{"id":"W4234453556","doi":"10.1109/icse.2004.1317524","title":"The sixth international workshop on economics-driven software engineering research (EDSER-6)","year":2004,"lang":"en","type":"article","venue":"Proceedings. 26th International Conference on Software Engineering","topic":"Open Source Software Innovations","field":"Computer Science","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"National Research Council Canada","funders":"","keywords":"Context (archaeology); Software; Capital (architecture); Investment (military); Value (mathematics); Computer science; Social software engineering; Value engineering; Engineering management; Software engineering; Software development; Management science; Engineering; Economics; Software construction; Management; Political science","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01240359,0.001719554,0.001969965,0.00340059,0.0008298086,0.007975894,0.003203213,0.003566576,0.05747798],"category_scores_gemma":[0.01222946,0.0009218556,0.002263948,0.002741067,0.001783728,0.008929933,0.00585415,0.00465085,0.02175511],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001794743,"about_ca_system_score_gemma":0.002716174,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001409032,"about_ca_topic_score_gemma":0.001675067,"domain_scores_codex":[0.9938055,0.002341529,0.00041955,0.001070777,0.001851572,0.00051109],"domain_scores_gemma":[0.9902419,0.003485314,0.0003179638,0.002430833,0.002211502,0.001312435],"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":[0.0003247679,0.0005854315,0.001192972,0.0007971888,0.0001657453,0.0002522461,0.0004697968,0.003859539,0.00284615,0.1116541,0.2128994,0.6649526],"study_design_scores_gemma":[0.00006800295,0.0002061047,0.001499068,0.0008776931,0.00006227067,0.0005386352,0.0003018679,0.008169075,0.002231236,0.08383021,0.9021653,0.00005049599],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"other","genre_scores_codex":[0.01235599,0.1166951,0.6010947,0.03923586,0.04517134,0.0006096016,0.001391981,0.004098675,0.1793468],"genre_scores_gemma":[0.08228669,0.08212301,0.4102695,0.006754395,0.01773934,0.0007942551,0.007447058,0.003472951,0.3891128],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.05747798,"threshold_uncertainty_score":0.192283,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0610514676542849,"score_gpt":0.3105195596180652,"score_spread":0.2494680919637803,"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."}}