{"id":"W2948245646","doi":"10.48550/arxiv.1906.03304","title":"MoMIT: Porting a JavaScript Interpreter on a Quarter Coin","year":2019,"lang":"en","type":"preprint","venue":"arXiv (Cornell University)","topic":"Mobile and Web Applications","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"","keywords":"Computer science; Porting; JavaScript; HTML5; Testbed; Web application; Embedded system; Operating system; Overhead (engineering); Software; World Wide Web","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":[0.001238544,0.001191972,0.0004452424,0.0004765592,0.000274837,0.0008422566,0.001555092,0.0007103356,0.005635113],"category_scores_gemma":[0.004634339,0.0006335564,0.0008886255,0.0002937028,0.0006470701,0.001435202,0.001157425,0.001372418,0.002241824],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004225792,"about_ca_system_score_gemma":0.0009398342,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001375145,"about_ca_topic_score_gemma":0.001364318,"domain_scores_codex":[0.9992066,0.0001451628,0.0001036963,0.0001643063,0.0002781488,0.0001020809],"domain_scores_gemma":[0.9988311,0.0005420056,0.0001206885,0.0002291109,0.0001977189,0.00007922771],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.002174442,0.0007682376,0.008826492,0.001489478,0.0003504368,0.00152782,0.001028914,0.1003982,0.338862,0.01668691,0.04978775,0.4780993],"study_design_scores_gemma":[0.0004135865,0.0006522167,0.002886405,0.0001576082,0.0001371723,0.0004623844,0.000178687,0.6720841,0.2249413,0.005426697,0.09250152,0.0001582895],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.08364939,0.0003909041,0.7429383,0.0004259901,0.0003452346,0.0006100182,0.0008549841,0.1566943,0.01409091],"genre_scores_gemma":[0.3445589,0.0003664469,0.617639,0.0007411003,0.00005990107,0.0007464275,0.003044731,0.02043709,0.01240646],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005635113,"threshold_uncertainty_score":0.01885134,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04800287740315936,"score_gpt":0.1864918683576722,"score_spread":0.1384889909545128,"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."}}