{"id":"W3019617362","doi":"10.1002/sim.8508","title":"A multiparameter regression model for interval‐censored survival data","year":2020,"lang":"en","type":"article","venue":"Statistics in Medicine","topic":"Statistical Methods and Inference","field":"Mathematics","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Irish Research Council","keywords":"Proportional hazards model; Statistics; Interval (graph theory); Weibull distribution; Survival analysis; Computer science; Regression; Parametric statistics; Accelerated failure time model; Confidence interval; Regression analysis; Parametric model; Longitudinal data; Econometrics; Mathematics; Data mining","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":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.0009513203,0.000192674,0.0005794834,0.00004940857,0.00003946203,0.0000119123,0.0004944638,0.00007597803,0.0001782175],"category_scores_gemma":[0.04698842,0.0001368849,0.00001855638,0.0001361142,0.0001846316,0.00004524769,0.0002114525,0.000259312,0.000006095423],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002438029,"about_ca_system_score_gemma":0.00004394563,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002695631,"about_ca_topic_score_gemma":0.0000358152,"domain_scores_codex":[0.99817,0.0001436311,0.00061738,0.0004513865,0.0003327013,0.0002849699],"domain_scores_gemma":[0.9932325,0.005749667,0.0001496262,0.0005486002,0.000138862,0.000180719],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0004500677,0.0001220331,0.0001973679,0.0008132182,0.000043772,0.00004073745,0.004059084,0.00005156135,0.000727751,0.8170334,0.1216013,0.05485977],"study_design_scores_gemma":[0.001022847,0.0001637771,0.00006350832,0.0001669408,0.000041074,6.478307e-7,0.0001812466,0.6395018,0.00002049767,0.3584031,0.0003278586,0.0001067904],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0004809941,0.00003975714,0.9943336,0.001853851,0.0002555635,0.0004135829,0.002193547,0.00003918092,0.0003899037],"genre_scores_gemma":[0.04251168,0.00002855167,0.9561324,0.0007397436,0.000192214,0.00002688774,0.0002141553,0.00003407112,0.0001202639],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.6394502,"threshold_uncertainty_score":0.9610392,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4007317872209125,"score_gpt":0.4997713322034426,"score_spread":0.09903954498253009,"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."}}