{"id":"W65686666","doi":"","title":"Editorial: Open Source in Government (May 2009)","year":2009,"lang":"en","type":"editorial","venue":"˜The œopen source business resource","topic":"Open Source Software Innovations","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Open source; Open government; Government (linguistics); Computer science; World Wide Web; Programming language; Open data; Software; Philosophy","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":["open_science"],"consensus_categories":[],"category_scores_codex":[0.009990457,0.004484553,0.005139112,0.008721136,0.005362388,0.01148269,0.004999252,0.02929755,0.02032626],"category_scores_gemma":[0.03226231,0.001679213,0.003763027,0.003402111,0.003769102,0.005647497,0.00349901,0.02351306,0.01418569],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005116554,"about_ca_system_score_gemma":0.003887973,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003962325,"about_ca_topic_score_gemma":0.01302326,"domain_scores_codex":[0.991695,0.001280564,0.001024684,0.0009508043,0.004376378,0.0006725602],"domain_scores_gemma":[0.9720387,0.008856401,0.002373527,0.0008846542,0.01170044,0.004146182],"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":[0.00001810349,0.000006650184,0.00001096685,0.00009840044,0.00001025288,0.00007856188,0.000007427141,0.00001211542,0.00002748413,0.0001263301,0.9967229,0.002880793],"study_design_scores_gemma":[0.00005947662,0.00002133105,0.0003198702,0.0004786383,0.00007157268,0.0002353288,0.00004059927,0.0001208753,0.00009946534,0.0009109483,0.9976195,0.00002245756],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"editorial","genre_scores_codex":[0.00001863955,0.004256598,0.00008121601,0.02940022,0.9648671,0.00001528041,0.00003454397,0.00004150169,0.001284945],"genre_scores_gemma":[0.000389144,0.003399058,0.00009850486,0.02140605,0.9625835,0.00002315489,0.00003888302,0.00004696691,0.01201471],"genre_candidate":"editorial","genre_consensus":"editorial","teacher_disagreement_score":0.9950007,"threshold_uncertainty_score":0.06799811,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.014012508981237,"score_gpt":0.2750876715152535,"score_spread":0.2610751625340165,"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."}}