{"id":"W2080483673","doi":"10.1145/568235.568239","title":"XP requirement negotiation workshop","year":2002,"lang":"en","type":"article","venue":"ACM SIGAPP Applied Computing Review","topic":"Software Engineering Techniques and Practices","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Nortel (Canada)","funders":"","keywords":"Negotiation; Computer science; Political science; Law","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":[0.0008066834,0.000218646,0.0003185555,0.00006184518,0.0001396592,0.0001544006,0.001674695,0.0000648327,0.00007964063],"category_scores_gemma":[0.0004223985,0.0002065249,0.00008841624,0.0006877182,0.0000159502,0.0002509594,0.0006852073,0.0002514527,0.0002673011],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005511787,"about_ca_system_score_gemma":0.00001024685,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002482439,"about_ca_topic_score_gemma":1.450699e-7,"domain_scores_codex":[0.9983563,0.00005158257,0.0004429432,0.0004759772,0.0003384556,0.0003347368],"domain_scores_gemma":[0.9975127,0.000636934,0.000259181,0.001449552,0.00005046804,0.00009118811],"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":[4.554469e-7,0.00003898703,0.00001924338,0.0004427595,0.00001792746,0.000004983559,0.000121266,0.0002797333,0.00004107877,0.01995447,0.03755128,0.9415278],"study_design_scores_gemma":[0.0004123094,0.0000981902,0.0002790923,0.004218649,0.00009585382,0.00007339934,0.000008688518,0.09637737,0.000518225,0.007729588,0.888975,0.001213676],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0001466231,0.05144252,0.9378218,0.003664106,0.000280485,0.0005769073,2.244006e-7,0.001683453,0.004383892],"genre_scores_gemma":[0.3160952,0.0315937,0.6451029,0.006556524,0.0003522834,0.00008904412,0.000006584802,0.00004572691,0.0001580464],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.9403141,"threshold_uncertainty_score":0.8421841,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05499880829274501,"score_gpt":0.2918950230222762,"score_spread":0.2368962147295312,"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."}}