{"id":"W55394899","doi":"","title":"Open Source in Canada's Public Sector","year":2008,"lang":"en","type":"article","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; Public sector; Political science; Computer science; Law; Operating system; Software","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts","scholarly_communication","open_science"],"consensus_categories":["open_science"],"category_scores_codex":[0.001572546,0.0006563184,0.000850748,0.000426162,0.001686328,0.003013093,0.02246017,0.0001868099,0.0003065086],"category_scores_gemma":[0.000387406,0.0005544759,0.00009658476,0.007927141,0.0003387702,0.002244669,0.01311244,0.0007060316,0.0002518298],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001141935,"about_ca_system_score_gemma":0.005603046,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8240203,"about_ca_topic_score_gemma":0.7619444,"domain_scores_codex":[0.9939639,0.0005999322,0.001150712,0.001503738,0.001322065,0.001459658],"domain_scores_gemma":[0.9940364,0.0006896325,0.0006191905,0.003598008,0.0006879845,0.000368813],"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":[0.0002873139,0.001424203,0.3028185,0.0001432944,0.0003732388,0.001181691,0.01729523,0.03565491,0.0003452922,0.01232895,0.3754148,0.2527326],"study_design_scores_gemma":[0.001344316,0.00002305615,0.0860102,0.00007135389,0.000008534069,0.0004165526,0.0006768435,0.007190251,0.0000328286,0.0001719036,0.9032438,0.0008103473],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4281925,0.0005251419,0.4350045,0.05207073,0.001075159,0.006829723,0.00005351326,0.001067527,0.07518114],"genre_scores_gemma":[0.9669851,0.000009136439,0.004607716,0.008848211,0.0002385239,0.0003707801,0.0000416997,0.0001587244,0.01874008],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5387926,"threshold_uncertainty_score":0.9996907,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04189171218673708,"score_gpt":0.2455800470763241,"score_spread":0.203688334889587,"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."}}