{"id":"W7002354339","doi":"","title":"NWO To Shred US Independence With USMCA","year":2018,"lang":"en","type":"other","venue":"Bulletin of Miscellaneous Information (Royal Gardens Kew)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Summit; Independence (probability theory); Sovereignty; Sign (mathematics); Government (linguistics); Economic integration","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":[0.0006518904,0.0003320675,0.0002243928,0.001038659,0.003982321,0.005905848,0.0004855049,0.002364033,0.1687888],"category_scores_gemma":[0.004110681,0.0001931673,0.0002691443,0.001179921,0.0006095294,0.002390955,0.002211142,0.00400955,0.05212891],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002407803,"about_ca_system_score_gemma":0.002382743,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04148924,"about_ca_topic_score_gemma":0.09463869,"domain_scores_codex":[0.9993365,0.00004759034,0.00001663167,0.00005943184,0.0003527803,0.0001870462],"domain_scores_gemma":[0.9990712,0.0001320921,0.00005746338,0.0001195851,0.0003588558,0.0002608566],"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":[0.00001982845,0.00002121722,0.00046448,0.00002517352,0.000001954174,0.0001423611,0.0003891791,0.00001254762,0.0001354487,0.02989568,0.9504222,0.01846988],"study_design_scores_gemma":[0.000001156144,0.000002240165,0.0004327481,0.00001933532,7.812566e-7,0.0000147505,0.0001043136,0.000008307773,0.00006355577,0.0002989655,0.9990521,0.0000016652],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.002073925,0.0004580263,0.0001514937,0.009741188,0.002635557,0.00002396581,0.001109975,0.0001827785,0.9836231],"genre_scores_gemma":[0.01797775,0.0005693159,0.0002050342,0.0049183,0.0009180566,0.00003558219,0.0009016535,0.000295792,0.9741785],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1687888,"threshold_uncertainty_score":0.5646548,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005865507761041697,"score_gpt":0.1906451391702856,"score_spread":0.1847796314092439,"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."}}