{"id":"W2913657031","doi":"10.33633/jais.v3i1.1809","title":"An Automated Testing Framework for Cross-Browser Visual Incompatibility Detection","year":2018,"lang":"en","type":"article","venue":"Journal of Applied Intelligent System","topic":"Web Data Mining and Analysis","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Computer science; Automation; Web browser; Identification (biology); Web application; World Wide Web; Similarity (geometry); Software engineering; Human–computer interaction; Data science; The Internet; Artificial intelligence; Engineering; Image (mathematics)","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":[0.003240169,0.001267418,0.001192082,0.004345554,0.000810534,0.002093258,0.002794402,0.001534952,0.00197055],"category_scores_gemma":[0.007843474,0.0005509573,0.001923728,0.001229979,0.001295061,0.002219153,0.002194482,0.001370635,0.0007215036],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009735168,"about_ca_system_score_gemma":0.00279967,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008344391,"about_ca_topic_score_gemma":0.007819816,"domain_scores_codex":[0.9960157,0.0008576456,0.0003945059,0.000720818,0.001670446,0.0003407382],"domain_scores_gemma":[0.996268,0.001346925,0.0005233142,0.0005704188,0.001096526,0.0001948236],"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":[0.0003651641,0.001091512,0.02109765,0.0005765876,0.0003282905,0.002809382,0.00108418,0.1044261,0.04888901,0.07176512,0.01312479,0.7344422],"study_design_scores_gemma":[0.00004579157,0.0001876275,0.002782293,0.00008395302,0.00009874231,0.001186141,0.0001296592,0.9407765,0.01826048,0.02665492,0.009718894,0.00007496247],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.006344897,0.00010393,0.9852836,0.0001002321,0.00001629431,0.0002488101,0.0001438583,0.007034737,0.0007235248],"genre_scores_gemma":[0.1419654,0.00008262113,0.8557624,0.00009190063,0.00002676594,0.0002670359,0.0006936947,0.0002234377,0.0008868016],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.008344391,"threshold_uncertainty_score":0.01713586,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03474346062645033,"score_gpt":0.3625228491711121,"score_spread":0.3277793885446618,"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."}}