{"id":"W3123712984","doi":"10.2139/ssrn.885926","title":"A Model Selection Method for S-Estimation","year":2005,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Advanced Statistical Methods and Models","field":"Mathematics","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia; University of British Columbia Hospital","funders":"","keywords":"Selection (genetic algorithm); Model selection; Computer science; Estimation; Artificial intelligence; Engineering; Systems 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":[],"consensus_categories":[],"category_scores_codex":[0.002535644,0.000129462,0.0001963663,0.00007144042,0.0002162134,0.0000272366,0.0001003079,0.00007220227,0.000009391007],"category_scores_gemma":[0.0008289247,0.0001120325,0.0001023637,0.00008381117,0.00001196927,0.000226019,0.00001032884,0.0007379502,0.000003582337],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006926846,"about_ca_system_score_gemma":0.0006007701,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001957306,"about_ca_topic_score_gemma":0.0001217731,"domain_scores_codex":[0.9980074,0.00008751939,0.0003121698,0.0001707496,0.0001661534,0.001255995],"domain_scores_gemma":[0.9990698,0.000473729,0.0001600943,0.00008595899,0.000139168,0.00007132031],"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":[0.00003902489,0.00003570687,5.132017e-7,0.000007416149,0.00002835662,4.733825e-8,0.00005172815,0.02277098,0.0005063147,0.6966416,0.000108081,0.2798102],"study_design_scores_gemma":[0.0002855567,0.00009029453,2.587597e-7,0.000004894796,0.0000353268,0.00007855111,0.00003352457,0.4857341,0.0001977332,0.5132426,0.0002285532,0.00006862821],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.000680803,0.0001234147,0.9979036,0.000664769,0.00003845419,0.0002288742,0.000005062306,0.00005301951,0.0003020116],"genre_scores_gemma":[0.04183177,0.0001188617,0.9556724,0.00009267344,0.0002437571,0.00003355008,0.000001716117,0.0000331069,0.001972138],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.4629631,"threshold_uncertainty_score":0.4568553,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07916699496473731,"score_gpt":0.4519524346122306,"score_spread":0.3727854396474933,"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."}}