{"id":"W84568722","doi":"","title":"Reassuring End Users Of Open Source: The OSGeo Example","year":2009,"lang":"en","type":"article","venue":"˜The œopen source business resource","topic":"Scientific Computing and Data Management","field":"Decision Sciences","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Open source; Computer science; Computer security; Internet privacy; Operating system; Software","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":"codex-gemma-dda1882f352a","candidate_categories":["sts","scholarly_communication","open_science"],"consensus_categories":["open_science"],"category_scores_codex":[0.01640008,0.0003736549,0.0006527917,0.0003065852,0.001612806,0.006295772,0.01926401,0.00009268575,0.0007118769],"category_scores_gemma":[0.00155932,0.0002047945,0.0001731427,0.004270693,0.0005192833,0.0007565573,0.008976839,0.0002691684,0.000353364],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005471071,"about_ca_system_score_gemma":0.0001291361,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006313047,"about_ca_topic_score_gemma":0.0004072506,"domain_scores_codex":[0.9931678,0.0008580551,0.001259121,0.001453127,0.002531913,0.0007299935],"domain_scores_gemma":[0.9907463,0.002230742,0.0009550413,0.005356262,0.0005357551,0.0001758574],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002579588,0.0002533301,0.002829859,0.00001207085,0.00006527075,0.00001145446,0.004765695,0.03332264,0.0002519822,0.00134702,0.2969971,0.6598856],"study_design_scores_gemma":[0.0006231934,0.00003408646,0.05594283,0.00006901713,0.00004076372,0.00002145862,0.004721911,0.005748066,0.00005598976,0.001860988,0.930589,0.0002927511],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6286312,0.0007266999,0.1069531,0.02866838,0.001484997,0.005240794,0.00007593094,0.0003965437,0.2278224],"genre_scores_gemma":[0.9352637,0.000005601129,0.0006094332,0.002218687,0.0002220985,0.00002605232,0.00002407073,0.00004033314,0.06159004],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6595929,"threshold_uncertainty_score":0.999687,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1431843341139448,"score_gpt":0.3650155925316801,"score_spread":0.2218312584177353,"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."}}