{"id":"W2989817440","doi":"10.1109/models-c.2019.00077","title":"Towards Reasoning About Product Lines with Design Choices","year":2019,"lang":"en","type":"article","venue":"","topic":"Advanced Software Engineering Methodologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","funders":"","keywords":"Computer science; Product design; Product (mathematics); Software product line; Domain (mathematical analysis); Software; Face (sociological concept); Software design; Human–computer interaction; Software engineering; Software development; Programming language; Mathematics","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":[],"consensus_categories":[],"category_scores_codex":[0.01569275,0.002520373,0.001135296,0.003328791,0.001694645,0.00825341,0.004700402,0.004166206,0.004220238],"category_scores_gemma":[0.04280953,0.00263848,0.005232479,0.002477845,0.007149667,0.01465909,0.006452488,0.006050099,0.001098176],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003012154,"about_ca_system_score_gemma":0.002773307,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0069281,"about_ca_topic_score_gemma":0.007256155,"domain_scores_codex":[0.983688,0.008429558,0.001424663,0.002077471,0.003686378,0.0006939512],"domain_scores_gemma":[0.9709314,0.02049817,0.002019669,0.003507557,0.002580002,0.000463274],"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":[0.0001491782,0.0001170395,0.001990272,0.0006208086,0.0001531043,0.001243098,0.004894762,0.08988012,0.003752713,0.8465101,0.002931957,0.0477568],"study_design_scores_gemma":[0.00009102705,0.00006804231,0.0001908845,0.0002737392,0.0001105909,0.0003425138,0.0009570253,0.2405832,0.005362988,0.7137306,0.03822127,0.00006814973],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.00755739,0.0002154441,0.9876668,0.0009953514,0.00003998847,0.0001378756,0.0001861898,0.0005258801,0.002675066],"genre_scores_gemma":[0.09773792,0.0005018286,0.8974336,0.0005115556,0.00009154375,0.0002936922,0.0006807584,0.0003265965,0.002422636],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01569275,"threshold_uncertainty_score":0.08299214,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03881121423071539,"score_gpt":0.2861994601778753,"score_spread":0.24738824594716,"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."}}