{"id":"W7034950195","doi":"","title":"USMCA Kills The Tariff","year":2019,"lang":"en","type":"other","venue":"Bulletin of Miscellaneous Information (Royal Gardens Kew)","topic":"Prenatal Screening and Diagnostics","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Tariff; Negotiation; Independence (probability theory); Government (linguistics); Multilateral trade negotiations; Free trade","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":[0.0006327225,0.0003477567,0.0001903115,0.0007625322,0.005697141,0.003520843,0.0004467135,0.004442296,0.1347917],"category_scores_gemma":[0.004957162,0.0002643916,0.0002606542,0.0008473615,0.0007447426,0.001867399,0.001297661,0.004810513,0.03323267],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002992654,"about_ca_system_score_gemma":0.003751521,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1097157,"about_ca_topic_score_gemma":0.2518395,"domain_scores_codex":[0.9991322,0.00007462685,0.00001783106,0.00006905186,0.0004428261,0.0002634349],"domain_scores_gemma":[0.9987484,0.0003036544,0.00006488531,0.00007469016,0.0005215233,0.0002868997],"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":[0.00001006972,0.000006193683,0.0003916457,0.00001003906,7.537015e-7,0.0000815381,0.00009327968,0.000008243275,0.00007143297,0.007803364,0.9823067,0.009216745],"study_design_scores_gemma":[0.000001723961,0.000003620215,0.0007412815,0.00001672182,0.000001033255,0.00003691123,0.0001689016,0.00002657539,0.0001275852,0.00037961,0.9984928,0.00000316104],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.003328223,0.0009940068,0.0002052862,0.07920539,0.004364552,0.00002580273,0.001226346,0.0002998939,0.9103504],"genre_scores_gemma":[0.01338768,0.0005725596,0.0001524273,0.02498109,0.0006177448,0.00002305424,0.0005249435,0.0001611859,0.9595792],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1347917,"threshold_uncertainty_score":0.4509233,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006160545065119374,"score_gpt":0.1942498326462976,"score_spread":0.1880892875811783,"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."}}