{"id":"W4412912639","doi":"10.1063/5.0282121","title":"Enhancing the accuracy of modeling highly multicollinear CO2 emission data using a novel generalized Poisson Liu regression method","year":2025,"lang":"en","type":"article","venue":"AIP Advances","topic":"Advanced Statistical Methods and Models","field":"Mathematics","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Princess Nourah Bint Abdulrahman University","keywords":"Poisson regression; Poisson distribution; Regression; Regression analysis; Computer science; Statistics; Data mining; Mathematics; Environmental health; Medicine","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.01038497,0.0008059657,0.001111188,0.00158399,0.000415139,0.001309657,0.002428439,0.001085293,0.001016193],"category_scores_gemma":[0.04018373,0.0004310809,0.00107207,0.001316271,0.0007151019,0.001949439,0.001925273,0.001099081,0.0003734174],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006554264,"about_ca_system_score_gemma":0.00169437,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00520727,"about_ca_topic_score_gemma":0.004248948,"domain_scores_codex":[0.9963728,0.002185831,0.0001878883,0.0004292677,0.0006942842,0.0001299574],"domain_scores_gemma":[0.9845253,0.01139106,0.001249492,0.0009887108,0.001688055,0.0001574479],"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":[0.0001864434,0.0001268999,0.02196291,0.0002891128,0.0003795317,0.0004334547,0.0003920107,0.7492017,0.006377357,0.03113753,0.002412665,0.1871002],"study_design_scores_gemma":[0.00000947294,0.00002613717,0.0006650272,0.00001214241,0.00001854857,0.00004116483,0.00002158378,0.9940504,0.000754989,0.003772444,0.0006149323,0.00001309673],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.02029562,0.000325211,0.9780843,0.0002020032,0.00003070381,0.00003659835,0.00004940647,0.0003840787,0.0005920898],"genre_scores_gemma":[0.4145944,0.0007334563,0.5816642,0.0003124645,0.0001559074,0.0002260254,0.000413916,0.0002149059,0.001684666],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01038497,"threshold_uncertainty_score":0.05492157,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2351232061773681,"score_gpt":0.5174825572534335,"score_spread":0.2823593510760655,"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."}}