{"id":"W1975385971","doi":"10.1109/modre.2014.6890823","title":"Combined propagation-based reasoning with goal and feature models","year":2014,"lang":"en","type":"article","venue":"","topic":"Advanced Software Engineering Methodologies","field":"Computer Science","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Feature (linguistics); Computer science; Usability; Feature model; Stakeholder; Goal modeling; Software engineering; Notation; Automated reasoning; Reasoning system; Artificial intelligence; Software; Data mining; Human–computer interaction; Requirements engineering; Programming language","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":[0.0002195651,0.00009098634,0.0001007344,0.00003760539,0.00006148706,0.00006173779,0.0002081032,0.00003534651,5.862063e-7],"category_scores_gemma":[0.0001875772,0.00006460035,0.000009412279,0.0001334137,0.00003109572,0.0003108635,0.00005422541,0.00009007673,9.604694e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001188895,"about_ca_system_score_gemma":0.00001793115,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002760345,"about_ca_topic_score_gemma":0.000001137275,"domain_scores_codex":[0.9994365,0.00004893626,0.00005183435,0.0002180058,0.0001115172,0.0001331793],"domain_scores_gemma":[0.9992626,0.0003470424,0.00002777095,0.0002725535,0.00004540805,0.00004465326],"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":[0.00001459608,0.00001021057,0.00031778,0.00002148903,0.000006230583,0.000002665555,0.0001586951,0.6799999,0.0003094123,0.303314,0.00009785574,0.01574709],"study_design_scores_gemma":[0.0003172613,0.0001245079,0.001000963,0.00002383312,0.000001950414,0.000004537692,0.000005328012,0.9823726,0.001065359,0.01486251,0.00008875653,0.000132432],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.003721107,0.00001522129,0.9944224,0.000536295,0.00004611912,0.00008096136,1.385274e-7,0.0006582982,0.0005194342],"genre_scores_gemma":[0.3114296,4.628068e-7,0.6883155,0.0001256814,0.000008155045,0.000005943498,5.189358e-7,0.000005610899,0.0001086425],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.3077084,"threshold_uncertainty_score":0.2634326,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01386492194780258,"score_gpt":0.2299670158834921,"score_spread":0.2161020939356895,"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."}}