{"id":"W2117590223","doi":"10.1002/sim.4392","title":"Relative survival multistate Markov model","year":2011,"lang":"en","type":"article","venue":"Statistics in Medicine","topic":"Statistical Methods and Inference","field":"Mathematics","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"Canadian Institutes of Health Research","keywords":"Relative survival; Markov model; Proportional hazards model; Survival analysis; Markov chain; Statistics; Hazard ratio; Hazard; Relative risk; Medicine; Econometrics; Computer science; Mathematics; Cancer; Cancer registry; Internal medicine; Biology; Confidence interval","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":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001247113,0.000210317,0.0004930957,0.0001189004,0.00005122788,0.000004728897,0.00019916,0.00008269599,0.00124142],"category_scores_gemma":[0.01028635,0.0001654356,0.00001935095,0.0001984909,0.0004007105,0.0000501654,0.00006089239,0.0003785629,0.00002589974],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005839839,"about_ca_system_score_gemma":0.00005027061,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002592537,"about_ca_topic_score_gemma":0.0001422846,"domain_scores_codex":[0.9981107,0.00022681,0.0006265939,0.0003030923,0.0003775553,0.0003552995],"domain_scores_gemma":[0.9960116,0.003198295,0.0001570682,0.0003195254,0.000164171,0.0001494011],"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":[0.00006105758,0.00007992516,0.0005443532,0.00007094248,0.00001907854,0.00009150498,0.003664658,0.000001913748,0.00003590704,0.9752302,0.003313392,0.01688712],"study_design_scores_gemma":[0.0008468248,0.0001724961,0.003807362,0.0001258436,0.00004452696,0.000003078614,0.0003420842,0.0692398,0.00002528676,0.9251574,0.00005238557,0.0001829402],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0009480313,0.00003021322,0.9325023,0.000076649,0.0003186606,0.0002029484,0.0002630953,0.00004146316,0.06561668],"genre_scores_gemma":[0.06230611,0.0000609455,0.9361013,0.0001067495,0.00005999944,0.00002154946,0.00001438916,0.00003186781,0.001297142],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.06923789,"threshold_uncertainty_score":0.9996716,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1961461722704344,"score_gpt":0.4247385603319856,"score_spread":0.2285923880615512,"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."}}