{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.0169256,0.0001456156,0.0002767791,0.0009394297,0.0002416856,0.0002086255,0.0005578532,0.00007111981,0.0008546209],"category_scores_gemma":[0.00838941,0.00009250954,0.0001448077,0.0006234455,0.0001535745,0.0005761349,0.000362937,0.0006063646,0.00006136447],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001125754,"about_ca_system_score_gemma":0.0001508779,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001894937,"about_ca_topic_score_gemma":0.0003364846,"domain_scores_codex":[0.9972036,0.0003231282,0.000561854,0.0001979062,0.001122715,0.0005907954],"domain_scores_gemma":[0.9953023,0.002465585,0.0004093448,0.0002445726,0.001530961,0.0000472509],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001907514,0.0002637415,0.5518603,0.0001977458,0.00008102641,0.0002759644,0.0000764307,0.000002145268,0.01478398,0.000350363,0.02997051,0.4002303],"study_design_scores_gemma":[0.001643406,0.00005335364,0.8227745,0.001143143,0.00006737303,0.00005281492,0.0007572641,0.0001037036,0.00009046061,0.0009961108,0.1720498,0.0002680732],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9847213,0.0002841809,0.00004854365,0.01066687,0.000380494,0.0001141424,0.000005131466,0.00002535279,0.003753972],"genre_scores_gemma":[0.9954652,0.0001995968,0.0001705011,0.0001691815,0.002389077,0.000001869812,0.000002753642,0.00003325904,0.001568549],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3999622,"threshold_uncertainty_score":0.9999633,"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."}}