{"id":"W4235660582","doi":"10.1108/oxan-es213836","title":"Extradition issue will strain Canada-China trade talks","year":2016,"lang":"en","type":"other","venue":"Emerald expert briefings","topic":"World Trade Organization Law","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"China; Strain (injury); Political science; Law; Medicine","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001502916,0.0003857033,0.0003822874,0.0001217051,0.0004092545,0.0001144048,0.0005155863,0.0003608334,0.08446781],"category_scores_gemma":[0.00008775046,0.0003796022,0.00009171473,0.0002858533,0.0003493796,0.0002562932,0.0000275745,0.0002356973,0.0001947113],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004464226,"about_ca_system_score_gemma":0.0008991035,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9755887,"about_ca_topic_score_gemma":0.8627373,"domain_scores_codex":[0.9974847,0.0001690928,0.0003234401,0.0005566113,0.0008416203,0.0006245286],"domain_scores_gemma":[0.9990184,0.00004982305,0.0002588718,0.0003454568,0.00002247462,0.0003049733],"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":[0.00000164232,0.00002166342,0.000001243132,0.00001191696,0.0000436564,0.00002086818,0.002374282,1.373415e-7,0.0001613542,0.02881657,0.9664981,0.002048588],"study_design_scores_gemma":[0.0002431967,0.000008269798,0.0001055655,0.0001551197,0.00001389519,0.000003190557,0.00003354066,6.080464e-7,0.00006422895,0.0002680515,0.9985766,0.0005277408],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"other","genre_scores_codex":[8.598192e-7,0.000750397,0.0001284661,0.633991,0.0006953247,0.0003393619,0.0002427059,0.0004291243,0.3634228],"genre_scores_gemma":[0.0007674125,0.0006514372,0.0003518975,0.101849,0.004667361,0.00002910639,0.0002000952,0.0005785276,0.8909052],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.532142,"threshold_uncertainty_score":0.9998656,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007555612123041659,"score_gpt":0.2550383684359492,"score_spread":0.2474827563129076,"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."}}