{"id":"W2532859047","doi":"10.1509/jmr.14.0518","title":"Can Offline Stores Drive Online Sales?","year":2016,"lang":"en","type":"article","venue":"Journal of Marketing Research","topic":"Consumer Market Behavior and Pricing","field":"Business, Management and Accounting","cited_by":273,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Complementarity (molecular biology); Online and offline; Business; Advertising; Marketing; Commerce; Computer science","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":[0.00102135,0.0003431496,0.0005937769,0.001560334,0.0008976113,0.003777618,0.000769843,0.001205155,0.02150816],"category_scores_gemma":[0.01011525,0.000464462,0.0007622496,0.00176936,0.000943327,0.003124826,0.00157893,0.001383823,0.002200211],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004905933,"about_ca_system_score_gemma":0.0005748314,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01019695,"about_ca_topic_score_gemma":0.01061061,"domain_scores_codex":[0.9991655,0.0002727039,0.0000529588,0.0001688076,0.0001677323,0.0001722518],"domain_scores_gemma":[0.977259,0.01363216,0.005387988,0.0009619083,0.001074214,0.001684683],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004403098,0.0006459408,0.9745184,0.000142403,0.0002414897,0.0002862083,0.002047334,0.0001979488,0.0001649558,0.002418029,0.001267858,0.01762922],"study_design_scores_gemma":[0.0000387216,0.0003114918,0.981698,0.0001507026,0.0002536386,0.0001771021,0.008389031,0.0009057561,0.0003017378,0.002402815,0.005343976,0.00002711786],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.980522,0.001097478,0.0003194158,0.001302662,0.00004718488,0.00002638782,0.0005524093,0.00001345937,0.01611884],"genre_scores_gemma":[0.9953215,0.0005231102,0.0001768749,0.0001586044,0.00005309838,0.00001484504,0.0003432927,0.000008790471,0.003399899],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02150816,"threshold_uncertainty_score":0.07195193,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06872703667537582,"score_gpt":0.3436472640334824,"score_spread":0.2749202273581066,"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."}}