{"id":"W4306179708","doi":"10.1145/3495243.3560522","title":"A-mash","year":2022,"lang":"en","type":"article","venue":"Proceedings of the 28th Annual International Conference on Mobile Computing And Networking","topic":"Green IT and Sustainability","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"National Research Foundation of Korea","keywords":"Mashup; Computer science; World Wide Web; App store; Mobile apps; Key (lock); Mobile device; Variety (cybernetics); Process (computing); Human–computer interaction; Multimedia; Web page; Web navigation; Computer security; Artificial intelligence; Operating system","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":[0.0007391833,0.001391954,0.0005622454,0.0008952965,0.0006978991,0.001710016,0.001999685,0.001395441,0.09324817],"category_scores_gemma":[0.003644816,0.0007565702,0.0009089525,0.0004817606,0.000464518,0.00373285,0.003577655,0.001539705,0.05642008],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003762337,"about_ca_system_score_gemma":0.0007426161,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001082301,"about_ca_topic_score_gemma":0.00138866,"domain_scores_codex":[0.9990315,0.0001018276,0.00006509506,0.0001949438,0.0004804231,0.0001260999],"domain_scores_gemma":[0.9984978,0.0002696509,0.00009296554,0.0005491795,0.0004093793,0.000180985],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001634777,0.0003492998,0.001841021,0.001453964,0.000113816,0.0009477887,0.0009276508,0.001098073,0.03486637,0.0265307,0.4241399,0.5060966],"study_design_scores_gemma":[0.000183134,0.0003908486,0.001851553,0.0001161853,0.00006678216,0.0009292517,0.0001660629,0.01121261,0.02194822,0.0108812,0.9521298,0.0001243347],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"software","genre_gemma":"empirical","genre_scores_codex":[0.02152372,0.002895816,0.2310261,0.001203216,0.001991306,0.001896911,0.009572633,0.5088354,0.2210548],"genre_scores_gemma":[0.2045723,0.002572776,0.2879176,0.004286546,0.001154425,0.002474379,0.03161214,0.05996049,0.4054492],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.09324817,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01230104918301753,"score_gpt":0.2375908534900951,"score_spread":0.2252898043070775,"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."}}