{"id":"W168703316","doi":"","title":"Creating Disruptive Value For Not-For-Profit Organizations Using Open Source","year":2008,"lang":"en","type":"article","venue":"The open source business resource","topic":"Big Data and Business Intelligence","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Open source; Profit (economics); Value (mathematics); Business; Computer science; Microeconomics; Economics; 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":["metaepi_narrow","sts","scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.001232198,0.0007186399,0.000839712,0.0003208437,0.004948623,0.003362169,0.005266326,0.0002699604,0.0002868665],"category_scores_gemma":[0.001193826,0.0005802971,0.0001815672,0.00354845,0.00051253,0.003125875,0.004538944,0.0002651558,0.000182101],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001350586,"about_ca_system_score_gemma":0.0002691439,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006595052,"about_ca_topic_score_gemma":0.0002380839,"domain_scores_codex":[0.9961005,0.00006198277,0.0009375305,0.001237281,0.0006035774,0.001059167],"domain_scores_gemma":[0.9948917,0.0006089418,0.0009872706,0.001408425,0.002039442,0.00006419952],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"not_applicable","study_design_scores_codex":[0.008006443,0.001332053,0.1848513,0.004664608,0.001797814,0.00009633396,0.0141498,0.3216307,0.01635768,0.1052095,0.2171057,0.1247981],"study_design_scores_gemma":[0.001897587,0.00002003429,0.009071273,0.0003537903,0.0003728761,0.00008781571,0.002212736,0.09418021,0.0003463615,0.000578627,0.889634,0.001244665],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1985481,0.0002053272,0.7718064,0.003270844,0.0007709482,0.0081391,0.0001791509,0.0005200037,0.01656018],"genre_scores_gemma":[0.9426121,0.00002363536,0.009841841,0.01075949,0.005312209,0.001041994,0.00129323,0.0006854954,0.02843004],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7619646,"threshold_uncertainty_score":0.9996648,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1054126699292647,"score_gpt":0.3247626937366975,"score_spread":0.2193500238074328,"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."}}