{"id":"W4404704609","doi":"10.23977/acss.2024.080703","title":"Blockchain Technology Marketing Sustainable and Accurate Push System Based on Big Data and Internet of Things","year":2024,"lang":"en","type":"article","venue":"Advances in Computer Signals and Systems","topic":"E-commerce and Technology Innovations","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Blockchain; Internet of Things; Big data; The Internet; Business; Marketing; Data science; Computer science; World Wide Web; Commerce; Computer security; Data mining","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":[0.001132346,0.0001527134,0.0002874587,0.0007714775,0.00007775192,0.0002701381,0.000265168,0.0001075706,0.000001168587],"category_scores_gemma":[0.00005191676,0.0001291273,0.00001104429,0.0006941566,0.0001409195,0.0005773653,0.0005139072,0.0001792244,0.000001372527],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001315344,"about_ca_system_score_gemma":0.00001038121,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001916963,"about_ca_topic_score_gemma":0.00001519658,"domain_scores_codex":[0.9988757,0.00002567602,0.0003796704,0.0004126437,0.00009672713,0.0002095661],"domain_scores_gemma":[0.9992135,0.0002541696,0.0001541208,0.0002896892,0.00008155098,0.000006962704],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00008795087,0.00009972072,0.05842447,0.02197154,0.0001247738,0.0003574402,0.000230372,0.001549911,0.0002285245,0.5079128,0.001846384,0.4071662],"study_design_scores_gemma":[0.0002804455,0.00003269015,0.0001640672,0.002336395,0.00001900265,0.00001968291,0.001328557,0.9735467,0.00001535381,0.00110223,0.02099488,0.0001599913],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7309482,0.0396376,0.2169022,0.004393598,0.001936075,0.001246846,0.0000189307,0.0007724739,0.004144122],"genre_scores_gemma":[0.9990081,0.00007570653,0.0004275457,0.0002020417,0.0001905657,0.00002173094,0.00001124604,0.00001445603,0.00004861707],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9719968,"threshold_uncertainty_score":0.5265659,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02129384995303199,"score_gpt":0.2512884336442417,"score_spread":0.2299945836912098,"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."}}