{"id":"W7062539815","doi":"","title":"Trump economic advisor: Trade deal with Mexico is 'even closer,' getting Canada on board is next","year":2018,"lang":"en","type":"other","venue":"","topic":"Gyrotron and Vacuum Electronics Research","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Government (linguistics); Context (archaeology); Free trade; Work (physics)","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":[0.0007655778,0.0005310739,0.0005395676,0.001597042,0.009238153,0.008210668,0.0009690085,0.006656175,0.3351642],"category_scores_gemma":[0.003345335,0.0004646706,0.0004265796,0.001253217,0.0009346553,0.002299504,0.00129579,0.006730425,0.08246228],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0117552,"about_ca_system_score_gemma":0.02888964,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.4872756,"about_ca_topic_score_gemma":0.7361175,"domain_scores_codex":[0.9987615,0.00003031398,0.00001552148,0.0001002057,0.0006604504,0.0004320139],"domain_scores_gemma":[0.9970752,0.0001475218,0.00005720894,0.00008939794,0.00180836,0.0008223877],"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":[0.0000177051,0.00001674405,0.0002609984,0.00001417564,0.000001516934,0.00004368815,0.00003421198,0.00001785117,0.00006214937,0.003958336,0.9904476,0.005124994],"study_design_scores_gemma":[0.00001147911,0.000007820537,0.001517753,0.00003387778,0.000003240711,0.00001585892,0.000198855,0.00005075894,0.0001451649,0.0004538448,0.9975533,0.000008146229],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.00250945,0.0006379556,0.0001900986,0.03415007,0.00269751,0.0001148723,0.004723529,0.0005243617,0.9544522],"genre_scores_gemma":[0.00312704,0.0001646592,0.00006242823,0.002018051,0.0001208444,0.00001775704,0.0004537035,0.0001052989,0.9939302],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.5127244,"threshold_uncertainty_score":0.9688787,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01252082451039039,"score_gpt":0.2575366123196868,"score_spread":0.2450157878092964,"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."}}