{"id":"W1977858815","doi":"10.5539/ijsp.v2n3p96","title":"Discriminating Among Several Semiparametric Models","year":2013,"lang":"en","type":"article","venue":"International Journal of Statistics and Probability","topic":"Advanced Statistical Methods and Models","field":"Mathematics","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Mathematics; Bayesian information criterion; Semiparametric model; Kullback–Leibler divergence; Semiparametric regression; Optimality criterion; Applied mathematics; Statistics; Parametric statistics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01597832,0.001477023,0.001686751,0.003237464,0.0008833279,0.003598696,0.002001233,0.002455328,0.00348842],"category_scores_gemma":[0.03379846,0.0006353932,0.003136608,0.001360975,0.001579189,0.003355555,0.003754663,0.002887793,0.000703267],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001021839,"about_ca_system_score_gemma":0.001738452,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001141137,"about_ca_topic_score_gemma":0.0009866073,"domain_scores_codex":[0.9911412,0.004309669,0.0007362448,0.001569605,0.001626043,0.0006173153],"domain_scores_gemma":[0.9684032,0.02341516,0.00238741,0.003316872,0.001741232,0.0007361376],"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":[0.00127917,0.000749451,0.06747025,0.0008134088,0.001454048,0.002205384,0.001203161,0.2725477,0.01254929,0.3172559,0.00551719,0.3169551],"study_design_scores_gemma":[0.00004874984,0.0002414398,0.004676781,0.00006772144,0.0001470716,0.0006832162,0.000194645,0.8474544,0.002227985,0.1421475,0.002024814,0.00008569443],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.077542,0.0002982887,0.9190295,0.0004302797,0.00005284804,0.0000860655,0.0001756118,0.0003030488,0.002082318],"genre_scores_gemma":[0.8125591,0.000250944,0.1831967,0.0003438405,0.0001272262,0.0002089581,0.0008139221,0.0001026258,0.002396715],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01597832,"threshold_uncertainty_score":0.08450246,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09285532821862373,"score_gpt":0.3894799715589785,"score_spread":0.2966246433403548,"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."}}