{"id":"W4313368111","doi":"10.1016/j.jbusres.2022.113564","title":"A thematic exploration of the evolution of research in multichannel marketing","year":2022,"lang":"en","type":"article","venue":"Journal of Business Research","topic":"Consumer Market Behavior and Pricing","field":"Business, Management and Accounting","cited_by":28,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Guelph; McMaster University","funders":"","keywords":"Scope (computer science); Marketing; The Internet; Marketing research; Set (abstract data type); Thematic analysis; Domain (mathematical analysis); Data science; Sociology; Political science; Business; Computer science; Qualitative research; World Wide Web; Social 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":["bibliometrics"],"consensus_categories":[],"category_scores_codex":[0.03097082,0.0004654812,0.0008791307,0.01554045,0.003904451,0.0175244,0.001579935,0.00274719,0.005640437],"category_scores_gemma":[0.02762677,0.0003905948,0.0007773845,0.02381635,0.01274314,0.01948281,0.008199896,0.003365616,0.0004428318],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.009010851,"about_ca_system_score_gemma":0.01619512,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003737978,"about_ca_topic_score_gemma":0.006257057,"domain_scores_codex":[0.9909378,0.005406437,0.0004778046,0.0008917737,0.001485243,0.0008008844],"domain_scores_gemma":[0.9295304,0.05469899,0.00315119,0.002865511,0.006914191,0.002839588],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"qualitative","study_design_scores_codex":[0.0001513129,0.0001227193,0.007093944,0.003613019,0.00008270786,0.0003005989,0.057837,0.0004234816,0.00294179,0.5257328,0.02374612,0.3779545],"study_design_scores_gemma":[0.00002217354,0.0001423757,0.01853448,0.009065975,0.00005184835,0.0007392664,0.06740798,0.001068289,0.00119758,0.1031973,0.7985061,0.00006656241],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.1014678,0.5084774,0.0226508,0.2402765,0.01153487,0.0002616516,0.0005735005,0.0002027298,0.1145547],"genre_scores_gemma":[0.6089814,0.2783689,0.03186988,0.03910311,0.01420274,0.0003978906,0.0005341456,0.0005226005,0.02601934],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9844595,"threshold_uncertainty_score":0.1637914,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1811302765532893,"score_gpt":0.3760813911130502,"score_spread":0.1949511145597609,"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."}}