{"id":"W2898655989","doi":"10.1145/3236024.3264592","title":"Vista: web test repair using computer vision","year":2018,"lang":"en","type":"article","venue":"","topic":"Web Data Mining and Analysis","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Computer science; Test (biology); World Wide Web; Human–computer interaction; Geology","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":[],"consensus_categories":[],"category_scores_codex":[0.000247192,0.00009114006,0.0001149343,0.0001018663,0.0001753283,0.0002210745,0.0005295528,0.00003338536,0.00006762293],"category_scores_gemma":[0.00002606135,0.00007217121,0.00007622648,0.000466773,0.00006030089,0.0004678794,0.0004296379,0.00005087484,0.0003517562],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000201309,"about_ca_system_score_gemma":0.00004381906,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005996705,"about_ca_topic_score_gemma":0.00001873076,"domain_scores_codex":[0.999056,0.00002836028,0.0001604978,0.0003800049,0.0001807017,0.0001943967],"domain_scores_gemma":[0.9990195,0.00007306067,0.00004526852,0.0006967586,0.00009195061,0.00007345656],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00001554241,0.00101335,0.0338345,0.00005505158,0.0002643829,0.0002512725,0.001435242,0.0003416864,0.06015265,0.04072809,0.6132039,0.2487043],"study_design_scores_gemma":[0.00008745219,0.0001540348,0.00087303,0.00001691341,0.000007503455,0.00001628101,0.000005843984,0.9752731,0.0005480673,0.00006011887,0.02284002,0.0001176217],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.05626873,0.00001090162,0.9377297,0.0003444615,0.0002611036,0.00002715743,0.000002647608,0.0005518647,0.004803415],"genre_scores_gemma":[0.5579916,0.000001173046,0.4404552,0.0005282459,0.0003243867,3.35034e-7,0.000002131072,0.000004590513,0.0006923355],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9749314,"threshold_uncertainty_score":0.4521232,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0191260796483109,"score_gpt":0.2794728682986082,"score_spread":0.2603467886502973,"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."}}