{"id":"W2969338320","doi":"10.1002/cjas.1545","title":"Making an exciting brand big: Brand personality, logo size and brand evaluation","year":2019,"lang":"en","type":"article","venue":"Canadian Journal of Administrative Sciences / Revue Canadienne des Sciences de l Administration","topic":"Consumer Behavior in Brand Consumption and Identification","field":"Business, Management and Accounting","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Fundamental Research Funds for Central Universities of the Central South University; National Natural Science Foundation of China","keywords":"Logo (programming language); Advertising; Moderation; Consumption (sociology); Personality; Brand awareness; Brand management; Brand extension; Product (mathematics); Fluency; Psychology; Processing fluency; Product category; Business; Marketing; Social psychology; Computer science; Art; Aesthetics; 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":["sts","scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.004866645,0.0002353898,0.0002867962,0.0005288806,0.001658463,0.002229105,0.0005591905,0.0001003859,0.0006794441],"category_scores_gemma":[0.0009234437,0.0002298742,0.00008989696,0.0010573,0.002107164,0.003262658,0.0000208049,0.0002140124,0.00001285901],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003147539,"about_ca_system_score_gemma":0.002988984,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005844836,"about_ca_topic_score_gemma":0.3783666,"domain_scores_codex":[0.9976773,0.0001341133,0.0006370546,0.0005322864,0.0004037902,0.0006154355],"domain_scores_gemma":[0.9978826,0.0001841041,0.0007390551,0.000170437,0.0007338974,0.0002898728],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002460218,0.0001569074,0.7939007,0.0005416214,0.00007319287,0.0001898778,0.01240353,0.0004762207,0.01871859,0.0385286,0.0002296737,0.134535],"study_design_scores_gemma":[0.001398911,0.0006460181,0.9478968,0.0005244557,0.0002185266,0.00123294,0.01809319,0.00961283,0.0003236847,0.01701648,0.002306146,0.0007299844],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9920203,0.0003020115,0.00008086529,0.0008533451,0.0007934524,0.0003656166,0.00001568698,0.00001245434,0.00555625],"genre_scores_gemma":[0.9983644,0.00001178837,0.0006619438,0.0003826022,0.0004110957,0.000008369384,0.000009396767,0.00001105605,0.000139345],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3725217,"threshold_uncertainty_score":0.9996412,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2335142498381893,"score_gpt":0.3676519450522472,"score_spread":0.1341376952140579,"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."}}