{"id":"W2146753116","doi":"10.1111/j.1368-423x.2007.00209.x","title":"A model selection method for S‐estimation","year":2007,"lang":"en","type":"article","venue":"Econometrics Journal","topic":"Advanced Statistical Methods and Models","field":"Mathematics","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Social Sciences and Humanities Research Council of Canada; Ben-Gurion University of the Negev","keywords":"Selection (genetic algorithm); Estimation; Library science; Model selection; Columbia university; Operations research; History; Econometrics; Statistics; Computer science; Economics; Sociology; Management; Mathematics; Media studies; Artificial intelligence","routes":{"ca_aff":true,"ca_fund":true,"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":[0.004114106,0.00009961003,0.0002076144,0.000557722,0.000193329,0.00005762763,0.00008612492,0.00007289802,0.00003867369],"category_scores_gemma":[0.00489474,0.00009258393,0.00009521839,0.0004160836,0.00001077153,0.0002269262,0.00001261695,0.0002089811,0.000002871905],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001798121,"about_ca_system_score_gemma":0.0000442359,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":4.543667e-7,"about_ca_topic_score_gemma":0.000002334065,"domain_scores_codex":[0.9989527,0.00003281979,0.0004694616,0.0001474997,0.0001147311,0.0002827751],"domain_scores_gemma":[0.996738,0.002562152,0.0002670891,0.00007556632,0.0001974141,0.000159765],"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":[0.00005138903,0.0000731095,0.00002787989,0.00003381196,0.00003034271,0.000001394921,0.0001069255,0.02508862,0.0001663999,0.5442941,0.001049895,0.4290761],"study_design_scores_gemma":[0.0002195974,0.00005001581,0.00001750334,0.000003359821,0.00001702121,0.00004225181,0.0000124041,0.4827871,0.0002245141,0.5162283,0.0003360347,0.00006196354],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.001084023,0.00003776595,0.9968632,0.00008092855,0.000192982,0.0001732975,0.00001302926,0.00002859064,0.001526194],"genre_scores_gemma":[0.01811392,0.0000122145,0.9811515,0.0000800974,0.0001730827,0.000007734859,0.000001454415,0.00002326185,0.0004367857],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.4576984,"threshold_uncertainty_score":0.5859815,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3072701141490533,"score_gpt":0.5026012081409788,"score_spread":0.1953310939919254,"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."}}