{"id":"W4388899737","doi":"10.1007/s12144-023-05379-2","title":"Modelling gamification, virtual-try-on technology, e-logistics service quality as predictors of online shopping: an empirical investigation","year":2023,"lang":"en","type":"article","venue":"Current Psychology","topic":"Technology Adoption and User Behaviour","field":"Decision Sciences","cited_by":11,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université du Québec à Chicoutimi","funders":"","keywords":"Moderation; Customer satisfaction; Psychology; Context (archaeology); Service quality; Structural equation modeling; Sample (material); Quality (philosophy); Marketing; Advertising; Applied psychology; Service (business); Social psychology; Business; Mathematics; Statistics; Geography","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":[0.002113382,0.000235149,0.0004289354,0.001581735,0.0001566836,0.00003242797,0.001371283,0.0006060734,0.0000882419],"category_scores_gemma":[0.002137629,0.000205659,0.00008552897,0.004298336,0.0006561874,0.0001830407,0.0001695368,0.0006828831,0.0006395197],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003729892,"about_ca_system_score_gemma":0.0001176499,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000007002069,"about_ca_topic_score_gemma":0.00001730683,"domain_scores_codex":[0.9961169,0.0004295418,0.001319857,0.0009920304,0.0007761239,0.000365525],"domain_scores_gemma":[0.9964392,0.0004408576,0.0006122989,0.001557795,0.0007806693,0.0001691551],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001273052,0.001189485,0.8993232,0.00001749616,0.00002563975,0.000003690429,0.0009825124,0.0187527,0.002808844,0.03367092,0.0115393,0.03155889],"study_design_scores_gemma":[0.001288165,0.0007865544,0.7528179,0.00007219454,0.00004756331,0.00001646098,0.002859886,0.06214296,0.0005298904,0.1548223,0.02406977,0.0005463845],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9442034,0.00005316279,0.0378781,0.01489051,0.001846467,0.0002291975,0.000102233,0.0007096137,0.00008732382],"genre_scores_gemma":[0.9977283,0.00009960561,0.0008304761,0.0008335751,0.0001020623,0.00003035934,0.0002431365,0.00002013614,0.0001123302],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1465053,"threshold_uncertainty_score":0.8386532,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4707850888970565,"score_gpt":0.5432957030834935,"score_spread":0.072510614186437,"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."}}