{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004004817,0.0001761991,0.0003657006,0.0006967036,0.0004322481,0.0007524944,0.001758439,0.00009568535,0.00008105172],"category_scores_gemma":[0.00154608,0.0001602446,0.0001524841,0.002230938,0.00008515903,0.0007362149,0.000124719,0.0001353964,0.00002220287],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008881703,"about_ca_system_score_gemma":0.005296111,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004148494,"about_ca_topic_score_gemma":0.02010103,"domain_scores_codex":[0.9976135,0.000130946,0.0006877454,0.0004641094,0.0006190263,0.0004846047],"domain_scores_gemma":[0.9911451,0.0001066593,0.0005026123,0.001117721,0.006597815,0.0005301471],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00002681534,0.00008705081,0.0382156,0.0002006996,0.002206055,0.00005062636,0.006449307,0.00456368,0.00002558129,0.01694446,0.007241573,0.9239886],"study_design_scores_gemma":[0.0007097442,0.0006472761,0.01621196,0.00005801497,0.001767393,0.00007885123,0.0008184444,0.9693715,0.0001102894,0.003856492,0.006102025,0.0002680313],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03851654,0.0001349788,0.9555813,0.002639668,0.0009773192,0.001756994,0.0000191553,0.00006056983,0.0003134717],"genre_scores_gemma":[0.9178414,4.525484e-7,0.08146979,0.00007292143,0.0004808891,0.00004677706,0.00005423634,0.00001774246,0.0000158087],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9648078,"threshold_uncertainty_score":0.9977795,"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."}}