{"id":"W2169037632","doi":"10.1109/itng.2009.161","title":"Citation Analysis: An Approach for Facilitating the Understanding and the Analysis of Regulatory Compliance Documents","year":2009,"lang":"en","type":"article","venue":"","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"","keywords":"Computer science; Citation; Task (project management); Citation analysis; Data science; Compliance (psychology); Information retrieval; Knowledge management; World Wide Web; Engineering","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":["bibliometrics"],"consensus_categories":[],"category_scores_codex":[0.005455411,0.001494472,0.001130131,0.04109317,0.003350005,0.006461897,0.002278924,0.002417017,0.005733084],"category_scores_gemma":[0.0282467,0.0007555931,0.001547099,0.0284567,0.001547373,0.01017938,0.003357081,0.002216296,0.001969806],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001594285,"about_ca_system_score_gemma":0.003667988,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005730969,"about_ca_topic_score_gemma":0.007894819,"domain_scores_codex":[0.9954653,0.001321797,0.0005371448,0.0005303037,0.001981981,0.0001635382],"domain_scores_gemma":[0.9702641,0.01974609,0.002984094,0.002468477,0.004010486,0.0005268051],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000130535,0.0002112291,0.005996783,0.002129185,0.0003181776,0.0009827401,0.008095121,0.004490964,0.01657621,0.1038639,0.0253293,0.8318758],"study_design_scores_gemma":[0.0001243284,0.000176688,0.01413665,0.001498371,0.0006659841,0.004409872,0.007296756,0.1376974,0.04128784,0.3330854,0.4589668,0.0006539953],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01443358,0.002182053,0.9576182,0.001986282,0.0001788687,0.0004349074,0.002029227,0.01214868,0.008988121],"genre_scores_gemma":[0.05132492,0.00181039,0.9400455,0.0001359676,0.0001544137,0.0003148741,0.001775578,0.0007114404,0.003726855],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.9589068,"threshold_uncertainty_score":0.02885127,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1121870605620172,"score_gpt":0.3217846258093197,"score_spread":0.2095975652473025,"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."}}