{"id":"W3207914567","doi":"10.32920/ryerson.14653221.v1","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; Sample (material); Advertising; Mobile device; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000765641,0.0003272216,0.0001524997,0.001648486,0.006953262,0.002850097,0.0004343812,0.0003820063,0.01498004],"category_scores_gemma":[0.002856799,0.0002133415,0.0002552368,0.003984569,0.0006412768,0.00123727,0.0008349462,0.0004856335,0.0009520906],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.03460157,"about_ca_system_score_gemma":0.06967985,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9935475,"about_ca_topic_score_gemma":0.9967295,"domain_scores_codex":[0.9993799,0.00005832366,0.00001716229,0.00006313693,0.0002782477,0.0002032152],"domain_scores_gemma":[0.9985619,0.0001412884,0.00005958012,0.00003874712,0.0008393002,0.0003590664],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0003667035,0.0006377911,0.2735296,0.0007856138,0.00004005297,0.001267887,0.02601794,0.001435161,0.006079504,0.0230949,0.1378898,0.5288551],"study_design_scores_gemma":[0.00002561719,0.0002110557,0.6976904,0.000297712,0.00005444531,0.0003278011,0.04979005,0.003289983,0.001398131,0.0009247233,0.2458884,0.0001016505],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8168765,0.0035188,0.002004828,0.01006807,0.0001693902,0.0005009852,0.004366971,0.000257726,0.1622368],"genre_scores_gemma":[0.9427324,0.004023388,0.004212745,0.0004733292,0.00002485948,0.00009177804,0.001337265,0.00006272695,0.04704159],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03460157,"threshold_uncertainty_score":0.2510532,"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."}}