{"id":"W2160754141","doi":"10.2174/1875692110806020108","title":"Personalized Medicine, Bioethics and Social Responsibilities: Re-thinking the Pharmaceutical Industry to Remedy Inequities in Patient Care and International Health","year":2008,"lang":"en","type":"article","venue":"Current pharmacogenomics and personalized medicine (Online)/Current pharmacogenomics and personalized medicine","topic":"Pharmaceutical Economics and Policy","field":"Economics, Econometrics and Finance","cited_by":21,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","funders":"Canadian Institutes of Health Research; Mayo Clinic","keywords":"Bioethics; Personalized medicine; Pharmacogenomics; Pharmaceutical industry; Biobank; Sustainability; Business; Health care; Prosperity; Public relations; Medicine; Economic growth; Political science; Pharmacology; Economics","routes":{"ca_aff":true,"ca_fund":true,"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":[0.05481492,0.0008393584,0.0009664278,0.002232995,0.01457293,0.02904448,0.002483741,0.02209811,0.003307433],"category_scores_gemma":[0.02919893,0.0006161086,0.001210221,0.001693161,0.1149724,0.03260291,0.01473981,0.02536472,0.0008234088],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01510326,"about_ca_system_score_gemma":0.03253623,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007076385,"about_ca_topic_score_gemma":0.008872827,"domain_scores_codex":[0.9604664,0.02831092,0.0008421941,0.002278036,0.004844067,0.003258253],"domain_scores_gemma":[0.9714704,0.01921607,0.001514121,0.001781569,0.002341982,0.003675892],"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":[0.00001300287,0.00002964404,0.0004278592,0.00006939904,0.00001286313,0.00009963723,0.01333625,0.0002829517,0.0001401399,0.9565422,0.01516706,0.01387895],"study_design_scores_gemma":[0.00001476076,0.00002434664,0.0004113879,0.0003368815,0.000010302,0.00009776726,0.01426714,0.0002972171,0.0001545212,0.8539996,0.1303531,0.00003299583],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.004240821,0.008897088,0.00576908,0.9605027,0.001600325,0.00001932414,0.00001233492,0.00002607213,0.01893222],"genre_scores_gemma":[0.5507375,0.01855823,0.01472051,0.3976309,0.005762757,0.0002036754,0.00004071139,0.0001409246,0.01220486],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.05481492,"threshold_uncertainty_score":0.2898925,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2833368804131214,"score_gpt":0.4420626302182459,"score_spread":0.1587257498051245,"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."}}