{"id":"W2034159788","doi":"10.1038/ngeo2283","title":"Open code for open science?","year":2014,"lang":"en","type":"article","venue":"Nature Geoscience","topic":"Scientific Computing and Data Management","field":"Decision Sciences","cited_by":105,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Open science; Code (set theory); Open source; Computer science; Source code; Open source software; Software quality; Software; Code review; Quality (philosophy); Open data; Programming language; Software development; World Wide Web; Mathematics; Set (abstract data type); Statistics; Physics","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":["metaresearch","open_science"],"consensus_categories":[],"category_scores_codex":[0.01255799,0.0008790122,0.0008335214,0.002678005,0.003449084,0.009962271,0.002949505,0.007777463,0.07428641],"category_scores_gemma":[0.09957167,0.0008795162,0.001560774,0.002783511,0.008092796,0.03753759,0.01346639,0.008624904,0.03408454],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002258626,"about_ca_system_score_gemma":0.007553587,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002887613,"about_ca_topic_score_gemma":0.002212506,"domain_scores_codex":[0.9882522,0.003399113,0.00102163,0.001267191,0.003979556,0.002080281],"domain_scores_gemma":[0.9146734,0.02391661,0.003947917,0.03519673,0.01388259,0.008382787],"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":[0.00009649344,0.00007380494,0.0008089015,0.0002308463,0.00002798033,0.0001064866,0.0005274881,0.0004278654,0.001146341,0.7038792,0.2243774,0.0682972],"study_design_scores_gemma":[0.00003027077,0.00002020395,0.0004379007,0.0003659366,0.00001542777,0.0001172601,0.0003266647,0.001279878,0.001060459,0.4565732,0.5397255,0.00004743581],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"other","genre_gemma":"commentary","genre_scores_codex":[0.01255314,0.006827518,0.3224842,0.2714891,0.03374546,0.0002334166,0.00294002,0.02278727,0.3269399],"genre_scores_gemma":[0.3307014,0.01066937,0.2675673,0.07193211,0.03105781,0.001316717,0.009826828,0.03932798,0.2376005],"genre_candidate":"commentary","genre_consensus":null,"teacher_disagreement_score":0.9970505,"threshold_uncertainty_score":0.2485127,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1381484322346951,"score_gpt":0.4727687705860854,"score_spread":0.3346203383513903,"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."}}