{"id":"W2799759507","doi":"10.1007/s00766-018-0294-1","title":"A systematic literature mapping of goal and non-goal modelling methods for legal and regulatory compliance","year":2018,"lang":"en","type":"article","venue":"Requirements Engineering","topic":"Advanced Software Engineering Methodologies","field":"Computer Science","cited_by":42,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Ottawa","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Compliance (psychology); Domain (mathematical analysis); Computer science; Management science; Process management; Systematic review; Risk analysis (engineering); Focus (optics); Data science; Psychology; Political science; Engineering; MEDLINE; Business; Law; Social psychology","routes":{"ca_aff":true,"ca_fund":true,"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":[0.001062302,0.0002117184,0.0004280247,0.0001769848,0.00007388442,0.00008997744,0.0003071094,0.00007597986,1.523121e-7],"category_scores_gemma":[0.0003491298,0.0002069248,0.00004622659,0.0002578524,0.00004993962,0.0005846901,0.0002084979,0.0001089211,2.10282e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004229644,"about_ca_system_score_gemma":0.00001407707,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001087271,"about_ca_topic_score_gemma":6.543313e-8,"domain_scores_codex":[0.9987574,0.00004937275,0.0003869157,0.0003657957,0.0001372763,0.0003032247],"domain_scores_gemma":[0.9987801,0.0005129182,0.0001241412,0.0003932138,0.0001153071,0.00007436836],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00003361392,0.00004314743,0.00008203649,0.107362,0.0004431799,0.00001224027,0.007136402,0.5376492,0.2892987,0.04080129,0.00001726393,0.01712089],"study_design_scores_gemma":[0.0002772506,0.00007361064,0.0001216452,0.007247715,0.00001426501,0.00002419759,0.00001942028,0.9836584,0.00730034,0.0009904127,0.00004816199,0.0002245644],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.009230642,0.003461774,0.986272,0.00001075357,0.0004118593,0.0004138849,0.000002201226,0.0001868696,0.000009956213],"genre_scores_gemma":[0.1441667,0.00004579052,0.8556257,0.00001000679,0.00006669783,0.00004155162,7.39018e-7,0.00002087005,0.00002198202],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.4460092,"threshold_uncertainty_score":0.8438147,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06571911413597815,"score_gpt":0.341743406104879,"score_spread":0.2760242919689008,"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."}}