{"id":"W175699789","doi":"","title":"Experiences From the OSSIE Open Source Software Defined Radio Project","year":2010,"lang":"en","type":"article","venue":"The open source business resource","topic":"Radio, Podcasts, and Digital Media","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Open source software; Open source; Computer science; Software-defined radio; Software; Telecommunications; Operating system","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":[],"consensus_categories":[],"category_scores_codex":[0.009046573,0.0005807379,0.0004737384,0.001093528,0.005939633,0.008245626,0.001488246,0.002247051,0.005125975],"category_scores_gemma":[0.01463869,0.0003303668,0.0003793408,0.001436977,0.007941667,0.006837885,0.009295787,0.003414052,0.001300669],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002005933,"about_ca_system_score_gemma":0.001922577,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00550767,"about_ca_topic_score_gemma":0.009733167,"domain_scores_codex":[0.9924591,0.004288668,0.0001295712,0.0004278382,0.001779532,0.0009153032],"domain_scores_gemma":[0.9890781,0.005873834,0.0004228298,0.0005598262,0.001159842,0.002905583],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0006139592,0.001452118,0.008873168,0.0006499824,0.00005480635,0.0059903,0.6879418,0.001048527,0.006964992,0.08170656,0.03687529,0.1678285],"study_design_scores_gemma":[0.00006420667,0.0004044433,0.004543174,0.0003238362,0.00002841044,0.001417761,0.3453367,0.0008661331,0.002933292,0.01138207,0.6325962,0.0001038792],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"other","genre_scores_codex":[0.7284436,0.003964055,0.01754929,0.01738604,0.000579424,0.0001228007,0.0002596517,0.0003720917,0.231323],"genre_scores_gemma":[0.9429649,0.002981061,0.006768419,0.001621917,0.0002483627,0.00007615829,0.0002888897,0.0005534854,0.04449694],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.009046573,"threshold_uncertainty_score":0.0478434,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03821404620068298,"score_gpt":0.301164316536563,"score_spread":0.26295027033588,"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."}}