{"id":"W2259276603","doi":"","title":"Corporate Social Responsibility as a Driver for Addressing Global Pharmaceutical Inequalities","year":2014,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Biotechnology and Related Fields","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Globalization; Inequality; Corporate social responsibility; Business; Intellectual property; Action (physics); Rhetoric; Population; Public economics; Public relations; Economic growth; Political science; Economics; Medicine; Law; Environmental health","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0134676,0.0003220734,0.0003906811,0.002127818,0.005972013,0.01060621,0.0009516294,0.004356157,0.008282123],"category_scores_gemma":[0.01733683,0.0001957548,0.0005068501,0.001532596,0.01989894,0.006710506,0.01319565,0.007271729,0.0005186484],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005740084,"about_ca_system_score_gemma":0.01386021,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007466493,"about_ca_topic_score_gemma":0.009099128,"domain_scores_codex":[0.9882873,0.004917064,0.0002073059,0.00067974,0.002931821,0.002976859],"domain_scores_gemma":[0.980122,0.00660309,0.002873426,0.001044247,0.002418574,0.00693864],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00003651035,0.0002208632,0.01964954,0.0001908626,0.00005067867,0.0003097844,0.02307707,0.0003251514,0.0004825743,0.8580691,0.02875622,0.0688317],"study_design_scores_gemma":[0.00005411624,0.000158335,0.02728288,0.001233434,0.00004268729,0.0003489101,0.03581035,0.001009057,0.0008164886,0.5954747,0.3376937,0.00007531756],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.1196011,0.00700559,0.006513986,0.6025982,0.001242377,0.00007516652,0.00008784715,0.00007712464,0.2627987],"genre_scores_gemma":[0.9631349,0.002915982,0.001155085,0.02505736,0.0006088372,0.0000360928,0.00002823209,0.00003212077,0.007031311],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0134676,"threshold_uncertainty_score":0.07122427,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05211629147305869,"score_gpt":0.3596532966117262,"score_spread":0.3075370051386676,"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."}}