{"id":"W4254411856","doi":"10.32920/ryerson.14653221","title":"B2C (Business-To-Consumer) mobile marketing for Canadian apparel retailers","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Consumer Retail Behavior Studies","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Business; Clothing; Marketing; Advertising; Mobile device; Sample (material); Computer science; Geography; World Wide Web","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","scholarly_communication","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001010536,0.0007664337,0.0009354422,0.001028671,0.0006431104,0.001576685,0.0008278041,0.0003902299,0.001620318],"category_scores_gemma":[0.001041168,0.0008218313,0.0003903015,0.0009172927,0.00009016575,0.0004265467,0.002164417,0.0005164579,0.0003544995],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003234343,"about_ca_system_score_gemma":0.0006301352,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.2661117,"about_ca_topic_score_gemma":0.6216892,"domain_scores_codex":[0.9963374,0.00002733437,0.0007334194,0.001391859,0.0004113009,0.001098652],"domain_scores_gemma":[0.9967495,0.000174231,0.0003582642,0.001070517,0.00154181,0.0001057281],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001204998,0.0001128143,0.7785187,0.004041176,0.0005951595,0.0001268383,0.0001727612,0.0002487023,0.0001395878,0.0003673577,0.04530546,0.1702509],"study_design_scores_gemma":[0.0007056624,0.00000489313,0.2964149,0.0009660234,0.001050457,0.000004374969,0.002433509,0.001069518,0.0000104652,0.00006642992,0.695168,0.002105751],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9152231,0.002934299,0.0008292511,0.005266931,0.006042467,0.006970596,0.0001740457,0.0008275539,0.06173173],"genre_scores_gemma":[0.9820896,0.0001329348,0.004031851,0.002071022,0.0009391991,0.004561215,0.001103108,0.0002994125,0.004771648],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6498625,"threshold_uncertainty_score":0.9994598,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03293495884999791,"score_gpt":0.2562479993664974,"score_spread":0.2233130405164995,"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."}}