{"id":"W4245959889","doi":"10.1108/oxan-db244044","title":"Odds are stacking against Huawei in Canada","year":2019,"lang":"en","type":"other","venue":"Emerald expert briefings","topic":"Global Political and Economic Relations","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"China; Beijing; Government (linguistics); Position (finance); General partnership; International trade; Asia pacific; Odds; Prime minister; Business; Political science; Prime time; Advertising; Law; Finance; Logistic regression","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":[0.001264968,0.0003318966,0.0003776755,0.00104661,0.02199546,0.006153561,0.0009462896,0.002706973,0.04179867],"category_scores_gemma":[0.00375818,0.000210841,0.0003737737,0.001872116,0.003370403,0.00186741,0.003079482,0.004892588,0.002571139],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.04515152,"about_ca_system_score_gemma":0.1743965,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9869109,"about_ca_topic_score_gemma":0.9932554,"domain_scores_codex":[0.9975052,0.0001278815,0.00004166222,0.0001520257,0.0008395882,0.001333562],"domain_scores_gemma":[0.9974532,0.000215448,0.0000770112,0.00006205825,0.001153563,0.001038769],"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":[0.00004171193,0.00002642295,0.003994989,0.0001549469,0.00002130567,0.0004868108,0.004787574,0.000087424,0.0002895205,0.05384889,0.8811036,0.05515684],"study_design_scores_gemma":[0.000006889006,0.000006680136,0.006495344,0.0001995356,0.0000140346,0.00005225425,0.00859346,0.00005867483,0.000232212,0.001877495,0.982435,0.0000284599],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"commentary","genre_scores_codex":[0.02839229,0.01174453,0.0003268172,0.3783929,0.004112321,0.00008262406,0.002119122,0.0001539959,0.5746753],"genre_scores_gemma":[0.2346919,0.01681175,0.0006765875,0.1326797,0.0006091867,0.00006672611,0.001220783,0.0001709898,0.6130724],"genre_candidate":"commentary","genre_consensus":null,"teacher_disagreement_score":0.04515152,"threshold_uncertainty_score":0.3275987,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01736428047270971,"score_gpt":0.2588246426594615,"score_spread":0.2414603621867518,"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."}}