{"id":"W2105709232","doi":"10.1145/2372251.2372271","title":"A hybrid release planning method and its empirical justification","year":2012,"lang":"en","type":"article","venue":"","topic":"Software Reliability and Analysis Research","field":"Computer Science","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Constraint (computer-aided design); Mathematical optimization; Constraint programming; Mathematics; Stochastic programming","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0009557536,0.00005950166,0.0000926125,0.00008333015,0.0001003269,0.00008567705,0.0002391551,0.00002702205,0.00002839869],"category_scores_gemma":[0.0004293548,0.00004700769,0.00003270594,0.0002414729,0.00001449917,0.0004724579,0.0001623929,0.0001077637,0.00008181861],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001869966,"about_ca_system_score_gemma":0.00002618367,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000008455995,"about_ca_topic_score_gemma":1.17521e-7,"domain_scores_codex":[0.9990368,0.0001514267,0.0001215196,0.0002248608,0.0002263544,0.0002390038],"domain_scores_gemma":[0.9990572,0.0004055931,0.00002251115,0.0002594184,0.00006217387,0.0001930742],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00002927466,0.0006796494,0.1270393,0.0001799914,0.0001118073,0.0000258222,0.00466315,0.0008398163,0.00475259,0.0960841,0.01402775,0.7515668],"study_design_scores_gemma":[0.0002017433,0.00004114474,0.03699316,0.00001411697,0.00001901726,0.00006160657,0.00005592625,0.9301308,0.01437574,0.003594199,0.01426699,0.000245508],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.08088164,0.000532094,0.9161876,0.001601913,0.00003503105,0.00005243728,3.636833e-7,0.0001069017,0.0006019715],"genre_scores_gemma":[0.9264458,0.00001455298,0.07288739,0.0002336273,0.00005193123,0.000007764665,0.000001283922,0.000002643096,0.0003549792],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.929291,"threshold_uncertainty_score":0.1916918,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09567323129377242,"score_gpt":0.4115239101518993,"score_spread":0.3158506788581268,"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."}}