{"id":"W4407348889","doi":"10.1002/ijop.70018","title":"Modelling Count Data in Psychological Research: An Applied Tutorial","year":2025,"lang":"en","type":"article","venue":"International Journal of Psychology","topic":"Statistical Methods and Bayesian Inference","field":"Mathematics","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"","keywords":"Count data; Linear regression; Regression analysis; Psychology; Statistics; Regression; Computer science; Mathematics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00395964,0.00008984214,0.0002600423,0.0004676491,0.00002953054,0.00005568459,0.001655225,0.0001419182,0.0001865822],"category_scores_gemma":[0.001566348,0.00007302393,0.00003239142,0.0002113209,0.0001562747,0.0001334339,0.0001550402,0.0007088034,0.000008361115],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007000678,"about_ca_system_score_gemma":0.00007353961,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001330768,"about_ca_topic_score_gemma":0.00001011674,"domain_scores_codex":[0.9978604,0.0003948803,0.0007114599,0.0002838931,0.0005404619,0.0002089036],"domain_scores_gemma":[0.997288,0.001542613,0.0001825025,0.0004305083,0.0004919272,0.00006441173],"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":[0.0008315988,0.0007190747,0.0003206791,0.000006174394,0.00006085773,0.0001481767,0.0001246759,0.00003363391,0.0005009496,0.8986397,0.006093725,0.0925208],"study_design_scores_gemma":[0.001150915,0.0001434901,0.0009393369,0.00006017741,0.000008565913,0.00006714566,0.00005802524,0.003424854,0.00001904404,0.9875264,0.006538038,0.00006396422],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.02306216,0.00003982307,0.9568155,0.001808415,0.003410565,0.00008440295,0.00002508124,0.000008445327,0.01474554],"genre_scores_gemma":[0.4345433,0.00006660169,0.5640713,0.0004294728,0.0008426288,0.000003947316,0.000006253566,0.000007987838,0.00002854868],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.4114811,"threshold_uncertainty_score":0.3079437,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.5358199338526047,"score_gpt":0.6299182002046492,"score_spread":0.09409826635204444,"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."}}