{"id":"W4307165195","doi":"10.3917/maorg.045.0049","title":"Design et développement d’un prototype de magasin connecté pour les petites entreprises","year":2022,"lang":"fr","type":"article","venue":"Marché et organisations","topic":"Consumer Retail Behavior Studies","field":"Business, Management and Accounting","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Montréal","funders":"","keywords":"Political science; Humanities; Art","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":[],"consensus_categories":[],"category_scores_codex":[0.001547592,0.0008676808,0.0005243134,0.0006242519,0.0005807545,0.001814079,0.001794262,0.00142091,0.01382482],"category_scores_gemma":[0.004044991,0.0004993599,0.0006225731,0.0003298202,0.0006643517,0.002004859,0.0009186766,0.001182795,0.004872601],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007624348,"about_ca_system_score_gemma":0.001493155,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002315087,"about_ca_topic_score_gemma":0.002993683,"domain_scores_codex":[0.9986984,0.0002358589,0.0000789359,0.0002663241,0.0005785837,0.0001419404],"domain_scores_gemma":[0.9983665,0.0003152771,0.000104028,0.0002540161,0.0007460185,0.0002142058],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.001613174,0.0009664404,0.007866603,0.00333478,0.0001944568,0.003199039,0.006977448,0.02584885,0.4654895,0.02619247,0.02903201,0.4292853],"study_design_scores_gemma":[0.0004683772,0.003660513,0.008935428,0.0006322818,0.0003949684,0.00349883,0.002134426,0.09909466,0.2515142,0.005502255,0.6239256,0.0002384338],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1729796,0.001433039,0.7413763,0.001611381,0.00110894,0.002434548,0.0007791616,0.01170434,0.06657262],"genre_scores_gemma":[0.3746534,0.0009940872,0.5424893,0.0008070022,0.00008195273,0.001700212,0.001306245,0.001482546,0.07648516],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01382482,"threshold_uncertainty_score":0.04624861,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06317361153316976,"score_gpt":0.2837989454239576,"score_spread":0.2206253338907878,"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."}}