{"id":"W2999226124","doi":"10.1177/0020702019897271","title":"Mass support for free trade agreements and factor endowment","year":2019,"lang":"en","type":"article","venue":"International Journal Canada s Journal of Global Policy Analysis","topic":"Global trade and economics","field":"Economics, Econometrics and Finance","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Factor endowment; Economics; Trade barrier; Preference; Sample (material); Endowment; Gross domestic product; Per capita income; Free trade; Workforce; International economics; Demographic economics; International trade; Economic growth; Comparative advantage; Microeconomics","routes":{"ca_aff":true,"ca_fund":false,"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":[0.001591486,0.0001195084,0.0001940421,0.000470196,0.0003136906,0.00120932,0.0001788816,0.0004072723,0.00772892],"category_scores_gemma":[0.01501215,0.00007492499,0.0002092311,0.00059074,0.0006664352,0.0006078659,0.0005071989,0.000524939,0.0004147599],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003362869,"about_ca_system_score_gemma":0.0002078655,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002826717,"about_ca_topic_score_gemma":0.003745623,"domain_scores_codex":[0.9991719,0.0003318204,0.00005813428,0.00009460905,0.0001813701,0.0001621814],"domain_scores_gemma":[0.9801356,0.00898968,0.007531712,0.001088552,0.0006156277,0.001638855],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002362056,0.0002058935,0.979154,0.00001903237,0.0001225901,0.0001767464,0.0007622015,0.001347334,0.000532213,0.001920833,0.0002441304,0.01527881],"study_design_scores_gemma":[0.00001033231,0.0001451785,0.9920393,0.00002455366,0.00002924067,0.0001528488,0.001740126,0.001621898,0.0001661025,0.002942759,0.00111746,0.00001028399],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9950358,0.00008466045,0.0002809619,0.0001365011,0.000003057571,0.000003605091,0.0000481637,0.000002574026,0.004404593],"genre_scores_gemma":[0.9996406,0.00002762462,0.00003864649,0.000008160434,0.000002887134,0.000001037029,0.00002067095,7.185453e-7,0.0002596534],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9971733,"threshold_uncertainty_score":0.02585584,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02717819146575495,"score_gpt":0.2495224634503507,"score_spread":0.2223442719845957,"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."}}