{"id":"W6939811928","doi":"10.6084/m9.figshare.15982357","title":"Additional file 1 of 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":"Figshare","topic":"Pharmaceutical Economics and Policy","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Intellectual property; Process (computing); Negotiation; Property (philosophy); Public access","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001721156,0.0005030349,0.0005599671,0.002880306,0.001143331,0.001903851,0.001232963,0.0009557724,0.8462069],"category_scores_gemma":[0.03770613,0.0003728431,0.0005213217,0.007041662,0.0003176338,0.002310431,0.001046432,0.001031573,0.1497793],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002605692,"about_ca_system_score_gemma":0.004727453,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.08167479,"about_ca_topic_score_gemma":0.09461325,"domain_scores_codex":[0.9989496,0.0001908883,0.0001469756,0.000156849,0.0003311881,0.0002246211],"domain_scores_gemma":[0.9603888,0.02831271,0.002520032,0.001360172,0.006473085,0.0009452923],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.00006398262,0.00004265833,0.002036581,0.0004772684,0.00000797464,0.00001744545,0.0001020761,0.000212087,0.00001670368,0.0010525,0.9925402,0.003430665],"study_design_scores_gemma":[0.001474029,0.0001133053,0.05549464,0.002160169,0.00005658837,0.000131044,0.002922165,0.001295505,0.0004147466,0.007310352,0.9285377,0.00008990411],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.000253249,0.000005496818,0.00006425619,0.0001438223,0.000007743982,0.00005625243,0.9967023,0.0000550067,0.002711867],"genre_scores_gemma":[0.0167742,0.0001186181,0.001927205,0.0004151958,0.00006050296,0.002214592,0.9520451,0.0003696873,0.02607486],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9183252,"threshold_uncertainty_score":0.2193671,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1685218022715173,"score_gpt":0.3158965118918517,"score_spread":0.1473747096203344,"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."}}