{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002316101,0.001785487,0.0006815597,0.002912655,0.0005095304,0.001996077,0.003287281,0.001387186,0.002647461],"category_scores_gemma":[0.02366378,0.0007750866,0.00138175,0.00078458,0.001622028,0.002885493,0.002085027,0.001095581,0.0008516825],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001047657,"about_ca_system_score_gemma":0.001440225,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005858,"about_ca_topic_score_gemma":0.00658143,"domain_scores_codex":[0.9940125,0.001548296,0.0003953062,0.001152265,0.002448925,0.0004426235],"domain_scores_gemma":[0.9765645,0.01432857,0.002431524,0.003816411,0.00253945,0.0003194327],"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":[0.001564622,0.0009299789,0.05227397,0.00183234,0.0004383443,0.002223932,0.00138517,0.1904911,0.1288165,0.01711763,0.01150741,0.5914191],"study_design_scores_gemma":[0.00007145556,0.0002112314,0.005164252,0.0001438179,0.00009699725,0.0004446293,0.000178887,0.8831483,0.09190304,0.01368271,0.00487914,0.00007561159],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1559239,0.0004138761,0.7416275,0.0003858376,0.00007917367,0.0005037932,0.001075822,0.09478199,0.005208035],"genre_scores_gemma":[0.6919609,0.00019902,0.3016849,0.0002824669,0.00003553007,0.0002298764,0.001671699,0.00204097,0.001894575],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005858,"threshold_uncertainty_score":0.01224887,"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."}}