{"id":"W2036091048","doi":"10.1108/09590550810873929","title":"RFID and buyer‐seller relationships in the retail supply chain","year":2008,"lang":"en","type":"article","venue":"International Journal of Retail & Distribution Management","topic":"RFID technology advancements","field":"Engineering","cited_by":83,"is_retracted":false,"has_abstract":true,"ca_institutions":"Polytechnique Montréal; Université de Sherbrooke","funders":"","keywords":"Supply chain; Originality; Generalizability theory; Business; Marketing; Supply chain management; Value (mathematics); Exploratory research; Radio-frequency identification; Identification (biology); Knowledge management; Computer science; Qualitative research","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":[0.0005060429,0.0001147811,0.0001228422,0.0002001108,0.000075312,0.00002937012,0.0004271058,0.00006090014,0.00006428884],"category_scores_gemma":[0.00006761355,0.00009604469,0.00005260803,0.0002017047,0.00007910097,0.0002733259,0.00005636206,0.0003884313,0.00001813178],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000216261,"about_ca_system_score_gemma":0.000008127664,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001917405,"about_ca_topic_score_gemma":0.000007507369,"domain_scores_codex":[0.9987719,0.00005996154,0.000446198,0.0001023977,0.0004700865,0.0001494241],"domain_scores_gemma":[0.9995075,0.00005853133,0.0001347393,0.0001414677,0.0001259481,0.0000317396],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00033907,0.0005411075,0.6613625,0.00011629,0.001886161,0.003439997,0.001894045,0.0385061,0.0006390428,0.1382736,0.06253384,0.09046829],"study_design_scores_gemma":[0.002466639,0.00008694336,0.7205067,0.0001611752,0.00006550588,0.000888598,0.00108227,0.004843502,0.0004103511,0.005389937,0.2637995,0.0002988865],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.943643,0.001268968,0.04617097,0.004529516,0.0009226213,0.0002802779,0.000047341,0.00007207317,0.00306518],"genre_scores_gemma":[0.9969772,0.001927711,0.0006416295,0.00006520619,0.00005884889,0.00001174097,0.00005115379,0.000008912656,0.0002576506],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2012656,"threshold_uncertainty_score":0.3916589,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02080545576629124,"score_gpt":0.2296286125980907,"score_spread":0.2088231568317994,"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."}}