{"id":"W2901297776","doi":"10.2172/1481626","title":"Toward a Compatible Reproducibility Taxonomy for Computational and Computing Sciences","year":2018,"lang":"en","type":"report","venue":"","topic":"Scientific Computing and Data Management","field":"Decision Sciences","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Institute of Standards and Technology; University of Pittsburgh; York University; Sandia National Laboratories; U.S. Department of Energy; National Science Foundation","keywords":"Computer science; Taxonomy (biology); Replication (statistics); Data science; Reproducibility; Management science; Mathematics; Engineering; Biology; Ecology","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.1679985,0.002690605,0.003982488,0.02584572,0.01362796,0.04049007,0.01157412,0.01456175,0.004492938],"category_scores_gemma":[0.2023472,0.002522481,0.004861167,0.0263101,0.02932116,0.07686266,0.02231848,0.02617531,0.003702341],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01326667,"about_ca_system_score_gemma":0.03261811,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004218608,"about_ca_topic_score_gemma":0.003006765,"domain_scores_codex":[0.8432843,0.07619121,0.02436853,0.01116358,0.04104845,0.003943912],"domain_scores_gemma":[0.6560255,0.1514936,0.01841242,0.07198059,0.08932734,0.0127605],"domain_codex":null,"domain_gemma":"reproducibility","domain_candidate":"reproducibility","domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00001156624,0.00004492492,0.0006151971,0.0001779632,0.00001453076,0.00006664886,0.001196516,0.0003420788,0.0001363157,0.9806295,0.00465257,0.01211223],"study_design_scores_gemma":[0.00001844701,0.00004181272,0.0004132703,0.0005377194,0.00001868355,0.0002882,0.001497044,0.003023204,0.0002141127,0.8989349,0.09495796,0.00005470492],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.003153468,0.006857024,0.9015289,0.06441731,0.002026801,0.0008665086,0.0004008023,0.000833391,0.0199158],"genre_scores_gemma":[0.04389176,0.006917034,0.9344687,0.005299462,0.002267074,0.002248094,0.001341079,0.0004841661,0.003082559],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.8320015,"threshold_uncertainty_score":0.8884717,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.6666905415006609,"score_gpt":0.4953811842910563,"score_spread":0.1713093572096046,"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."}}