{"id":"W4293223947","doi":"10.11159/mhci22.108","title":"Interactive Design of the Shopping Process Using User Experience in the Food Section of Supermarket","year":2022,"lang":"en","type":"article","venue":"Proceedings of the World Congress on Electrical Engineering and Computer Systems and Science","topic":"Augmented Reality Applications","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science; Process (computing); Section (typography); Human–computer interaction; Operating system","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007661537,0.00009299309,0.0001535454,0.0001865746,0.0002614378,0.00008898636,0.001263655,0.000014063,1.341064e-7],"category_scores_gemma":[0.00004240809,0.00005503284,0.00002778218,0.002263495,0.0001554429,0.0002663161,0.0003880041,0.0002283027,9.762061e-9],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005294773,"about_ca_system_score_gemma":0.0000516705,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001934614,"about_ca_topic_score_gemma":7.219103e-7,"domain_scores_codex":[0.998815,0.00003395426,0.0002563257,0.0002548621,0.0004702452,0.000169587],"domain_scores_gemma":[0.9993128,0.0001713061,0.0002023474,0.0001634051,0.0001243945,0.00002571042],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00006562223,0.0003678131,0.01291821,0.0004777201,0.0000577431,6.755003e-7,0.01553407,0.7338358,0.08087429,0.1520482,0.0001384346,0.00368146],"study_design_scores_gemma":[0.00009841239,0.00009233892,0.002791943,0.0001452526,0.000003961984,0.00003640346,0.0002242017,0.99097,0.00547386,0.00004512374,0.00005271956,0.00006583396],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9328949,0.0001022718,0.0657159,0.0002088242,0.0004934607,0.0005277116,0.00000172116,0.00001686643,0.00003831],"genre_scores_gemma":[0.9994925,0.000002667009,0.0003903273,0.00002651101,0.00001931163,0.00005758605,1.850486e-8,0.000003201871,0.000007866041],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2571342,"threshold_uncertainty_score":0.2348206,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02017259597013225,"score_gpt":0.2447998087666083,"score_spread":0.2246272127964761,"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."}}