{"id":"W4317622001","doi":"10.1016/j.addbeh.2023.107624","title":"Motives to play videogames across seven countries: Measurement invariance of the Videogaming Motives Questionnaire","year":2023,"lang":"en","type":"article","venue":"Addictive Behaviors","topic":"Impact of Technology on Adolescents","field":"Social Sciences","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Institute on Alcohol Abuse and Alcoholism","keywords":"Measurement invariance; Recreation; Psychology; Sample (material); Metric (unit); Social psychology; Structural equation modeling; Confirmatory factor analysis; Political science; Statistics; Mathematics; Marketing","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001506395,0.0002112014,0.000275584,0.0001351425,0.001083785,0.00006483501,0.0008498788,0.0002062462,0.00004649991],"category_scores_gemma":[0.00229441,0.0001805491,0.0001263547,0.001238986,0.001399435,0.0003632605,0.0003192599,0.0002749861,0.0001061347],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005924936,"about_ca_system_score_gemma":0.0003178585,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001662201,"about_ca_topic_score_gemma":0.0024379,"domain_scores_codex":[0.997111,0.0003368579,0.0003283874,0.0003899923,0.00118483,0.0006489988],"domain_scores_gemma":[0.9986204,0.000105428,0.0002467354,0.0004141515,0.0004695782,0.0001437405],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00006434309,0.0002026492,0.8033655,0.00002323277,0.00009722608,0.00001358673,0.1785599,0.0001301877,0.003374053,0.002430269,0.003382618,0.008356431],"study_design_scores_gemma":[0.0003022113,0.00007116206,0.9509271,0.0005345681,0.00004097592,7.724364e-7,0.03710882,0.000003850066,0.008536382,0.0003079325,0.001966734,0.0001994259],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9936402,0.00008618252,0.0003623278,0.003244451,0.0006798682,0.0008897129,0.0001587553,0.0003986309,0.0005398712],"genre_scores_gemma":[0.9987285,0.00004105811,0.00007456635,0.0002236337,0.00006007104,0.00008085772,0.000001934176,0.00002533093,0.0007640256],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1475617,"threshold_uncertainty_score":0.8335706,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0274633270201398,"score_gpt":0.3387329010414837,"score_spread":0.3112695740213439,"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."}}