{"id":"W4246504292","doi":"10.1007/978-94-007-0753-5_104098","title":"Surrogate Endpoint","year":2014,"lang":"en","type":"book-chapter","venue":"","topic":"Advanced Causal Inference Techniques","field":"Mathematics","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Brandon University; University of Northern British Columbia","funders":"","keywords":"Surrogate endpoint; Medicine; Internal medicine","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":[0.00597286,0.001383876,0.001638696,0.001379748,0.0008079454,0.003875194,0.002060756,0.002493361,0.05877513],"category_scores_gemma":[0.02476689,0.000581324,0.001393532,0.001530337,0.001789887,0.004169403,0.00270096,0.006355794,0.02002887],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001080966,"about_ca_system_score_gemma":0.001593713,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003526613,"about_ca_topic_score_gemma":0.0004352412,"domain_scores_codex":[0.9958879,0.001873854,0.0001604267,0.0007863074,0.001189888,0.0001016328],"domain_scores_gemma":[0.9941218,0.003421233,0.0002880493,0.001330808,0.0007001223,0.0001378294],"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":[0.00006749653,0.00004158198,0.0001609176,0.000165261,0.00002635138,0.00007002022,0.00004871725,0.004681481,0.0002890768,0.8617081,0.03666134,0.09607963],"study_design_scores_gemma":[0.000015189,0.00002685897,0.00008489691,0.0001395551,0.00002149603,0.0001521979,0.00001752453,0.01157198,0.0005575901,0.9066936,0.08070398,0.00001517403],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0006908853,0.001599788,0.8553198,0.002982762,0.001484851,0.00008298395,0.0007023235,0.0004703298,0.1366663],"genre_scores_gemma":[0.1119044,0.00702078,0.4620898,0.004287806,0.003812421,0.0007871139,0.004170823,0.001685727,0.4042412],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.05877513,"threshold_uncertainty_score":0.1966224,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.195517714390595,"score_gpt":0.3893177119045761,"score_spread":0.1937999975139811,"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."}}