{"id":"W2094392229","doi":"10.1023/a:1009809824225","title":"Beg, Borrow, or Steal: Using Multidisciplinary Approaches in Empirical Software Engineering Research","year":2001,"lang":"en","type":"article","venue":"Empirical Software Engineering","topic":"Software Engineering Techniques and Practices","field":"Computer Science","cited_by":41,"is_retracted":false,"has_abstract":false,"ca_institutions":"National Research Council Canada; University of Toronto; University of Victoria; University of New Brunswick","funders":"University of Victoria","keywords":"Computer science","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":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.03458697,0.001676491,0.001880866,0.01160866,0.003265122,0.01214438,0.002604883,0.007347099,0.006015114],"category_scores_gemma":[0.1632817,0.001263262,0.001017947,0.01232709,0.01754819,0.03639104,0.01576744,0.007456549,0.00152427],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001984293,"about_ca_system_score_gemma":0.004015895,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001074886,"about_ca_topic_score_gemma":0.003226578,"domain_scores_codex":[0.9657468,0.02652145,0.001053944,0.0009678382,0.005150806,0.0005590371],"domain_scores_gemma":[0.851537,0.1307981,0.003898066,0.007183637,0.003974676,0.002608522],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0001721449,0.0002973598,0.008253488,0.001343522,0.0003098997,0.0004960004,0.01902539,0.001554999,0.0006843145,0.6183016,0.02831299,0.3212483],"study_design_scores_gemma":[0.00008059506,0.00004584257,0.002581606,0.001130378,0.0001120089,0.000221924,0.007663533,0.003999398,0.0002988721,0.9639751,0.01981726,0.00007342779],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04430437,0.04216958,0.6752183,0.1855054,0.002946937,0.0006220995,0.0001914093,0.0008761517,0.04816569],"genre_scores_gemma":[0.3826283,0.03758333,0.5345833,0.02738534,0.002790275,0.003105521,0.0002066927,0.000553067,0.01116426],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.965413,"threshold_uncertainty_score":0.1829156,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.286019139000558,"score_gpt":0.4116135689242767,"score_spread":0.1255944299237187,"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."}}