{"id":"W7117531920","doi":"10.6000/1929-6029.2025.14.80","title":"A New Family of Generalized Distributions, with Applications and Benchmarking against Machine Learning Models","year":2025,"lang":"en","type":"article","venue":"International Journal of Statistics in Medical Research","topic":"Statistical Distribution Estimation and Applications","field":"Mathematics","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Exponential family; Estimator; Probability density function; Probability distribution; Laplace distribution; Density estimation; Exponential function; Cumulative distribution function; Function (biology)","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":[0.001765458,0.00009125515,0.0002475675,0.0004104772,0.0000891988,0.00004896665,0.0004067603,0.00007670586,0.0001480784],"category_scores_gemma":[0.004495676,0.00007581702,0.00002920794,0.00050415,0.0002847044,0.00007931107,0.0001160529,0.0007043559,0.000001297313],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001554514,"about_ca_system_score_gemma":0.0007632832,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009804597,"about_ca_topic_score_gemma":0.00004717797,"domain_scores_codex":[0.9970689,0.0001907207,0.0007871626,0.0001455248,0.001627641,0.000180056],"domain_scores_gemma":[0.9945861,0.003290941,0.0002372086,0.0001056742,0.001581897,0.0001982449],"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":[0.00008440227,0.0001483004,0.0005888426,0.00004117657,0.00006591954,0.00002539512,0.00005973486,0.0001951291,0.00008599451,0.909619,0.002783225,0.08630284],"study_design_scores_gemma":[0.001876797,0.00009017654,0.002748539,0.0005471064,0.000025367,0.00002636745,0.0001734862,0.1412971,0.00008827731,0.8473616,0.005671134,0.00009401657],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.003552944,0.0002426357,0.9926354,0.001644938,0.00004750496,0.0001819437,0.0003287758,0.000006804592,0.00135904],"genre_scores_gemma":[0.6392263,0.001323382,0.3588502,0.00009579454,0.0000941315,0.00003879466,0.0001642403,0.00001094192,0.000196209],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.6356734,"threshold_uncertainty_score":0.5382069,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1037897695000281,"score_gpt":0.4643605944552101,"score_spread":0.3605708249551819,"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."}}