{"id":"W1990871263","doi":"10.1145/568760.568789","title":"Quantitative WinWin","year":2002,"lang":"en","type":"article","venue":"","topic":"Software Engineering Techniques and Practices","field":"Computer Science","cited_by":84,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Novelty; Negotiation; Quantitative analysis (chemistry); Requirement prioritization; Process (computing); Requirements analysis; Analytic hierarchy process; Decision support system; Hierarchy; Software; Software engineering; Management science; Process management; Knowledge management; Requirements management; Operations research; Data mining; Engineering","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0142048,0.001843608,0.001129951,0.003826672,0.00153165,0.006608217,0.003646418,0.0015965,0.0333709],"category_scores_gemma":[0.03480353,0.0009534577,0.001420295,0.003492532,0.00208723,0.008138569,0.00577467,0.002574901,0.007170528],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002572257,"about_ca_system_score_gemma":0.003765934,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001534211,"about_ca_topic_score_gemma":0.001722837,"domain_scores_codex":[0.9833197,0.006856165,0.001304736,0.001854624,0.005908327,0.0007564926],"domain_scores_gemma":[0.9826785,0.007776146,0.001093456,0.003942161,0.004035777,0.0004740687],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003517434,0.0001117418,0.001008722,0.00104335,0.0001267032,0.0001893073,0.001770135,0.01003479,0.005036228,0.5453244,0.01883316,0.4161697],"study_design_scores_gemma":[0.0001569583,0.0003360067,0.0007525655,0.0005203274,0.0001044748,0.0006858993,0.001206816,0.07799079,0.008324075,0.5264466,0.3833256,0.0001499928],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.004771233,0.000516669,0.9421536,0.001006201,0.0003071497,0.0006871431,0.0003887434,0.001850349,0.0483189],"genre_scores_gemma":[0.1003637,0.0005537471,0.8713,0.0006224088,0.00009747064,0.001398358,0.0009381793,0.0009651849,0.02376089],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.0333709,"threshold_uncertainty_score":0.1116368,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04950803052421706,"score_gpt":0.2682637739304949,"score_spread":0.2187557434062778,"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."}}