{"id":"W2982558675","doi":"10.1007/978-3-030-33223-5_43","title":"Factors Affecting Comprehension of Contribution Links in Goal Models: An Experiment","year":2019,"lang":"en","type":"book-chapter","venue":"Lecture notes in computer science","topic":"Product Development and Customization","field":"Business, Management and Accounting","cited_by":5,"is_retracted":false,"has_abstract":false,"ca_institutions":"York University","funders":"","keywords":"Computer science; Soundness; Representation (politics); Construct (python library); Comprehension; Meaning (existential); Semantics (computer science); Readability; Quality (philosophy); Artificial intelligence; Human–computer interaction; Psychology; 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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0005631447,0.0003039764,0.0004097804,0.0007838865,0.00009687447,0.0001681127,0.0004641225,0.0002897742,0.00002492616],"category_scores_gemma":[0.00005169048,0.0002667447,0.00005251023,0.0003642453,0.000127432,0.001215635,0.0003618141,0.0004216555,0.000009486615],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001763639,"about_ca_system_score_gemma":0.0001119929,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006892221,"about_ca_topic_score_gemma":0.00008974974,"domain_scores_codex":[0.9981281,0.000009388457,0.000408109,0.0006629084,0.0004895127,0.0003020282],"domain_scores_gemma":[0.9989722,0.00007590326,0.0003608691,0.0003330949,0.0002445996,0.00001335114],"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":[0.0001225143,0.0002298015,0.01374374,0.0004798119,0.00002681953,0.00001588702,0.002912067,0.7386267,0.00671585,0.0337294,0.00002440078,0.203373],"study_design_scores_gemma":[0.0007791914,0.0000508099,0.004874819,0.0008480075,0.00001527462,0.000001067603,0.000005782995,0.9547202,0.005069958,0.03261134,0.0003250622,0.0006984648],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2701373,0.0002763777,0.7242401,0.0001369033,0.002054978,0.0008876567,0.000001697369,0.00009508319,0.002169912],"genre_scores_gemma":[0.9964318,0.000005723882,0.002863289,0.0002483889,0.0003272704,0.000001736885,0.00006792534,0.00002210685,0.00003179217],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7262945,"threshold_uncertainty_score":0.9999785,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02803798937809541,"score_gpt":0.238226463516228,"score_spread":0.2101884741381326,"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."}}