{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001066078,0.0001758646,0.0001466398,0.0003566009,0.0003002938,0.001455066,0.000125007,0.0002749497,0.004010587],"category_scores_gemma":[0.005896997,0.0001278841,0.0001812818,0.0002189432,0.0004422581,0.0004502046,0.0004123663,0.0003989295,0.0002344609],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002756268,"about_ca_system_score_gemma":0.0001624148,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008258719,"about_ca_topic_score_gemma":0.001864413,"domain_scores_codex":[0.9995207,0.0002075224,0.00002857427,0.00005681891,0.0001406565,0.00004583904],"domain_scores_gemma":[0.9922202,0.003957645,0.002109146,0.0003880788,0.0004830018,0.0008418899],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001278021,0.00110317,0.9416187,0.00006638129,0.0001275707,0.0001767722,0.001825291,0.0003693518,0.02533658,0.0004238914,0.0001800877,0.02749427],"study_design_scores_gemma":[0.000006198337,0.0002287858,0.9977,0.000004550408,0.00001716571,0.00005214446,0.0005738667,0.0003260667,0.0008002818,0.0001301329,0.0001536386,0.000007160805],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.998147,0.00001865311,0.000122972,0.00001706983,0.000002044947,0.000005106314,0.000007180237,0.000002554381,0.001677373],"genre_scores_gemma":[0.9993784,0.0000139087,0.0001750418,0.00001023641,0.000003179603,0.000002358944,0.00001034156,0.000002516002,0.000403818],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004010587,"threshold_uncertainty_score":0.01341677,"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."}}