{"id":"W2114026213","doi":"10.5430/ijfr.v6n1p43","title":"Modelling the Antecedent and Consequence of Consumer Perceived Deception in Loan Services","year":2014,"lang":"en","type":"article","venue":"International Journal of Financial Research","topic":"Customer Service Quality and Loyalty","field":"Business, Management and Accounting","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Loan; Generalizability theory; Structural equation modeling; Antecedent (behavioral psychology); Service provider; Context (archaeology); Business; Marketing; Financial services; Service (business); Deception; Service quality; Psychology; Finance; Social psychology; Computer science","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":[0.00321177,0.0003974269,0.0003580789,0.0008115534,0.0005811955,0.001768827,0.0006133117,0.001026174,0.003424338],"category_scores_gemma":[0.02089201,0.0003433018,0.0006913738,0.0009068431,0.001037945,0.001463987,0.001381209,0.001738968,0.0001811585],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002180028,"about_ca_system_score_gemma":0.002632505,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01503929,"about_ca_topic_score_gemma":0.01321757,"domain_scores_codex":[0.9984669,0.0007696265,0.000126212,0.0001417068,0.0002369702,0.0002585687],"domain_scores_gemma":[0.9690131,0.02244546,0.005239407,0.000911016,0.001868853,0.0005221934],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003438092,0.0008679923,0.9568824,0.0002020647,0.0001690331,0.0008579748,0.005176639,0.0119894,0.0008459807,0.007994722,0.0003030288,0.01436693],"study_design_scores_gemma":[0.00008641618,0.001063653,0.8003641,0.0002311927,0.0004138423,0.0004467657,0.01202214,0.1733193,0.00140492,0.00946868,0.001114315,0.00006480258],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9962223,0.00007300635,0.001805166,0.0003134412,0.000005434721,0.00004792908,0.0000569275,0.000004956966,0.001470868],"genre_scores_gemma":[0.9992235,0.00005612725,0.0005086544,0.0000156402,0.00000253539,0.00001949944,0.00004451228,9.284032e-7,0.0001286989],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01503929,"threshold_uncertainty_score":0.02990353,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06772143352333163,"score_gpt":0.3499578552825635,"score_spread":0.2822364217592319,"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."}}