{"id":"W7015849403","doi":"","title":"Trump expected to hit Canada, Mexico, EU with steel and aluminum tariffs","year":2018,"lang":"en","type":"other","venue":"","topic":"Teratomas and Epidermoid Cysts","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Government (linguistics); European union; Aluminium; Production (economics); Payment","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":[],"consensus_categories":[],"category_scores_codex":[0.0004414793,0.0005972659,0.0002325068,0.001415893,0.003816685,0.002573422,0.000624996,0.003263293,0.196851],"category_scores_gemma":[0.001534846,0.0002108935,0.0005333821,0.0007221465,0.0007749445,0.001153277,0.001846329,0.003460561,0.04976082],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003772497,"about_ca_system_score_gemma":0.007617186,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1118221,"about_ca_topic_score_gemma":0.26217,"domain_scores_codex":[0.9995379,0.00002174726,0.00001083072,0.00003294693,0.0002171776,0.0001793684],"domain_scores_gemma":[0.9990257,0.00004088864,0.00003547801,0.00003277258,0.0004344356,0.0004306969],"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":[0.00004678542,0.00008413758,0.002429142,0.00005525054,0.000008470747,0.001366256,0.0001252205,0.0000843249,0.0004255425,0.009915598,0.9382817,0.04717757],"study_design_scores_gemma":[0.00000780247,0.00002010086,0.001585468,0.00005186264,0.000003487816,0.0004979298,0.0002477028,0.00005351409,0.0001840044,0.0007306651,0.9966126,0.000004767589],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.006737793,0.001710826,0.0005528387,0.03129566,0.008469195,0.0001537728,0.001810736,0.0004362703,0.9488329],"genre_scores_gemma":[0.007210456,0.0006664124,0.0002661777,0.002685942,0.0003693236,0.00001688828,0.0003702283,0.00008386339,0.9883306],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.8881779,"threshold_uncertainty_score":0.6585322,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006845973726728362,"score_gpt":0.2182859555324202,"score_spread":0.2114399818056919,"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."}}