{"id":"W4402140691","doi":"10.1177/2694105820210103004","title":"Designing Omni-Channel Retailing to Align Financial Performance with Strategy","year":2021,"lang":"en","type":"article","venue":"Management and business review.","topic":"Consumer Retail Behavior Studies","field":"Business, Management and Accounting","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Kellogg's (Canada)","funders":"","keywords":"Business; Channel (broadcasting); Finance; Computer science; Telecommunications","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":[0.002453987,0.0003600204,0.0002534776,0.0009836353,0.0007089106,0.003820515,0.0005482471,0.0006502393,0.003844252],"category_scores_gemma":[0.003561805,0.0002859475,0.0002746078,0.0008899312,0.001026944,0.002646615,0.001231482,0.0005206366,0.001060619],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001248949,"about_ca_system_score_gemma":0.001297603,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001225208,"about_ca_topic_score_gemma":0.003748357,"domain_scores_codex":[0.9989588,0.0004358693,0.00003802302,0.0001244692,0.0003020439,0.0001408169],"domain_scores_gemma":[0.9987135,0.0005305447,0.0001221501,0.0001065604,0.0003894182,0.0001378708],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0003952202,0.0004199653,0.01669537,0.001036894,0.0001019301,0.0004082336,0.001561072,0.02275379,0.01206482,0.2747386,0.0238843,0.6459397],"study_design_scores_gemma":[0.0004649409,0.002310938,0.02910722,0.0008926265,0.0005201066,0.001342866,0.01036937,0.1392943,0.03955648,0.2744804,0.5013319,0.000328723],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.2450887,0.006267094,0.364052,0.007291049,0.0004556827,0.001038181,0.00030018,0.00185045,0.3736567],"genre_scores_gemma":[0.8183352,0.003928954,0.1539754,0.001343848,0.00009446217,0.0003317685,0.0001768538,0.0002686961,0.02154469],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003844252,"threshold_uncertainty_score":0.01297808,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03067491113434519,"score_gpt":0.2389639173402794,"score_spread":0.2082890062059342,"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."}}