{"id":"W3185150045","doi":"","title":"Move Over Canada and EU, Australia Is Best Placed to Benefit in the US-China Trade Tug-of-War","year":2018,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Global trade and economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Tug of war; China; International trade; Political science; Economy; Geography; Economics; Law","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":[0.001167125,0.0005109539,0.000369671,0.0009349617,0.006419636,0.004666254,0.0004934281,0.001928677,0.04502601],"category_scores_gemma":[0.002850437,0.0002115095,0.0004562787,0.001257824,0.001120305,0.002292496,0.002433912,0.002954308,0.008244066],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.008646585,"about_ca_system_score_gemma":0.02331792,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.6016728,"about_ca_topic_score_gemma":0.8025123,"domain_scores_codex":[0.9990878,0.0001048474,0.00001610168,0.00007993478,0.0002811593,0.0004301863],"domain_scores_gemma":[0.9981264,0.00005939657,0.00007199017,0.00006843666,0.0007736009,0.000900124],"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":[0.0004061269,0.000167945,0.03071818,0.0002393694,0.00009478492,0.0008837753,0.002619329,0.000847578,0.002826242,0.1433433,0.6001723,0.217681],"study_design_scores_gemma":[0.00001790174,0.00009082217,0.02171593,0.0001764409,0.00002495845,0.0001673068,0.003972425,0.0004989226,0.0005688601,0.005555211,0.967178,0.00003321423],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"commentary","genre_scores_codex":[0.09654541,0.006955969,0.003570795,0.2771776,0.006336352,0.0001400644,0.001800844,0.0006386009,0.6068344],"genre_scores_gemma":[0.3742527,0.004059112,0.005048321,0.06584192,0.0004014458,0.0000482703,0.0010085,0.0002345563,0.5491052],"genre_candidate":"commentary","genre_consensus":null,"teacher_disagreement_score":0.3983272,"threshold_uncertainty_score":0.8013461,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02326786417119145,"score_gpt":0.2175438580976165,"score_spread":0.194275993926425,"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."}}