{"id":"W4362570482","doi":"10.1007/978-3-031-24687-6_109","title":"Authentic Omnichannel: Providing Consumers with a Seamless Brand Experience Through Authenticity: An Abstract","year":2023,"lang":"en","type":"book-chapter","venue":"Developments in marketing science: proceedings of the Academy of Marketing Science","topic":"Consumer Retail Behavior Studies","field":"Business, Management and Accounting","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"Athabasca University","funders":"","keywords":"Omnichannel; Brand experience; Customer experience; Affect (linguistics); Context (archaeology); Moderation; Marketing; Advertising; Product (mathematics); Business; Relevance (law); Psychology; New product development; Social psychology; Product management; Political science; Mathematics","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":[0.0008346977,0.0004403281,0.0001849007,0.0003575523,0.001012474,0.005518145,0.0008919575,0.001155153,0.009224846],"category_scores_gemma":[0.001162371,0.000189516,0.0002767034,0.0004141361,0.002533803,0.006829063,0.003970823,0.001698132,0.00181467],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005368471,"about_ca_system_score_gemma":0.0006865083,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003755708,"about_ca_topic_score_gemma":0.0005658387,"domain_scores_codex":[0.9995167,0.0001538776,0.00001373398,0.00005389427,0.0002016752,0.00006005344],"domain_scores_gemma":[0.9996186,0.0001434895,0.00002449142,0.00006727141,0.00007367006,0.00007241277],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001707702,0.0002339254,0.0006823106,0.0005396655,0.00001401894,0.0004988452,0.01668363,0.0005419597,0.01115473,0.4984406,0.03385943,0.4371802],"study_design_scores_gemma":[0.00003638686,0.0003262129,0.001378752,0.0006132055,0.00005048338,0.002984431,0.01042593,0.004335928,0.01740588,0.176796,0.7855494,0.00009735204],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.08872895,0.01896403,0.1695143,0.01199236,0.001541673,0.0001843653,0.0001204496,0.001037117,0.7079168],"genre_scores_gemma":[0.5749601,0.01276426,0.05423823,0.002672265,0.0006371767,0.0001711234,0.0001563574,0.0004831271,0.3539174],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.009224846,"threshold_uncertainty_score":0.03086013,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0444893342606517,"score_gpt":0.2870567610357282,"score_spread":0.2425674267750765,"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."}}