{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.007385848,0.001462764,0.00176916,0.002896807,0.001262154,0.005102819,0.002709562,0.003217029,0.0343852],"category_scores_gemma":[0.03980561,0.0006706013,0.002017219,0.00381668,0.003664431,0.00724344,0.004297763,0.004648423,0.009817123],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001630322,"about_ca_system_score_gemma":0.001453868,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002158324,"about_ca_topic_score_gemma":0.00101747,"domain_scores_codex":[0.9944077,0.002091843,0.0003044957,0.002063328,0.000785732,0.0003469863],"domain_scores_gemma":[0.9830276,0.009876747,0.002466321,0.002749075,0.001421764,0.0004584327],"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":[0.00003092268,0.00002334099,0.001265761,0.00008716426,0.00004148133,0.0001184552,0.000169403,0.005292598,0.0002281225,0.977371,0.003252605,0.0121191],"study_design_scores_gemma":[0.00002875258,0.00003169983,0.0005176049,0.00008349054,0.00004452437,0.0001483693,0.00005194344,0.02534513,0.0002761531,0.9572458,0.01620276,0.0000237568],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01322154,0.002369993,0.9493611,0.003655689,0.000696557,0.0001931521,0.002851646,0.0007949501,0.02685547],"genre_scores_gemma":[0.6522373,0.006847928,0.2311448,0.002400678,0.002311314,0.001624569,0.005584901,0.0006978401,0.09715069],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.0343852,"threshold_uncertainty_score":0.11503,"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."}}