{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001947044,0.0002993461,0.0003142049,0.0002465946,0.00009802842,0.0001580461,0.001919233,0.0002495071,0.00006317856],"category_scores_gemma":[0.00001517269,0.0003287698,0.0002755941,0.0003171526,0.00005040193,0.0002475457,0.001452019,0.0006048416,0.0009977368],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001569012,"about_ca_system_score_gemma":0.0001465006,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001050796,"about_ca_topic_score_gemma":0.00001678631,"domain_scores_codex":[0.9979743,0.00009069365,0.000255406,0.001236923,0.00009772532,0.0003449582],"domain_scores_gemma":[0.9972833,0.00009447584,0.0002996257,0.00208759,0.00009699372,0.000138013],"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":[0.00008924581,0.0005643592,0.01114747,0.0002553189,0.000390183,0.0004818265,0.002552571,0.09757303,0.0005253021,0.8582711,0.02346651,0.004683139],"study_design_scores_gemma":[0.0005371729,0.000142871,0.001695649,0.0002470337,0.00006072546,0.00000825314,0.0001070841,0.9616554,0.0002320087,0.02816645,0.00639807,0.0007493068],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1505602,0.0000189923,0.8232017,0.0002763664,0.0006063886,0.0005504147,0.00001403627,0.000274444,0.02449753],"genre_scores_gemma":[0.9952299,0.00002079714,0.0008385443,0.0006172562,0.00006931002,0.000006329415,0.00001294184,0.00001776491,0.003187173],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8640823,"threshold_uncertainty_score":0.9999164,"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."}}