{"id":"W2985583291","doi":"","title":"Assessing Response Format Effects on the Scaling of Marketing Stimuli","year":2014,"lang":"en","type":"article","venue":"Digital Commons - Lingnan (Lingnan University)","topic":"Behavioral and Psychological Studies","field":"Psychology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Computer science; Marketing; Business","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":[0.001358521,0.0002888438,0.0003853301,0.0002461107,0.0005893317,0.0001762489,0.0006046247,0.0001667539,0.0000722101],"category_scores_gemma":[0.0008502948,0.0002143365,0.0002421239,0.000623588,0.0002901279,0.0003017729,0.000249257,0.000462303,0.0001101233],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005682946,"about_ca_system_score_gemma":0.00001517342,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002039317,"about_ca_topic_score_gemma":0.000005392411,"domain_scores_codex":[0.9975331,0.001013588,0.0003184033,0.0004076794,0.0002432801,0.0004838994],"domain_scores_gemma":[0.9927076,0.006283977,0.0002642078,0.0005197289,0.00009889187,0.0001255577],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.02121778,0.002991244,0.2610384,0.0002910022,0.0008046961,0.0007453357,0.008272686,0.0002472309,0.003561474,0.08117034,0.006775768,0.6128841],"study_design_scores_gemma":[0.005640979,0.003134877,0.740641,0.002721775,0.0003876014,0.00004674054,0.01467127,0.000468722,0.002502191,0.001710025,0.2259404,0.002134459],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9007661,0.00007103786,0.0006426101,0.0004199696,0.0004196094,0.0002221305,0.00001670925,0.0001415052,0.09730031],"genre_scores_gemma":[0.9983282,0.000003683398,0.00008895424,0.0001834919,0.00007926677,0.000001967787,0.000008007907,0.00002508085,0.001281328],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6107496,"threshold_uncertainty_score":0.8740389,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1270496860002254,"score_gpt":0.3053613087808559,"score_spread":0.1783116227806306,"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."}}