{"id":"W7055059749","doi":"","title":"Canada Warns Donald Trump: Trade Tensions Could Benefit China","year":2024,"lang":"en","type":"other","venue":"","topic":"Atomic and Subatomic Physics Research","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"China; Government (linguistics)","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":[0.001024291,0.0006105821,0.0004313884,0.0009344246,0.01361127,0.007504314,0.00130765,0.01066572,0.08287045],"category_scores_gemma":[0.003657547,0.0003162125,0.0006989751,0.001639818,0.002514426,0.002589472,0.002887178,0.006462678,0.009558673],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02581524,"about_ca_system_score_gemma":0.08054055,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9280462,"about_ca_topic_score_gemma":0.9613357,"domain_scores_codex":[0.9987424,0.00006190759,0.00001648601,0.0000746583,0.0004433843,0.0006612577],"domain_scores_gemma":[0.9984365,0.0001502104,0.00003001162,0.00006763881,0.000756398,0.0005592445],"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":[0.00004668714,0.00002134429,0.001107647,0.00002436307,0.00001039434,0.0001485807,0.0003685987,0.0001550224,0.0001376611,0.09156887,0.8924553,0.01395555],"study_design_scores_gemma":[0.00003132094,0.000009850733,0.002018942,0.00005419019,0.00001184282,0.00002451893,0.001184947,0.000262946,0.0002214215,0.01261069,0.9835401,0.00002908672],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.01112822,0.002717067,0.0002949554,0.2974548,0.003523513,0.00005334922,0.001433687,0.0001982077,0.6831962],"genre_scores_gemma":[0.04187104,0.001278788,0.0002088422,0.05672374,0.0004093828,0.00003365454,0.0002844452,0.0001197884,0.8990703],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.08287045,"threshold_uncertainty_score":0.2772293,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01274522200925256,"score_gpt":0.2621331491943081,"score_spread":0.2493879271850555,"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."}}