{"id":"W2289022894","doi":"","title":"Chinese Investment Eyes U.S. High-tech Sectors","year":2014,"lang":"zh","type":"article","venue":"中国对外贸易：英文版","topic":"Asian Industrial and Economic Development","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Investment (military); Quarter (Canadian coin); High tech; China; Business; Political science; Geography; Politics","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":["insufficient_payload"],"category_scores_codex":[0.001391896,0.0004631781,0.0006331936,0.0001542787,0.0008316906,0.0002716329,0.0007101405,0.0004804106,0.003640114],"category_scores_gemma":[0.0003142747,0.000411354,0.0001984444,0.00051542,0.0004340803,0.0003093971,0.0002608078,0.0004023325,0.003936337],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005621664,"about_ca_system_score_gemma":0.0004768098,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01548591,"about_ca_topic_score_gemma":0.005856126,"domain_scores_codex":[0.996803,0.0003179078,0.0007189892,0.0007291175,0.000480632,0.000950344],"domain_scores_gemma":[0.998445,0.000138773,0.0003438923,0.0004615306,0.00006232067,0.0005485389],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001652664,0.001039213,0.1311464,0.0001703372,0.0008405129,0.0000424467,0.1645987,0.0001934661,0.0002796891,0.3483549,0.2055497,0.1476194],"study_design_scores_gemma":[0.002178749,0.0003016448,0.09527666,0.0001732907,0.00009913689,0.000003965918,0.01243698,0.0001378259,0.0002265509,0.03727555,0.8503089,0.001580772],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6140172,0.0001515362,0.00005105702,0.005390031,0.006290857,0.0004819694,0.00002419244,0.0001501272,0.373443],"genre_scores_gemma":[0.9631342,0.0001547489,0.0004242539,0.001717768,0.003608846,0.00004793256,0.00002676259,0.00004343359,0.030842],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6447592,"threshold_uncertainty_score":0.9998338,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01653119719592947,"score_gpt":0.2586260891202764,"score_spread":0.2420948919243469,"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."}}