{"id":"W2129827556","doi":"10.5539/ijsp.v4n2p1","title":"Model Selection for Poisson Regression via Association Rules Analysis","year":2015,"lang":"en","type":"article","venue":"International Journal of Statistics and Probability","topic":"Data Mining Algorithms and Applications","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Poisson regression; Poisson distribution; Regression analysis; Selection (genetic algorithm); Computer science; Model selection; Regression; Regression diagnostic; Mathematics; Econometrics; Statistics; Machine learning; Polynomial regression; Population","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":[0.0194526,0.001786658,0.003014459,0.004793044,0.001245026,0.00274626,0.003755274,0.001544204,0.003137996],"category_scores_gemma":[0.05430163,0.001114198,0.004486891,0.003980328,0.0008998931,0.002153809,0.002617837,0.003689461,0.001067545],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001200761,"about_ca_system_score_gemma":0.0033055,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00484857,"about_ca_topic_score_gemma":0.004236923,"domain_scores_codex":[0.980296,0.01374897,0.0008503554,0.001888182,0.002731936,0.0004845627],"domain_scores_gemma":[0.9592606,0.03536572,0.001612772,0.001203691,0.002255518,0.0003018192],"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":[0.0002723462,0.0002928058,0.01353223,0.0005420445,0.00101451,0.000789944,0.0002963282,0.6830171,0.001109963,0.0873181,0.005698804,0.2061159],"study_design_scores_gemma":[0.00002697766,0.00004298739,0.0003475387,0.00003531335,0.00006909576,0.00008484411,0.0000336569,0.9654269,0.0003602762,0.0322846,0.001269495,0.00001828336],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.003446733,0.0001979622,0.9954254,0.000151402,0.0000275483,0.0001073441,0.0001169293,0.0001910824,0.0003356433],"genre_scores_gemma":[0.1555955,0.0007969355,0.8393282,0.0002646508,0.000197296,0.001369122,0.001170977,0.0002203834,0.001056905],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0194526,"threshold_uncertainty_score":0.1028764,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03726347752418733,"score_gpt":0.3225111672697547,"score_spread":0.2852476897455674,"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."}}