{"id":"W3194869050","doi":"10.1186/s12992-021-00740-1","title":"Intellectual property and access to medicines: mapping public attitudes toward pharmaceuticals during the United States-Mexico-Canada Agreement (USMCA) negotiation process","year":2021,"lang":"en","type":"article","venue":"Globalization and Health","topic":"Global Public Health Policies and Epidemiology","field":"Business, Management and Accounting","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Connaught Fund","keywords":"Transparency (behavior); Negotiation; Intellectual property; Pharmaceutical industry; Business; Access to medicines; Accountability; Private sector; Public relations; Political science; Public administration; Law; Medicine; Pharmacology","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008629616,0.0001692699,0.0002751006,0.000149309,0.0006107752,0.0003933956,0.0001771676,0.00004716913,0.000149977],"category_scores_gemma":[0.0008475499,0.0001086736,0.00001518702,0.001334632,0.00005561007,0.0004450051,0.0002658534,0.0001185078,0.000006593822],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002175919,"about_ca_system_score_gemma":0.0004831577,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.1838007,"about_ca_topic_score_gemma":0.08111601,"domain_scores_codex":[0.9982213,0.00009236616,0.000508646,0.0003339291,0.0002893149,0.0005543962],"domain_scores_gemma":[0.9990131,0.00006564929,0.0002039895,0.0001360029,0.000438206,0.000143111],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00005709984,0.0001164651,0.2074809,0.004756212,0.00008338255,0.000007721064,0.001668903,0.005472789,0.000006188512,0.01246456,0.7596205,0.008265263],"study_design_scores_gemma":[0.0004466476,0.0000158611,0.08870097,0.000110481,0.000009326937,0.00000977727,0.002577953,0.03239449,0.000001713701,0.0001861227,0.8754,0.0001466138],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.2276291,0.0006375998,0.004813629,0.764295,0.0003996485,0.0008127816,0.0000126012,0.00008046322,0.001319251],"genre_scores_gemma":[0.6706331,0.001226031,0.00002220913,0.3275681,0.0002868852,0.00002746711,0.0001868854,0.000009556317,0.00003974036],"genre_candidate":"commentary","genre_consensus":null,"teacher_disagreement_score":0.443004,"threshold_uncertainty_score":0.9356512,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.123352446867646,"score_gpt":0.3807529017225177,"score_spread":0.2574004548548717,"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."}}