{"id":"W28510325","doi":"10.1002/anie.201702497","title":"Understanding Decision-Oriented Variability Modelling.","year":2008,"lang":"en","type":"article","venue":"Software Product Lines","topic":"Advanced Software Engineering Methodologies","field":"Computer Science","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada; Association Nationale de la Recherche et de la Technologie; Agence Nationale de la Recherche; Deutsche Forschungsgemeinschaft","keywords":"Computer science; Semantics (computer science); Domain (mathematical analysis); Data science; Software engineering; Decision support system; Management science; Data mining; Engineering; Programming language","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001078295,0.0002806374,0.0003300163,0.0001711464,0.0003513219,0.00004067502,0.0008764637,0.00008452948,0.000005964526],"category_scores_gemma":[0.009213509,0.0002535665,0.00009918513,0.0009132441,0.0001502672,0.0007323156,0.000410978,0.0002803694,0.00002234245],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001790386,"about_ca_system_score_gemma":0.0001342415,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000006307149,"about_ca_topic_score_gemma":6.280148e-7,"domain_scores_codex":[0.997624,0.0001444906,0.0004020503,0.0009334703,0.0004317279,0.0004642707],"domain_scores_gemma":[0.9958453,0.00225198,0.0001061936,0.001403791,0.0002720185,0.0001207193],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00002822004,0.0001007064,0.005269024,0.00005387572,0.0000305943,0.00004800694,0.0009877512,0.9632813,0.00009582111,0.01674843,0.0008811982,0.01247505],"study_design_scores_gemma":[0.0007743619,0.0001499268,0.001602957,0.0001281578,0.00001994266,0.0003056363,0.00004159272,0.1112988,0.005149865,0.8723997,0.006715447,0.001413601],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.00528474,0.0003807362,0.9892959,0.0002693718,0.001941699,0.0002384506,0.000003720798,0.002558008,0.00002737543],"genre_scores_gemma":[0.1236307,0.00008899166,0.8758244,0.00005578685,0.0002418627,0.00002036912,0.000003376626,0.00002554868,0.0001089385],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.8556513,"threshold_uncertainty_score":0.9999917,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.167261411466027,"score_gpt":0.2955156628043977,"score_spread":0.1282542513383706,"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."}}