{"id":"W4321609628","doi":"10.1109/jsyst.2023.3241415","title":"Editorial","year":2023,"lang":"es","type":"editorial","venue":"IEEE Systems Journal","topic":"Software Engineering Research","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"","keywords":"Computer science; Code (set theory); Machine learning; Artificial intelligence; Training set; Significant difference; Data mining; Statistics; Mathematics","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.002577663,0.001206611,0.001055238,0.002676169,0.002389746,0.009015502,0.002966639,0.003910336,0.5121596],"category_scores_gemma":[0.01825176,0.000494446,0.00125812,0.001719177,0.001384779,0.00578333,0.003770262,0.004171238,0.3246138],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002130529,"about_ca_system_score_gemma":0.004218542,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002080429,"about_ca_topic_score_gemma":0.002717318,"domain_scores_codex":[0.9962667,0.000559455,0.0002965183,0.0009208148,0.001590413,0.0003661794],"domain_scores_gemma":[0.989575,0.001910515,0.0006090042,0.001595201,0.004299888,0.002010382],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00004405138,0.00002251934,0.0002076896,0.0002918621,0.000009508753,0.0001510405,0.00009227225,0.0000685226,0.0001837057,0.007783993,0.9117943,0.07935052],"study_design_scores_gemma":[0.000005002509,0.000006463642,0.00009875414,0.0001103033,0.000003230611,0.0001020841,0.00005013353,0.00003209844,0.00007226826,0.001161744,0.9983537,0.000004248021],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"editorial","genre_scores_codex":[0.001311069,0.01400303,0.005597716,0.06122189,0.2509622,0.0003373734,0.004948221,0.003072681,0.6585459],"genre_scores_gemma":[0.01290964,0.01163886,0.003464355,0.02754869,0.07360131,0.0002298222,0.005469116,0.001820566,0.8633177],"genre_candidate":"editorial","genre_consensus":null,"teacher_disagreement_score":0.4878404,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02098646353110634,"score_gpt":0.2971159760996975,"score_spread":0.2761295125685911,"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."}}