{"id":"W2116146752","doi":"10.1109/icci.2004.28","title":"Release planning under fuzzy effort constraints","year":2004,"lang":"en","type":"article","venue":"IEEE International Conference on Cognitive Informatics","topic":"Software Engineering Research","field":"Computer Science","cited_by":21,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Fuzzy logic; Computer science; Stakeholder; Quality (philosophy); Fuzzy set; Product (mathematics); Operations research; Management science; Artificial intelligence; Engineering; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002385532,0.0001911864,0.0001437326,0.0003090551,0.00008726843,0.0003477698,0.0008897043,0.00008166666,0.00005781054],"category_scores_gemma":[0.0004853813,0.0001881837,0.00005934481,0.0002085732,0.0001549841,0.0008400178,0.0001331884,0.0004003533,0.0006770634],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001838339,"about_ca_system_score_gemma":0.000355367,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000008003369,"about_ca_topic_score_gemma":0.000001144734,"domain_scores_codex":[0.9982801,0.00001336903,0.0003861079,0.0001809647,0.0008186162,0.0003208189],"domain_scores_gemma":[0.9984039,0.0004210691,0.0001272552,0.0002196248,0.0006714892,0.0001566767],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001061237,0.0003126324,0.003205382,0.00007772178,0.0003539058,0.0002598992,0.006945941,0.05339804,0.0002873341,0.8899051,0.0007632492,0.04438467],"study_design_scores_gemma":[0.02197302,0.002690967,0.06757302,0.008330247,0.00008282094,0.001364114,0.01166361,0.5723073,0.05864554,0.2481854,0.001902413,0.005281603],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.184257,0.000005584796,0.7767949,0.0004423465,0.0009018854,0.0001879883,0.00002894318,0.0002529993,0.03712837],"genre_scores_gemma":[0.990467,0.00001303872,0.00835034,0.0009356557,0.00007811935,0.00002773328,0.0000225071,0.00001028761,0.00009528124],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.80621,"threshold_uncertainty_score":0.8702505,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07167254817495264,"score_gpt":0.3415309894101298,"score_spread":0.2698584412351772,"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."}}