{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.009835339,0.001792548,0.002891975,0.002595124,0.001504803,0.001498602,0.002846003,0.001850777,0.011102],"category_scores_gemma":[0.03195144,0.001206933,0.003882359,0.002553906,0.001018438,0.001842408,0.002369594,0.00353269,0.004279253],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007106849,"about_ca_system_score_gemma":0.003098402,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004114102,"about_ca_topic_score_gemma":0.005675777,"domain_scores_codex":[0.990904,0.007163586,0.0003289304,0.0007596824,0.0006682235,0.0001754513],"domain_scores_gemma":[0.9770384,0.01845151,0.0005034427,0.001977352,0.001770971,0.000258358],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0006084712,0.0002916874,0.002748576,0.0005891079,0.001672465,0.0004909069,0.0002613413,0.1830326,0.004120182,0.1565031,0.02051473,0.6291668],"study_design_scores_gemma":[0.0001567702,0.0002433503,0.0006911597,0.00008493383,0.0002507078,0.000240479,0.00004579827,0.8816609,0.001893244,0.1066585,0.008001099,0.00007304332],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0006098248,0.00007257474,0.9986523,0.00006616027,0.00003592782,0.00004381965,0.00006352869,0.0002238826,0.0002319824],"genre_scores_gemma":[0.04600284,0.0003225652,0.9480843,0.0002086355,0.0002149492,0.0006802985,0.0009240367,0.0003939356,0.003168427],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.011102,"threshold_uncertainty_score":0.05201483,"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."}}