{"id":"W3124077671","doi":"10.1504/ijemr.2016.075324","title":"Whether or not to use a quick response code in the ad","year":2016,"lang":"en","type":"article","venue":"International Journal of Electronic Marketing and Retailing","topic":"QR Code Applications and Technologies","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Competitor analysis; Marketing; Code (set theory); Empirical research; Business; Advertising; Computer science; Mathematics; Statistics","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":[],"consensus_categories":[],"category_scores_codex":[0.003466389,0.00006627933,0.00008717384,0.0002045756,0.00004602694,0.0001400283,0.0009174258,0.00003500408,0.000006324262],"category_scores_gemma":[0.001769888,0.00003164781,0.00003705367,0.0001682059,0.00002890657,0.0002338945,0.0001169503,0.0001736372,0.000002033982],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009895217,"about_ca_system_score_gemma":0.000139814,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005215551,"about_ca_topic_score_gemma":0.00004097365,"domain_scores_codex":[0.998938,0.0002051333,0.0002703842,0.0001347423,0.0002726003,0.0001790935],"domain_scores_gemma":[0.9976917,0.001799186,0.0001451231,0.0001750611,0.0001644748,0.00002447549],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.007067484,0.0001323945,0.006604661,0.00000687309,0.0001453977,0.0001631483,0.00171829,0.0000640728,0.08889592,0.02622632,0.0006630204,0.8683124],"study_design_scores_gemma":[0.006907881,0.00274819,0.2301207,0.002685471,0.00005699891,0.00658368,0.002120412,0.02579133,0.02254846,0.02355383,0.6755617,0.00132128],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9027463,0.0001411862,0.05883259,0.03809652,0.00006949488,0.00005876432,0.000001183508,0.00001822399,0.00003572512],"genre_scores_gemma":[0.9931161,0.0003579366,0.005791671,0.0004054415,0.00002713336,0.000004140856,4.065515e-8,0.000003963882,0.0002935756],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8669912,"threshold_uncertainty_score":0.2118849,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02102485178246718,"score_gpt":0.2929653103644289,"score_spread":0.2719404585819618,"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."}}