{"id":"W4249015039","doi":"10.1002/9781118445112.stat06041","title":"Marker Processes","year":2014,"lang":"en","type":"other","venue":"Wiley StatsRef: Statistics Reference Online","topic":"Statistical Methods and Inference","field":"Mathematics","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Covariate; Surrogate endpoint; Survival analysis; Estimation; Statistics; Medicine; Internal medicine; Mathematics; Engineering","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","metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.000469866,0.001011097,0.001496468,0.000370329,0.0001146328,0.0001293764,0.0008268518,0.0006719441,0.01944988],"category_scores_gemma":[0.009489002,0.0008529843,0.00007481591,0.0004260407,0.0004369163,0.00004155749,0.0002377761,0.0009553388,0.0006751132],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008965705,"about_ca_system_score_gemma":0.0005718597,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001962914,"about_ca_topic_score_gemma":0.001170553,"domain_scores_codex":[0.9955187,0.000380463,0.0010876,0.001088683,0.0009901377,0.0009343812],"domain_scores_gemma":[0.9934407,0.003375766,0.0009853207,0.00119011,0.000560828,0.0004472217],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00002757063,0.0002809307,0.0000438354,0.002036553,0.0001145602,0.00003599517,0.00003003915,2.083809e-7,0.000005126336,0.2754779,0.6889741,0.03297316],"study_design_scores_gemma":[0.0004508542,0.0002294022,0.00006157187,0.00152932,0.0002171754,0.0000104408,0.00003263435,0.0003468005,0.000005987361,0.3788359,0.6173365,0.000943365],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.000005747885,0.0006097715,0.7160544,0.0000584087,0.0004870004,0.0005866427,0.04164616,0.0005511282,0.2400007],"genre_scores_gemma":[0.00003692597,0.001850569,0.7003158,0.0002079565,0.0004963203,0.00006635637,0.002074183,0.0008642044,0.2940876],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.103358,"threshold_uncertainty_score":0.9993921,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.099307208470627,"score_gpt":0.3925655797741371,"score_spread":0.2932583713035101,"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."}}