{"id":"W2807062241","doi":"10.1109/icst.2018.00028","title":"Web Canvas Testing Through Visual Inference","year":2018,"lang":"en","type":"article","venue":"","topic":"Video Analysis and Summarization","field":"Computer Science","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Computer science; Visualization; Web application; Inference; Graphics; Object (grammar); Computer graphics (images); Information retrieval; Artificial intelligence; 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":[],"consensus_categories":[],"category_scores_codex":[0.0001325572,0.00006482974,0.0000808137,0.00003777732,0.0001423944,0.0001710926,0.0003420178,0.00002736555,0.00009167732],"category_scores_gemma":[0.0002024136,0.00005129964,0.00002392507,0.0006674824,0.00003526406,0.0005398619,0.0001642498,0.00003855037,0.0002145372],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000141721,"about_ca_system_score_gemma":0.00009541665,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003527753,"about_ca_topic_score_gemma":0.0003733539,"domain_scores_codex":[0.9992946,0.00002669327,0.0001402295,0.0002220677,0.0001638705,0.0001525593],"domain_scores_gemma":[0.9994062,0.00008244273,0.0000436096,0.0002361678,0.0001954361,0.00003613957],"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":[0.000002749374,0.0001525981,0.1267126,0.00001198158,0.00005891846,0.00001256927,0.001948825,0.0002227778,0.01859878,0.580886,0.007726151,0.2636661],"study_design_scores_gemma":[0.0001035187,0.0001109176,0.004152627,0.000009900707,0.000005345397,0.000002187823,0.00001934533,0.9825069,0.004521809,0.00418545,0.004237269,0.0001447752],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02500521,0.000007765449,0.9098237,0.0003712714,0.0001213787,0.0000281595,1.567513e-7,0.0001463339,0.064496],"genre_scores_gemma":[0.9257851,0.000002074358,0.07270545,0.0006970231,0.0001168324,0.000001710587,8.835482e-7,0.000002554071,0.0006883426],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9822841,"threshold_uncertainty_score":0.2757513,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04427851998219271,"score_gpt":0.3103740959698748,"score_spread":0.2660955759876821,"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."}}