{"id":"W2373401668","doi":"10.1145/2884781.2884864","title":"Understanding asynchronous interactions in full-stack JavaScript","year":2016,"lang":"en","type":"article","venue":"","topic":"Software Engineering Research","field":"Computer Science","cited_by":48,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada; Intel Corporation","keywords":"Callback; JavaScript; Computer science; Asynchronous communication; Unobtrusive JavaScript; Program comprehension; Programming language; Call stack; Server-side; Web application; Context (archaeology); Operating system; Stack (abstract data type); Software engineering; Rich Internet application; Software","routes":{"ca_aff":true,"ca_fund":true,"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":[0.001490333,0.0008222014,0.0004260901,0.0006208784,0.0004580458,0.001809267,0.001202856,0.001021449,0.001562885],"category_scores_gemma":[0.01213445,0.000739048,0.0005414824,0.0003341282,0.000989222,0.004423266,0.001388822,0.001182665,0.0003687764],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006064475,"about_ca_system_score_gemma":0.0009331937,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004263661,"about_ca_topic_score_gemma":0.004812538,"domain_scores_codex":[0.9987418,0.000494035,0.00007336507,0.0002821992,0.0003451695,0.00006349108],"domain_scores_gemma":[0.9899928,0.00745841,0.0009055105,0.0007568616,0.0007024697,0.0001839421],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001017248,0.0009750649,0.02641325,0.001276914,0.0001174477,0.002007795,0.03231403,0.1590216,0.3668267,0.04859817,0.005487137,0.3559447],"study_design_scores_gemma":[0.00007294594,0.0002231481,0.008442583,0.0001006991,0.00005397786,0.0004734108,0.001057241,0.9003242,0.04612684,0.03206114,0.01098814,0.00007565309],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1999232,0.0001119845,0.7921764,0.0002137822,0.00001957377,0.0001023714,0.0001433075,0.00545006,0.001859294],"genre_scores_gemma":[0.6321539,0.0002058351,0.3644466,0.0001026844,0.00001630533,0.0001151592,0.0003376809,0.001027884,0.001593861],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004263661,"threshold_uncertainty_score":0.008477688,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1042894808353669,"score_gpt":0.3030260481657345,"score_spread":0.1987365673303676,"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."}}