{"id":"W2910904204","doi":"10.12660/gvcasosv8n2c12","title":"KariGhana Alliance: developing a social balanced scorecard to monitor the break-even","year":2018,"lang":"en","type":"article","venue":"Revista Brasileira de Casos de Ensino em Administração","topic":"Innovation and Socioeconomic Development","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"HEC Montréal","funders":"","keywords":"Balanced scorecard; Alliance; Business; Order (exchange); Marketing; Quality (philosophy); Corporate social responsibility; Process management; Public relations; Finance; Political science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"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":[0.01725907,0.0007869817,0.000611699,0.007714729,0.0008350004,0.003387672,0.0009835075,0.0007533169,0.00562242],"category_scores_gemma":[0.03173888,0.0002996406,0.0005459628,0.004911717,0.0007826888,0.002882047,0.002414716,0.0008373792,0.00245143],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002351288,"about_ca_system_score_gemma":0.004810606,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004520037,"about_ca_topic_score_gemma":0.007278262,"domain_scores_codex":[0.9823853,0.008514733,0.002456256,0.0007056716,0.005225657,0.0007124027],"domain_scores_gemma":[0.9747464,0.006892752,0.004218312,0.0009542485,0.011164,0.0020242],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"qualitative","study_design_scores_codex":[0.001032039,0.001447113,0.1546762,0.0006489776,0.0001786328,0.0002251735,0.003263043,0.001860442,0.004394036,0.008488544,0.03411328,0.7896726],"study_design_scores_gemma":[0.001163702,0.003697957,0.5488477,0.001206634,0.0003211842,0.0007745209,0.01206214,0.03705311,0.01267067,0.01613872,0.3655099,0.0005537358],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6584135,0.001516677,0.1197284,0.006606807,0.0009090313,0.0211595,0.01205704,0.003821191,0.1757878],"genre_scores_gemma":[0.6570998,0.0008412913,0.3026519,0.0006842142,0.0001637129,0.00890334,0.007998249,0.0003206291,0.02133681],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01725907,"threshold_uncertainty_score":0.09127575,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03678338263490311,"score_gpt":0.2911185163358788,"score_spread":0.2543351337009757,"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."}}