{"id":"W2773901690","doi":"10.1109/esem.2017.69","title":"Assessing the Intuitiveness of Qualitative Contribution Relationships in Goal Models: An Exploratory Experiment","year":2017,"lang":"en","type":"article","venue":"","topic":"Advanced Software Engineering Methodologies","field":"Computer Science","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"","keywords":"Construct (python library); Computer science; Meaning (existential); Diagrammatic reasoning; Set (abstract data type); Conceptual model; Process (computing); Representation (politics); Perception; Goal orientation; Human–computer interaction; Management science; Knowledge management; Psychology; Social psychology; 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":[0.003283217,0.00008027787,0.0001383033,0.00005303614,0.0002515228,0.0001365631,0.0006786425,0.00004391965,6.307331e-7],"category_scores_gemma":[0.002664051,0.00005926595,0.00002180871,0.00007884194,0.0001266154,0.003626642,0.0002129726,0.0001578154,7.343559e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007726171,"about_ca_system_score_gemma":0.00004980674,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002108222,"about_ca_topic_score_gemma":0.0000148369,"domain_scores_codex":[0.9982312,0.001092856,0.0002046791,0.0001915077,0.0001474453,0.0001322856],"domain_scores_gemma":[0.9970218,0.002020394,0.0001607972,0.0006533386,0.000118855,0.00002483477],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.000005966706,0.00004815886,0.0005313638,0.00000688044,0.000007758094,0.000002469241,0.05463643,0.1200687,0.002799082,0.8168554,0.000002138209,0.005035653],"study_design_scores_gemma":[0.0005412314,0.00008287275,0.03099187,0.0001120321,0.00000306726,0.000001677629,0.04073945,0.1681407,0.04487153,0.7142388,0.000008459522,0.00026838],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1654198,0.0000833138,0.8339491,0.0001357701,0.0001359292,0.00009780899,6.269368e-7,0.00007714533,0.0001004757],"genre_scores_gemma":[0.7315323,0.000002995498,0.2684097,0.000007358229,0.000008329055,0.00003110535,7.215689e-7,0.000003245868,0.000004169898],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.5661125,"threshold_uncertainty_score":0.318931,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3996984502573646,"score_gpt":0.4807320913996817,"score_spread":0.08103364114231709,"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."}}