{"id":"W4387573002","doi":"10.3390/sym15101905","title":"Model Selection in Generalized Linear Models","year":2023,"lang":"en","type":"article","venue":"Symmetry","topic":"Statistical Methods and Bayesian Inference","field":"Mathematics","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Windsor","funders":"University of Windsor","keywords":"Generalized linear model; Negative binomial distribution; Model selection; Mathematics; Wald test; Selection (genetic algorithm); Poisson regression; Binomial regression; Statistics; Poisson distribution; Likelihood-ratio test; Regression analysis; Linear regression; Linear model; Count data; Binomial (polynomial); Stepwise regression; Statistical hypothesis testing; Computer science; Population; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.03681196,0.002950508,0.004543283,0.003856598,0.001166335,0.003514213,0.00361221,0.002121826,0.006596493],"category_scores_gemma":[0.104305,0.001287794,0.004175384,0.00552824,0.00211028,0.002512686,0.003140439,0.004325596,0.002110034],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001860736,"about_ca_system_score_gemma":0.003880473,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005015198,"about_ca_topic_score_gemma":0.003818092,"domain_scores_codex":[0.9348341,0.05776978,0.001347,0.002573877,0.00300207,0.0004731441],"domain_scores_gemma":[0.9178619,0.07454938,0.002500111,0.002419569,0.002358843,0.000310269],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.000272272,0.0001634919,0.005112576,0.002362396,0.002543853,0.0008510923,0.0007918879,0.3706784,0.0006123798,0.337166,0.01575211,0.2636935],"study_design_scores_gemma":[0.0001181267,0.0001536861,0.0009082878,0.0003471922,0.0002547068,0.0001660834,0.0001292822,0.5963257,0.0003840502,0.3911308,0.009997699,0.0000843418],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.001904013,0.00150414,0.9940497,0.0006140147,0.0001238329,0.0001994013,0.0002905591,0.0003971152,0.0009172827],"genre_scores_gemma":[0.1399877,0.005275505,0.8450276,0.0007330612,0.0007306379,0.002966865,0.00199997,0.0005109825,0.0027676],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.03681196,"threshold_uncertainty_score":0.1946826,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1444628970261127,"score_gpt":0.4047763052497834,"score_spread":0.2603134082236707,"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."}}