{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","sts","scholarly_communication","open_science"],"consensus_categories":["metaresearch","open_science"],"category_scores_codex":[0.0513744,0.000158984,0.0002898502,0.0004873307,0.001897034,0.01329994,0.04208475,0.00008926186,0.0001527693],"category_scores_gemma":[0.03058168,0.0001085831,0.00006418688,0.004794333,0.0009280306,0.002663109,0.01639011,0.0002477129,0.0003134474],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006491209,"about_ca_system_score_gemma":0.0004495398,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009340737,"about_ca_topic_score_gemma":0.0002092417,"domain_scores_codex":[0.9935105,0.0001159829,0.0005093965,0.002365767,0.002791595,0.0007068018],"domain_scores_gemma":[0.994115,0.001388047,0.0003028853,0.00298865,0.0008926683,0.0003127682],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00003972608,0.0001160281,0.003320253,0.00000404818,0.000002817378,0.000001391779,0.0002649713,0.0001692156,0.0006062923,0.3287753,0.3784997,0.2882002],"study_design_scores_gemma":[0.0004185523,0.00008301446,0.01434089,0.00001366784,0.000003687548,0.000003823543,0.0001854642,0.04275405,0.0002602695,0.09240225,0.8493375,0.0001968448],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.09024321,0.0001433857,0.5521976,0.02514409,0.02044475,0.004743938,0.0003822839,0.0002090405,0.3064917],"genre_scores_gemma":[0.891038,9.955935e-7,0.07162132,0.005209764,0.0001771369,0.00005410081,0.000008452778,0.000009165941,0.03188105],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8007948,"threshold_uncertainty_score":0.9994023,"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."}}