{"id":"W2175233529","doi":"10.1002/nml.21186","title":"Social Return on Investment for Good Foot Delivery","year":2015,"lang":"en","type":"article","venue":"Nonprofit Management and Leadership","topic":"Community Development and Social Impact","field":"Economics, Econometrics and Finance","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Foot (prosody); Key (lock); Investment (military); Work (physics); Process (computing); Return on investment; Business; Public relations; Best practice; Process management; Marketing; Management; Computer science; Political science; Economics; Engineering; Production (economics)","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.02026593,0.0004776803,0.0003510095,0.001481076,0.005698219,0.01538555,0.001209593,0.002369673,0.01264214],"category_scores_gemma":[0.05663775,0.0002058352,0.000429718,0.001681893,0.01306232,0.004730392,0.009252216,0.003816243,0.0006149298],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0461256,"about_ca_system_score_gemma":0.06041936,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.09865653,"about_ca_topic_score_gemma":0.1521891,"domain_scores_codex":[0.9806026,0.01041415,0.0003091542,0.0006562445,0.003794744,0.004223113],"domain_scores_gemma":[0.96724,0.01592959,0.002194667,0.001773131,0.006593776,0.006268922],"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":[0.00008083269,0.0001433515,0.01605552,0.0002095583,0.00003427019,0.0004808544,0.01647751,0.001946991,0.0003899704,0.8329512,0.02236651,0.1088633],"study_design_scores_gemma":[0.0000551008,0.0004078856,0.04055364,0.001938714,0.00005206442,0.0003212949,0.0806278,0.004516269,0.001209414,0.3665841,0.5035979,0.0001359408],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1997254,0.00304527,0.03293492,0.2031756,0.0008033062,0.0007486217,0.0003347957,0.0001643033,0.5590678],"genre_scores_gemma":[0.9770805,0.0007548431,0.00607803,0.002694866,0.0001208751,0.0001781859,0.00004658409,0.000038221,0.01300798],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.09865653,"threshold_uncertainty_score":0.3346663,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3878830588489018,"score_gpt":0.2901571258709178,"score_spread":0.09772593297798404,"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."}}