{"id":"W4210736653","doi":"10.5753/wscad.2009.17394","title":"Automação de Refatorações para Programas Fortran de Alto Desempenho","year":2009,"lang":"pt","type":"article","venue":"","topic":"Software Engineering Research","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ovarian Cancer Canada","funders":"","keywords":"Humanities; Physics; Computer science; Art","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":[0.001463198,0.001402444,0.0006300723,0.001063422,0.001033396,0.002384195,0.001470298,0.0009831411,0.01173202],"category_scores_gemma":[0.007647295,0.0008615009,0.00133195,0.0009558024,0.0009849094,0.002895239,0.001989681,0.001727901,0.005309117],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001012256,"about_ca_system_score_gemma":0.00197016,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00607902,"about_ca_topic_score_gemma":0.007990357,"domain_scores_codex":[0.9974797,0.0004339404,0.0002282086,0.0006353282,0.0009853618,0.0002374022],"domain_scores_gemma":[0.9947749,0.001668087,0.0003615731,0.001720106,0.001333808,0.0001414096],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0008928227,0.0002313531,0.005800626,0.001501412,0.0001306958,0.0008444406,0.003802178,0.01873121,0.1123045,0.02146522,0.01622603,0.8180695],"study_design_scores_gemma":[0.0002234953,0.0008416171,0.008341247,0.0005037716,0.0003139736,0.001741819,0.001579255,0.2184373,0.3469766,0.02619788,0.3945335,0.0003094884],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.06844188,0.001106389,0.8421917,0.0006095392,0.0002161831,0.0005057676,0.0007816945,0.06857552,0.01757136],"genre_scores_gemma":[0.3722934,0.0009612092,0.5742044,0.0005768485,0.00007893526,0.0005100221,0.002349173,0.008975187,0.04005079],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01173202,"threshold_uncertainty_score":0.03924751,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0383441872667924,"score_gpt":0.3347960013826347,"score_spread":0.2964518141158423,"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."}}