{"id":"W2042520629","doi":"10.1016/j.ijresmar.2012.11.004","title":"When white space is more than “burning money”: Economic signaling meets visual commercial rhetoric","year":2013,"lang":"en","type":"article","venue":"International Journal of Research in Marketing","topic":"Consumer Behavior in Brand Consumption and Identification","field":"Business, Management and Accounting","cited_by":47,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Rhetoric; Context (archaeology); Meaning (existential); White (mutation); Space (punctuation); White spaces; Rhetorical question; Perception; Advertising; Power (physics); Action (physics); Sociology; Economics; Psychology; Business; Art; History; Computer science; Linguistics; Literature","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004121907,0.0005556878,0.0002953038,0.001312426,0.005655278,0.01179946,0.0009888946,0.005933378,0.01721497],"category_scores_gemma":[0.0210209,0.00034488,0.000243827,0.001036756,0.01593447,0.01380407,0.00348534,0.005678008,0.001146565],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002255265,"about_ca_system_score_gemma":0.001296038,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002538582,"about_ca_topic_score_gemma":0.002879847,"domain_scores_codex":[0.9964193,0.002251077,0.00008488415,0.0003612343,0.0005897215,0.0002937379],"domain_scores_gemma":[0.9884356,0.009254836,0.0007291245,0.0005147294,0.0006823087,0.0003832664],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.00009490923,0.00004047414,0.0005173341,0.0001076527,0.00001013507,0.000150599,0.03173332,0.00008105407,0.000785407,0.9369695,0.01710015,0.01240949],"study_design_scores_gemma":[0.00008518707,0.0001088687,0.001873778,0.0006779543,0.00009240075,0.0003481486,0.06361155,0.001783994,0.002402268,0.6414787,0.2874798,0.00005738902],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.08644174,0.002801524,0.01701481,0.1700074,0.003600444,0.00003984055,0.00006806012,0.0001284899,0.7198977],"genre_scores_gemma":[0.9715331,0.0003677491,0.001733304,0.009993351,0.001066396,0.00003873312,0.00001820074,0.0001377328,0.01511141],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01721497,"threshold_uncertainty_score":0.05758983,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05564363430035654,"score_gpt":0.3650213441705445,"score_spread":0.309377709870188,"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."}}