{"id":"W1528340659","doi":"10.1108/cms-06-2014-0112","title":"Competition in corporate philanthropic disaster giving","year":2015,"lang":"en","type":"article","venue":"Chinese Management Studies","topic":"Corporate Social Responsibility Reporting","field":"Business, Management and Accounting","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal; HEC Montréal","funders":"","keywords":"Competition (biology); Context (archaeology); Value (mathematics); Sample (material); Originality; Business; Negative binomial distribution; Marketing; Economics; Microeconomics; Political science; Law","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":[0.002185758,0.0001597213,0.0002640298,0.0008623719,0.002278602,0.002884262,0.000558353,0.0009299124,0.005911848],"category_scores_gemma":[0.006330025,0.0001303343,0.0002141937,0.0008557102,0.002971023,0.001325827,0.00237836,0.0008123702,0.0002317286],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003310916,"about_ca_system_score_gemma":0.00202682,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007023003,"about_ca_topic_score_gemma":0.009825541,"domain_scores_codex":[0.9971105,0.001416636,0.00008782071,0.0001992782,0.0003725018,0.0008132466],"domain_scores_gemma":[0.9898783,0.003648204,0.003250364,0.0003259414,0.0006051647,0.00229198],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0009929067,0.001208322,0.7303701,0.0004218077,0.0001447964,0.003028382,0.03673425,0.005713925,0.00644011,0.1050741,0.004144162,0.1057273],"study_design_scores_gemma":[0.0001202755,0.0009471986,0.8453844,0.0001830143,0.00008352292,0.0005340035,0.09171616,0.00961575,0.001758414,0.02634231,0.02316969,0.0001452702],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9708071,0.0002823686,0.0005976116,0.0008744773,0.00001664268,0.00002988794,0.00001177689,0.000005491274,0.02737455],"genre_scores_gemma":[0.9994977,0.00002279393,0.00004059108,0.00003023145,0.000004731413,0.000002928905,0.000002407681,3.820076e-7,0.0003981617],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007023003,"threshold_uncertainty_score":0.02402252,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.092796506484745,"score_gpt":0.3126623826071307,"score_spread":0.2198658761223857,"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."}}