{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002516727,0.0002755708,0.0003086081,0.0009992499,0.0003215668,0.0005718556,0.0003627752,0.0002106684,0.001586577],"category_scores_gemma":[0.006105705,0.0002193839,0.0005468269,0.0007040681,0.0003898539,0.0003896285,0.0007850044,0.0003988407,0.0001923072],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003875457,"about_ca_system_score_gemma":0.0005133296,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00598063,"about_ca_topic_score_gemma":0.00924415,"domain_scores_codex":[0.9989353,0.0004093162,0.0001599292,0.0001210483,0.0002788604,0.00009549083],"domain_scores_gemma":[0.9969446,0.0009557363,0.001079931,0.0001737192,0.0005826863,0.0002633464],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00004633651,0.00007475278,0.9861856,0.00003840552,0.00009892609,0.00003011418,0.000873761,0.0001098546,0.0003387579,0.0001270666,0.0002655565,0.01181096],"study_design_scores_gemma":[0.000004205087,0.00004796325,0.9986388,0.00001689199,0.00001260092,0.00004369254,0.0005573939,0.0002201289,0.00007981036,0.00004127764,0.0003333503,0.000003870116],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9975147,0.0001027028,0.0004658822,0.00004346301,0.000009637728,0.0001263484,0.0004890339,0.000007090791,0.001241252],"genre_scores_gemma":[0.9976609,0.00007720536,0.001231231,0.00001992623,0.000003488972,0.0001451829,0.0006187808,0.000004450236,0.0002388997],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00598063,"threshold_uncertainty_score":0.0133099,"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."}}