{"id":"W2181049060","doi":"10.1002/nml.21185","title":"Measuring Social Enterprise Value Creation","year":2015,"lang":"en","type":"article","venue":"Nonprofit Management and Leadership","topic":"Community Development and Social Impact","field":"Economics, Econometrics and Finance","cited_by":39,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Social enterprise; Value creation; Value (mathematics); Business; Accounting; Investment (military); Return on investment; Knowledge management; Public relations; Industrial organization; Economics; Microeconomics; Computer science; Political science; Production (economics)","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007195169,0.0001167728,0.0001888138,0.0001741579,0.0001967221,0.0001399006,0.0001493477,0.00006621931,0.00006831584],"category_scores_gemma":[0.00003285078,0.00014274,0.00005096815,0.0001618804,0.0000503601,0.0002467166,0.00008434945,0.0001211601,0.0002741197],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001075443,"about_ca_system_score_gemma":0.000007145706,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001195543,"about_ca_topic_score_gemma":0.00001547649,"domain_scores_codex":[0.9992316,0.00002948559,0.0002379715,0.000187563,0.00006243082,0.0002509062],"domain_scores_gemma":[0.999662,0.00001511822,0.0001005854,0.0001190333,0.0000177351,0.00008555102],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.000107018,0.0001510944,0.3716874,0.0002430147,0.0003029375,0.00001329938,0.0483591,0.000009497362,0.000003366073,0.5343286,0.01700475,0.02778994],"study_design_scores_gemma":[0.004256611,0.0001388542,0.6900659,0.00008689289,0.0000648845,0.000002563228,0.03665798,0.0009059599,0.00004600056,0.1044995,0.1621007,0.00117412],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.40074,0.002488586,0.003042527,0.005894022,0.0005438808,0.000519883,0.000008367344,0.0001632903,0.5865995],"genre_scores_gemma":[0.9865692,0.00004707017,0.0004602977,0.0004215675,0.0001373469,0.000015341,0.0000152721,0.00001495342,0.01231898],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5858292,"threshold_uncertainty_score":0.5820768,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3877187153409481,"score_gpt":0.274677631659745,"score_spread":0.1130410836812031,"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."}}