{"id":"W2163635559","doi":"10.2307/20650285","title":"Assessing Between-Group Differences in Information Systems Research: A Comparison of Covariance- and component-Based SEM1","year":2009,"lang":"en","type":"article","venue":"MIS Quarterly","topic":"Technology Adoption and User Behaviour","field":"Decision Sciences","cited_by":328,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"","keywords":"Component (thermodynamics); Group (periodic table); Covariance; Information system; Computer science; Econometrics; Statistics; Mathematics; Engineering; Chemistry; Physics","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":[0.002861431,0.0001107949,0.000432519,0.000909575,0.0001394413,0.0004789483,0.0004217599,0.0001727105,0.00001249813],"category_scores_gemma":[0.0001920798,0.00008868681,0.00003483756,0.0008665784,0.0001866974,0.0008912017,0.00001217666,0.0003398652,0.00002882957],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003597958,"about_ca_system_score_gemma":0.00004147361,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001803088,"about_ca_topic_score_gemma":0.00004905356,"domain_scores_codex":[0.9970869,0.0004812411,0.0009335902,0.000229592,0.001016066,0.0002526134],"domain_scores_gemma":[0.9982871,0.0007412591,0.0003179908,0.0003464861,0.0002336708,0.00007345559],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0000283099,0.0001446571,0.8629521,0.00001296243,0.00000330168,0.000002298289,0.003063175,0.00001611612,0.001034496,0.002046699,0.0003048609,0.130391],"study_design_scores_gemma":[0.000669567,0.0005513307,0.9751596,0.00009792177,0.000004164061,0.000001457037,0.01352921,0.008259165,0.00007645073,0.00120202,0.0003515106,0.00009763418],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9825385,0.0001124775,0.01608032,0.0007146305,0.0000931064,0.0002080418,0.00001113373,0.00004878788,0.0001930507],"genre_scores_gemma":[0.9990597,7.887622e-7,0.0008671099,0.0000275607,0.00001376248,0.000007208696,0.00001060533,0.000002457093,0.00001076993],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1302934,"threshold_uncertainty_score":0.4618509,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3407211909220531,"score_gpt":0.4688614732377095,"score_spread":0.1281402823156564,"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."}}