{"id":"W4214851230","doi":"10.4033/iee.2013.6b.6.f","title":"Nine simple ways to make it easier to (re)use your data","year":2013,"lang":"en","type":"article","venue":"Ideas in Ecology and Evolution","topic":"Scientific Computing and Data Management","field":"Decision Sciences","cited_by":86,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Reuse; Computer science; Simple (philosophy); Process (computing); Focus (optics); Data sharing; Data science; Work (physics); Engineering","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch","open_science"],"consensus_categories":[],"category_scores_codex":[0.1155815,0.003765108,0.001713916,0.008151779,0.006484871,0.0158953,0.008542012,0.01053725,0.03794193],"category_scores_gemma":[0.2550349,0.003468786,0.005523568,0.008182181,0.008456611,0.02991181,0.01838626,0.01743405,0.02718275],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003614536,"about_ca_system_score_gemma":0.01232979,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003622981,"about_ca_topic_score_gemma":0.008037969,"domain_scores_codex":[0.8808231,0.05854143,0.01976318,0.006021069,0.03086044,0.003990781],"domain_scores_gemma":[0.6901789,0.1031254,0.0167625,0.06172965,0.1090715,0.01913199],"domain_codex":null,"domain_gemma":"reproducibility","domain_candidate":"reproducibility","domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0007181273,0.000751499,0.005217939,0.004553793,0.000367355,0.0006783921,0.006247248,0.0009833104,0.006006493,0.05752116,0.3781492,0.5388054],"study_design_scores_gemma":[0.000588991,0.0004794308,0.004988515,0.004647259,0.0003380804,0.001564035,0.004966862,0.003134271,0.008007089,0.09554324,0.8747445,0.0009976588],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.007427752,0.003064978,0.7928098,0.1345081,0.00820407,0.006352641,0.003134934,0.01725335,0.02724436],"genre_scores_gemma":[0.008258298,0.001781328,0.9642884,0.008068671,0.0007118612,0.002881584,0.001750023,0.00144609,0.01081376],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.991458,"threshold_uncertainty_score":0.6112608,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2337428916138918,"score_gpt":0.3986419300990907,"score_spread":0.1648990384851989,"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."}}