{"id":"W6996406844","doi":"","title":"A Safety net to Foster Support for Trade and Globalisation\\nInternational Survey on Attitudes towards Trade\\nand Globalisation 2018. Bertelsmann Stiftung GED Study \\n","year":2019,"lang":"en","type":"other","venue":"Archive of European Integration (AEI) (University of Pittsburgh)","topic":"Telemedicine and Telehealth Implementation","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Globalization; Skepticism; Protectionism; Emerging markets; Product (mathematics); Developing country; Wage; World Values Survey","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0008245155,0.0003239284,0.000651793,0.0005886578,0.00009697169,0.00001698157,0.0002350773,0.00008659785,0.000316622],"category_scores_gemma":[0.0001799595,0.0003291326,0.0001377104,0.0001954024,0.0001294705,0.0001207004,0.00008256262,0.0001867623,0.00001062182],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001311325,"about_ca_system_score_gemma":0.0001790702,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002548338,"about_ca_topic_score_gemma":0.003280911,"domain_scores_codex":[0.9977044,0.0004097498,0.0005424611,0.000546518,0.0005629485,0.0002339492],"domain_scores_gemma":[0.9984645,0.0002237348,0.0006433227,0.0003517036,0.0001212492,0.000195537],"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":[0.00324835,0.0008590066,0.0438023,0.0004160009,0.0008131323,0.00002358139,0.008997166,0.00001602204,0.0004629346,0.00181515,0.895502,0.04404435],"study_design_scores_gemma":[0.005110662,0.003765026,0.8833972,0.0004503672,0.000302671,0.000007110875,0.002119418,0.00005365037,0.00001594915,0.0000797631,0.1044568,0.000241409],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1418345,0.0002401648,0.459632,0.02164772,0.003240682,0.02840642,0.01692906,0.0005662502,0.3275032],"genre_scores_gemma":[0.9590283,0.0002165534,0.004292498,0.001900231,0.0005696397,0.000007795748,0.008982,0.0003118278,0.02469113],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8395949,"threshold_uncertainty_score":0.9999161,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0483681943211345,"score_gpt":0.309622946237137,"score_spread":0.2612547519160026,"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."}}