{"id":"W2304025426","doi":"","title":"Establishing and Engaging an Active Open Source Ecosystem with the BeagleBoard","year":2010,"lang":"en","type":"article","venue":"The open source business resource","topic":"Scientific Computing and Data Management","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Open source; Ecosystem; Computer science; Business; Ecology; Biology; 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":[0.01787288,0.0004226545,0.0005616738,0.000266766,0.003678512,0.02427611,0.0137222,0.0001072505,0.0001882285],"category_scores_gemma":[0.0014587,0.0002106684,0.00006480847,0.00261551,0.0005362449,0.002285125,0.01086077,0.0007254863,0.0001198045],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004007189,"about_ca_system_score_gemma":0.0001461627,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002140553,"about_ca_topic_score_gemma":0.007189864,"domain_scores_codex":[0.9937094,0.001140745,0.0006918209,0.001819,0.001919439,0.0007195882],"domain_scores_gemma":[0.9905309,0.00350337,0.0007534129,0.004323049,0.0006020491,0.000287223],"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":[0.0004415659,0.0001682902,0.003737017,0.00002073406,0.00009642116,0.00002375965,0.0193916,0.01044247,0.0005125245,0.0005984483,0.06132203,0.9032452],"study_design_scores_gemma":[0.0007338678,0.00003664858,0.01005113,0.00006253392,0.00004948295,0.00007284281,0.03444758,0.02000052,0.00005148475,0.0002377303,0.9338712,0.0003850398],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9218653,0.0000455263,0.03755611,0.008625105,0.0006029979,0.002040753,0.00003938932,0.0001791372,0.02904569],"genre_scores_gemma":[0.9813542,0.000001016853,0.001037657,0.001545199,0.0004103925,0.00007765235,0.00002418752,0.00007087018,0.01547876],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9028601,"threshold_uncertainty_score":0.9976186,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06736388175107227,"score_gpt":0.3316300368262236,"score_spread":0.2642661550751513,"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."}}