{"id":"W6931195650","doi":"10.5281/zenodo.1743521","title":"RANKINGTHEREFACTORING TECHNIQUES BASED ON THE INTERNAL QUALITY ATTRIBUTES","year":2018,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Genetic and phenotypic traits in livestock","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Regina","funders":"","keywords":"Code refactoring; Agile software development; Analytic hierarchy process; Quality (philosophy); Ranking (information retrieval); Extreme programming; Rank (graph theory); Code (set theory); Process (computing)","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":[0.00712805,0.002065056,0.001364111,0.01004024,0.001027822,0.002704496,0.0009761806,0.0006716477,0.007110194],"category_scores_gemma":[0.03036074,0.0003099751,0.002637613,0.005810209,0.0006535153,0.001567426,0.001488153,0.001529017,0.001610651],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001125907,"about_ca_system_score_gemma":0.002728004,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004455035,"about_ca_topic_score_gemma":0.00380753,"domain_scores_codex":[0.9903457,0.002263548,0.0009655455,0.0009463547,0.004840039,0.0006387858],"domain_scores_gemma":[0.9707783,0.01225073,0.002552749,0.00186491,0.01184676,0.0007064734],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0003943821,0.0003354614,0.01972711,0.0008215819,0.000271427,0.0000785143,0.0004596921,0.0156118,0.01269345,0.003163014,0.002933862,0.9435097],"study_design_scores_gemma":[0.0006304214,0.0049292,0.1045168,0.0009368499,0.001591426,0.001003837,0.00394736,0.7070093,0.08712354,0.03976904,0.04802107,0.0005212669],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1024497,0.001135906,0.8843148,0.0003721368,0.0002023923,0.001041906,0.001067938,0.002084692,0.007330586],"genre_scores_gemma":[0.2269865,0.0005773251,0.7670965,0.00004660357,0.00006311858,0.000673419,0.002153656,0.0002890376,0.002113881],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01004024,"threshold_uncertainty_score":0.03769714,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04693175206311922,"score_gpt":0.2801995240384401,"score_spread":0.2332677719753208,"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."}}