{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.02775763,0.0002514623,0.0003036304,0.00256384,0.007871384,0.006186678,0.001009058,0.001784362,0.002578122],"category_scores_gemma":[0.07938275,0.0003087258,0.0004873619,0.003027246,0.005268381,0.002591808,0.004328233,0.003351111,0.0002326937],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02996269,"about_ca_system_score_gemma":0.02676712,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.3574432,"about_ca_topic_score_gemma":0.361871,"domain_scores_codex":[0.9742151,0.01278109,0.001048737,0.001079866,0.00660354,0.004271584],"domain_scores_gemma":[0.888454,0.06897628,0.02254778,0.001579827,0.01503048,0.003411576],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"observational","study_design_scores_codex":[0.0004232614,0.0001786489,0.1694055,0.0003181967,0.00004365783,0.000890977,0.7973984,0.0002851157,0.001560499,0.003641315,0.002404082,0.02345025],"study_design_scores_gemma":[0.00001241324,0.00009500315,0.2000929,0.0002539169,0.0000195581,0.00007877043,0.7854602,0.0004979459,0.0008524348,0.0004515775,0.01212484,0.00006052172],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9860138,0.0001727604,0.0004320141,0.002701546,0.00002800683,0.0001569863,0.0001662094,0.000007967192,0.01032081],"genre_scores_gemma":[0.9969735,0.0001917959,0.0004568921,0.000532798,0.000018982,0.0001537479,0.00008475142,0.000007098795,0.001580442],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6425568,"threshold_uncertainty_score":0.7107253,"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."}}