{"id":"W2946848999","doi":"10.5539/ass.v15n6p44","title":"The Influence of User Generated Content on Purchase Intention of Automobiles in Sri Lanka","year":2019,"lang":"en","type":"article","venue":"Asian Social Science","topic":"Digital Marketing and Social Media","field":"Social Sciences","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Gratification; Affect (linguistics); Psychology; Homophily; Advertising; Sri lanka; Sample (material); Descriptive statistics; Frame (networking); Social psychology; Computer science; Business; Statistics; Mathematics; Sociology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004919715,0.0002115831,0.0001553918,0.0007606064,0.0004443628,0.001270234,0.0001859655,0.000292108,0.002924791],"category_scores_gemma":[0.002858659,0.0001426068,0.0003851918,0.0005506515,0.000318251,0.0004475935,0.0004202093,0.0004864468,0.0003207487],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005798606,"about_ca_system_score_gemma":0.0007782755,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01831329,"about_ca_topic_score_gemma":0.02554128,"domain_scores_codex":[0.9994618,0.0002033307,0.00003938556,0.00004815786,0.0001352538,0.0001120613],"domain_scores_gemma":[0.9963388,0.001881975,0.0006336271,0.0001461982,0.0006583334,0.0003409772],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00008841353,0.0002650281,0.9757337,0.00008684563,0.00009111722,0.0005608095,0.005951914,0.0001812202,0.001468569,0.0003036221,0.0003089725,0.01495982],"study_design_scores_gemma":[0.000002975052,0.0001391689,0.9891883,0.00003090325,0.00005998138,0.0001354394,0.008492822,0.0007604742,0.0004028548,0.00007072686,0.0007031423,0.0000132905],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9980873,0.00005219745,0.00005126993,0.00005697536,0.00000179501,0.000007113018,0.00003735994,0.000003198063,0.00170271],"genre_scores_gemma":[0.9993825,0.00006888065,0.00008469103,0.00001234943,0.000002087706,0.00000515293,0.0000454073,0.000001425708,0.0003973966],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01831329,"threshold_uncertainty_score":0.03641337,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01955682510234143,"score_gpt":0.2949632558573388,"score_spread":0.2754064307549974,"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."}}