_gemma":[0.1163419,0.78142,0.08530813,0.006221536,0.003473331,0.003760064,0.002716916,0.00009475943,0.000663351],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8744719,"threshold_uncertainty_score":0.6638639,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4254611341142698,"score_gpt":0.4579270276921076,"score_spread":0.0324658935778378,"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."}}