{"id":"W4415051922","doi":"10.34925/eip.2025.181.8.164","title":"ВЛИЯНИЕ МОБИЛЬНОЙ ОПТИМИЗАЦИИ НА КОНВЕРСИЮ ИНТЕРНЕТ-МАГАЗИНОВ","year":2025,"lang":"ru","type":"article","venue":"Экономика и предпринимательство","topic":"Consumer Retail Behavior Studies","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Process (computing); Payment; Key (lock); Download; Mobile device; Volume (thermodynamics); E-commerce","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","sts","scholarly_communication","insufficient_payload"],"consensus_categories":["metaepi_narrow","insufficient_payload"],"category_scores_codex":[0.001623493,0.002160689,0.002347625,0.002207482,0.002005676,0.00229769,0.002522951,0.000946486,0.006657531],"category_scores_gemma":[0.0009716922,0.002297323,0.001267565,0.00468991,0.0009814574,0.002477073,0.00355148,0.001777579,0.01485627],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005498897,"about_ca_system_score_gemma":0.0005094162,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003884911,"about_ca_topic_score_gemma":0.003274465,"domain_scores_codex":[0.9901378,0.0001722205,0.002500839,0.002702879,0.001585072,0.002901263],"domain_scores_gemma":[0.9939522,0.0004792028,0.001226756,0.002883278,0.001288356,0.0001702411],"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":[0.0004055495,0.001401435,0.6166623,0.002886641,0.001662907,0.0004353284,0.0003222918,0.00001753738,0.001117638,0.04277874,0.1479784,0.1843312],"study_design_scores_gemma":[0.004428317,0.00006063851,0.1780652,0.001521696,0.002930773,0.00001540237,0.001308841,0.0006157652,0.0002691718,0.001714245,0.8066117,0.002458232],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4622939,0.03522484,0.0005890639,0.02052727,0.01846908,0.003994041,0.0001795407,0.002266344,0.4564559],"genre_scores_gemma":[0.8980739,0.001307786,0.0003746865,0.003718001,0.001796331,0.0003988139,0.0002066645,0.0003569828,0.09376687],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6586334,"threshold_uncertainty_score":0.9992936,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0178896072499671,"score_gpt":0.2598412672892844,"score_spread":0.2419516600393173,"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."}}