{"id":"W2270692170","doi":"","title":"Go green - a case study of green banking initiatives of ICICI Bank Limited","year":2015,"lang":"en","type":"article","venue":"International Conference on Bioinformatics","topic":"Environmental Sustainability in Business","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Subsidiary; Business; Finance; China; Retail banking; Multinational corporation; Geography","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003676307,0.0001716184,0.0002372183,0.000369767,0.00005079019,0.0000742741,0.0003942343,0.00005503261,0.0002554381],"category_scores_gemma":[0.0002306648,0.0001556845,0.00004649211,0.0002829466,0.0001278147,0.001442703,0.0003261895,0.0001373723,0.00006295936],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008864629,"about_ca_system_score_gemma":0.00004024139,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004248173,"about_ca_topic_score_gemma":0.0003615768,"domain_scores_codex":[0.9984484,0.00001845369,0.000649985,0.0001260814,0.000610945,0.0001460901],"domain_scores_gemma":[0.9983771,0.00006905117,0.0006224854,0.000245705,0.0006679212,0.00001777714],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0008630955,0.005896316,0.7287607,0.001910322,0.000733963,0.0007030286,0.04749265,0.00252719,0.0001495785,0.1522695,0.0007062423,0.05798752],"study_design_scores_gemma":[0.008163835,0.001025518,0.1266638,0.0006642363,0.0002737171,0.0001862924,0.3825837,0.4606416,0.0002521245,0.01590522,0.002344619,0.001295285],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9500481,0.000002588376,0.0002862819,0.0003621302,0.0001807455,0.0003771868,0.00001584925,0.00003116091,0.04869593],"genre_scores_gemma":[0.9991152,0.000001757024,0.000328187,0.0002770597,0.0001029218,0.00001362322,0.00003720911,0.00001139953,0.0001126472],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6020968,"threshold_uncertainty_score":0.6421995,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07529625302438155,"score_gpt":0.2945318788093184,"score_spread":0.2192356257849368,"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."}}