{"id":"W4394912742","doi":"10.5267/j.ijdns.2024.3.016","title":"The effect of marketing via Instagram on generation Z's preference for gyms and the role of brand image as a moderating variable","year":2024,"lang":"en","type":"article","venue":"International Journal of Data and Network Science","topic":"Organizational and Employee Performance","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Advertising; Preference; Business; Brand image; Marketing; Variable (mathematics); Psychology; Economics; Microeconomics; Mathematics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004617819,0.00005794118,0.00009542252,0.0000497307,0.0002384749,0.0004393255,0.001096989,0.00001309853,0.000001165193],"category_scores_gemma":[0.0004966178,0.00002918043,0.00001641746,0.0002420746,0.0002446737,0.00121415,0.0003437619,0.00008148576,1.965426e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000106127,"about_ca_system_score_gemma":0.0001226748,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00000807483,"about_ca_topic_score_gemma":0.000002075759,"domain_scores_codex":[0.9989982,0.00007760788,0.0002625172,0.0001523541,0.0004133576,0.00009599485],"domain_scores_gemma":[0.9980356,0.001348081,0.0001777703,0.000151858,0.0002594961,0.00002725025],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001422207,0.00003865097,0.003940134,0.00009404311,0.0001841225,0.000003566584,0.00114728,0.01268554,0.04654007,0.1569441,0.001016172,0.7759842],"study_design_scores_gemma":[0.0003412794,0.000169464,0.0005353185,0.0001504903,0.000009613997,0.0000558368,0.000007634703,0.9849516,0.006609031,0.006368026,0.0007644086,0.00003731859],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.484287,0.002508733,0.5102036,0.001375194,0.0009817482,0.0002213842,0.00002344003,0.000008794638,0.0003901502],"genre_scores_gemma":[0.9873245,0.0003159034,0.01203984,0.00004053013,0.000260449,0.000001866824,0.000002514916,0.000002459966,0.00001189568],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.972266,"threshold_uncertainty_score":0.4236426,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01251717573000989,"score_gpt":0.2670223632005579,"score_spread":0.2545051874705481,"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."}}