{"id":"W2591930374","doi":"10.3138/cpp.2016-075","title":"Transnational R&amp;D Centers and National Innovation Systems in Host Countries: Empirical Evidence from China","year":2017,"lang":"en","type":"article","venue":"Canadian Public Policy","topic":"Innovation and Knowledge Management","field":"Business, Management and Accounting","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"China; Embedding; Globalization; Host (biology); Government (linguistics); Political science; Biology; Computer science; Ecology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.0006428874,0.0001474123,0.0001431207,0.002031424,0.0005521813,0.00185398,0.0003812361,0.0000834966,0.0001347173],"category_scores_gemma":[0.001193947,0.0001589856,0.00001962002,0.0008633486,0.0001172637,0.002021212,0.00007199236,0.0001283411,0.00008013331],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005625944,"about_ca_system_score_gemma":0.0009991823,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.1416192,"about_ca_topic_score_gemma":0.2673255,"domain_scores_codex":[0.9986687,0.00001218292,0.0003400927,0.0002808575,0.0003448707,0.0003533382],"domain_scores_gemma":[0.9989353,0.00003090847,0.000215608,0.0002353203,0.0005373296,0.00004547903],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.00000436372,0.00001069639,0.1227774,0.00003733979,0.0000119506,0.000002415407,0.00007158381,0.000001620881,0.00001009214,0.8683813,0.008331654,0.0003596388],"study_design_scores_gemma":[0.0003893018,0.000001570947,0.5599319,0.0000389049,0.000003543772,7.343498e-7,0.00005772816,0.00162085,3.959076e-7,0.003665607,0.4341325,0.0001568922],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5178895,0.00007995901,0.0001597274,0.3136558,0.0008921764,0.0004977891,0.0001211539,0.00006090123,0.166643],"genre_scores_gemma":[0.9910557,0.00000500046,0.00002331238,0.006874713,0.001178868,0.0000359818,0.0002057227,0.00001499351,0.0006057149],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8647156,"threshold_uncertainty_score":0.9991822,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09156302951196751,"score_gpt":0.3117755123392411,"score_spread":0.2202124828272736,"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."}}