{"id":"W4307475500","doi":"10.1145/3526113.3545691","title":"SemanticOn: Specifying Content-Based Semantic Conditions for Web Automation Programs","year":2022,"lang":"en","type":"article","venue":"","topic":"Data Stream Mining Techniques","field":"Computer Science","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Computer science; Automation; Semantic Web; Semantic Web Stack; Social Semantic Web; World Wide Web; Information retrieval; Key (lock); Data Web; Web page; Human–computer interaction","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":[0.004299088,0.001948624,0.0006455287,0.00193215,0.001017648,0.002809592,0.00152152,0.001355426,0.00892202],"category_scores_gemma":[0.01325348,0.001120679,0.001152621,0.0006125916,0.00274211,0.007677342,0.003337251,0.001244249,0.002068156],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001589485,"about_ca_system_score_gemma":0.002045924,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003143967,"about_ca_topic_score_gemma":0.005627191,"domain_scores_codex":[0.9973105,0.0008514741,0.0003967535,0.0005567037,0.0006598086,0.0002247049],"domain_scores_gemma":[0.9887927,0.007094199,0.0008994893,0.001679548,0.001103783,0.0004302166],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.004437431,0.001626711,0.02090136,0.002841584,0.0001645191,0.003311226,0.01852088,0.04798526,0.1458454,0.336034,0.07300071,0.3453309],"study_design_scores_gemma":[0.0004446291,0.0004809896,0.0028976,0.0006348935,0.0001594327,0.0008145488,0.001976098,0.4036363,0.2035066,0.1200478,0.2649878,0.0004132791],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.03116354,0.0001067265,0.8704402,0.0003876982,0.00007572422,0.000773686,0.002055145,0.08862622,0.006371024],"genre_scores_gemma":[0.3093536,0.0001977595,0.6674083,0.0005380734,0.00007551957,0.001268143,0.00415965,0.01169409,0.005304889],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.00892202,"threshold_uncertainty_score":0.02984709,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08054564439988558,"score_gpt":0.2956140721245458,"score_spread":0.2150684277246602,"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."}}