{"id":"W2016321034","doi":"10.4018/ijsi.2014100101","title":"LAKE","year":2014,"lang":"en","type":"article","venue":"International Journal of Software Innovation","topic":"Software System Performance and Reliability","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Algoma University","funders":"","keywords":"Debugging; Computer science; Java; Coding (social sciences); Software engineering; Programming language; Software; Process (computing); Logging","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":[0.001042435,0.00007578177,0.0001219437,0.0003982366,0.00003715545,0.0001146512,0.0009587742,0.00005318821,0.00002385396],"category_scores_gemma":[0.0009339887,0.00006046302,0.00005856215,0.0004940637,0.0000241614,0.001001309,0.00008550635,0.0001458959,0.00003405405],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005743827,"about_ca_system_score_gemma":0.0000876088,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002030829,"about_ca_topic_score_gemma":0.000002010881,"domain_scores_codex":[0.9985222,0.00003713806,0.0006129607,0.0001083156,0.0006248746,0.00009455021],"domain_scores_gemma":[0.9967293,0.000125897,0.0005406768,0.0001836157,0.002393617,0.00002686439],"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":[0.00004259834,0.000145808,0.1185945,0.000022912,0.0001195205,0.00002019557,0.000449632,0.0005877575,0.0006481767,0.08338659,0.006718867,0.7892634],"study_design_scores_gemma":[0.003479179,0.0007360647,0.2628368,0.0004968261,0.00001881168,0.001352324,0.00004290651,0.008130139,0.008938807,0.11951,0.5937865,0.0006716078],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1166734,0.00001481939,0.8777779,0.001658047,0.003469803,0.00003201677,0.000001177585,0.00006206959,0.0003107806],"genre_scores_gemma":[0.9382282,0.000006354791,0.06029675,0.0007492308,0.0006495292,0.000001429985,0.000004111494,0.000004962844,0.00005943312],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8215548,"threshold_uncertainty_score":0.2465611,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009691650273844636,"score_gpt":0.2571385186142511,"score_spread":0.2474468683404064,"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."}}