{"id":"W3047348261","doi":"10.1111/beer.12312","title":"Different forms of corporate philanthropy, different effects: A multilevel analysis","year":2020,"lang":"en","type":"article","venue":"Business Ethics A European Review","topic":"Corporate Social Responsibility Reporting","field":"Business, Management and Accounting","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"National Natural Science Foundation of China","keywords":"Value (mathematics); Business; Sample (material); Life satisfaction; Corporate social responsibility; Multilevel model; Marketing; Public relations; Psychology; Social psychology; 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":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.002085016,0.0005124723,0.0015512,0.0002503257,0.0002251005,0.0001847325,0.0005928205,0.0001069008,0.0001613368],"category_scores_gemma":[0.00934877,0.0003792736,0.000608484,0.003187491,0.0002301993,0.0003978469,0.0007749972,0.0006770846,0.0001562947],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004230756,"about_ca_system_score_gemma":0.0000805682,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008285747,"about_ca_topic_score_gemma":0.00006616492,"domain_scores_codex":[0.9961375,0.000343709,0.001531731,0.0007273321,0.0008575242,0.0004021879],"domain_scores_gemma":[0.9944485,0.0004148108,0.003041791,0.0006824661,0.001344223,0.00006813836],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"systematic_review","study_design_gemma":"observational","study_design_scores_codex":[0.0007476392,0.002252934,0.2594766,0.3912852,0.004672676,0.001417078,0.001502627,0.0003998671,0.01184595,0.04974265,0.002848754,0.273808],"study_design_scores_gemma":[0.001879475,0.00007306122,0.9282532,0.01443132,0.009794602,0.000006612422,0.0001113479,0.007901876,0.0002361468,0.00320749,0.03210743,0.001997387],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9132097,0.02120681,0.02695067,0.02584695,0.0006463049,0.003778415,0.00004262349,0.0007575151,0.007561032],"genre_scores_gemma":[0.9834719,0.006627955,0.00008206547,0.009054865,0.0004406997,0.00002446341,0.0001505133,0.00009815639,0.00004934487],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6687766,"threshold_uncertainty_score":0.9998659,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1483635243322035,"score_gpt":0.3094324867962217,"score_spread":0.1610689624640181,"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."}}