{"id":"W2902455350","doi":"10.3138/cjpe.31157","title":"Three Steps Toward Sustainability: Spreadsheets as a Data-Analysis System for Non-Profit Organizations","year":2018,"lang":"en","type":"article","venue":"Canadian Journal of Program Evaluation","topic":"Spreadsheets and End-User Computing","field":"Computer Science","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Laurentian University","funders":"","keywords":"Leverage (statistics); Sustainability; Profit (economics); Business; Data collection; Work (physics); Computer science; Competitive advantage; Knowledge management; Process management; Marketing; Economics; Microeconomics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.02615004,0.001062238,0.0006045331,0.004713826,0.002329504,0.00901362,0.002517539,0.002231837,0.006954091],"category_scores_gemma":[0.04399866,0.001217346,0.0007778769,0.002757708,0.002057182,0.01032642,0.00626667,0.003400781,0.003652799],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002709071,"about_ca_system_score_gemma":0.007484151,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003507385,"about_ca_topic_score_gemma":0.002559236,"domain_scores_codex":[0.9862431,0.006366728,0.00140289,0.0009062395,0.004651166,0.0004299603],"domain_scores_gemma":[0.9581586,0.01942538,0.002163264,0.008232142,0.009002971,0.003017813],"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":[0.001835159,0.003330275,0.03303678,0.0006294354,0.0002486844,0.001335596,0.02017793,0.01269645,0.02943737,0.08463974,0.06096874,0.7516639],"study_design_scores_gemma":[0.001098369,0.002521727,0.02245455,0.002259802,0.0003322248,0.001366876,0.007996752,0.2970709,0.1242345,0.1428124,0.3967611,0.001090883],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.06364526,0.0001532971,0.8252956,0.008437512,0.0001495045,0.004146598,0.00111888,0.07991709,0.01713626],"genre_scores_gemma":[0.1166499,0.0001364034,0.8713748,0.000810575,0.00006685612,0.001708918,0.001184711,0.001803033,0.006264807],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.02615004,"threshold_uncertainty_score":0.1382963,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1174350320436329,"score_gpt":0.3777692065265517,"score_spread":0.2603341744829188,"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."}}