{"id":"W4409109075","doi":"10.5539/ijsp.v14n1p58","title":"Comparisons of Supervised Artificial Neural Networks With Population-Based Statistical Probability Models in Moderate Sized Samples","year":2025,"lang":"en","type":"article","venue":"International Journal of Statistics and Probability","topic":"Forecasting Techniques and Applications","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Artificial neural network; Statistics; Mathematics; Population; Artificial intelligence; Machine learning; Computer science; Demography","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002053974,0.0001252452,0.0004133727,0.0001736071,0.00006915857,0.0001464747,0.0004209927,0.0000584965,0.00004114138],"category_scores_gemma":[0.001679472,0.00009025011,0.00005124998,0.0003059619,0.0002370767,0.0001495981,0.0000673694,0.0002312773,1.219667e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008268491,"about_ca_system_score_gemma":0.000210045,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004109447,"about_ca_topic_score_gemma":0.0008499188,"domain_scores_codex":[0.9972349,0.0002234083,0.001399539,0.0002634572,0.0007406957,0.000138031],"domain_scores_gemma":[0.9947693,0.002779329,0.0005310365,0.0002158628,0.001633695,0.00007080258],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001278581,0.0004287609,0.1671194,0.0000234715,0.00003389766,0.000005027191,0.00007001433,0.5171517,0.00001627474,0.2797686,0.0002960438,0.03380825],"study_design_scores_gemma":[0.0002761834,0.00006254604,0.0659638,0.00002808865,0.000009354293,0.000002150746,0.00001293613,0.5108881,0.00001490868,0.4226873,0.00001156066,0.00004306035],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3231626,0.00001691396,0.6753868,0.0007463645,0.00007072495,0.0002020022,0.0003699657,0.000005695153,0.00003889916],"genre_scores_gemma":[0.7177303,0.000002814047,0.2821697,0.00004137335,0.00001565224,0.000008484694,0.00002521593,0.000003496408,0.000002871975],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.3945678,"threshold_uncertainty_score":0.3680293,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1236438159042191,"score_gpt":0.3830436046490689,"score_spread":0.2593997887448499,"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."}}