{"id":"W2616487348","doi":"10.1145/3088440","title":"Teaching Software Product Lines","year":2017,"lang":"en","type":"article","venue":"ACM Transactions on Computing Education","topic":"Advanced Software Engineering Methodologies","field":"Computer Science","cited_by":24,"is_retracted":false,"has_abstract":true,"ca_institutions":"École de Technologie Supérieure","funders":"","keywords":"Thriving; Product (mathematics); Computer science; Software; Best practice; Engineering ethics; Knowledge management; Engineering management; Sociology; Mathematics education; Engineering; Psychology; Political science","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":[0.004949719,0.0007039151,0.0004919277,0.001214994,0.001977993,0.00363493,0.001506057,0.001332129,0.01978605],"category_scores_gemma":[0.01897367,0.0003963129,0.0004670628,0.001257032,0.001692056,0.003608532,0.003647087,0.002679905,0.006175579],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002710802,"about_ca_system_score_gemma":0.00486726,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008360828,"about_ca_topic_score_gemma":0.002272194,"domain_scores_codex":[0.9956144,0.00180368,0.000236608,0.0006415702,0.001268199,0.0004355056],"domain_scores_gemma":[0.9837642,0.005764226,0.001229537,0.001438588,0.003128184,0.004675248],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00008817999,0.0031951,0.02936016,0.0008124122,0.00002179583,0.0006960729,0.03917088,0.001712213,0.00906588,0.03502295,0.06105951,0.8197949],"study_design_scores_gemma":[0.00009575052,0.002162253,0.01602702,0.001875112,0.00006038668,0.002075937,0.06248039,0.004657313,0.01750988,0.08866943,0.8043112,0.00007523361],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.5375745,0.007001823,0.1852742,0.06172759,0.00195398,0.0007443738,0.0003415117,0.002463451,0.2029186],"genre_scores_gemma":[0.7774922,0.007931466,0.1368892,0.008311091,0.0004850931,0.0003849998,0.0004190323,0.0003064788,0.06778044],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.01978605,"threshold_uncertainty_score":0.06619096,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05217032727527773,"score_gpt":0.3563756791029412,"score_spread":0.3042053518276635,"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."}}