{"id":"W4412086245","doi":"10.1016/j.infsof.2025.107830","title":"Research artifacts in secondary studies: A systematic mapping in software engineering","year":2025,"lang":"en","type":"article","venue":"Information and Software Technology","topic":"Scientific Computing and Data Management","field":"Decision Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University","funders":"Strategic Research Council; Killam Trusts; Dalhousie University; Academy of Finland","keywords":"Computer science; Software engineering; Systems engineering; 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":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.007975301,0.00009508594,0.0003220853,0.006078205,0.0001075337,0.0002573371,0.0005647104,0.0001132818,0.00001209959],"category_scores_gemma":[0.03243846,0.0000786017,0.00002066625,0.004764537,0.0001084754,0.0006797645,0.0007836244,0.0003626559,0.0001101676],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001297287,"about_ca_system_score_gemma":0.0000765083,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001943605,"about_ca_topic_score_gemma":0.00006968391,"domain_scores_codex":[0.9978396,0.00009031421,0.0009991437,0.0002689573,0.0004980459,0.000303975],"domain_scores_gemma":[0.9971206,0.001854855,0.0001175249,0.0005986735,0.0002807686,0.00002760538],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"qualitative","study_design_scores_codex":[0.00001467712,0.0000656497,0.1017932,0.008740265,0.00005884376,0.00004776148,0.01078521,0.003443686,0.00001219607,0.04004649,0.009683027,0.825309],"study_design_scores_gemma":[0.005020669,0.0001932031,0.2250055,0.02854607,0.00002380703,0.00007125796,0.2872061,0.07883534,0.0003437613,0.2825549,0.09083138,0.001368079],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8918964,0.001860971,0.1000156,0.002661723,0.0008729353,0.001101931,0.000007812669,0.0005850143,0.0009976636],"genre_scores_gemma":[0.9925142,0.00002741112,0.006926318,0.0002189124,0.000003133126,0.00009073698,0.000004505083,0.000002671499,0.0002121309],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8239409,"threshold_uncertainty_score":0.9757117,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1147151838237907,"score_gpt":0.4100841742700141,"score_spread":0.2953689904462234,"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."}}