{"id":"W7164905638","doi":"10.1080/17153379.2016.12557608","title":"Forging China’s Military Might: A New Framework for Assessing Innovation.","year":2016,"lang":"en","type":"article","venue":"Pacific Affairs","topic":"Defense, Military, and Policy Studies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Forging","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":[],"consensus_categories":[],"category_scores_codex":[0.0004444782,0.000218002,0.0004075234,0.0003430004,0.000270039,0.00003781536,0.0001848323,0.0001341229,0.0001627496],"category_scores_gemma":[0.0008128019,0.0001887938,0.000151448,0.0004603642,0.00009462726,0.0003702732,0.00004889499,0.0001072693,0.0003272249],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000106566,"about_ca_system_score_gemma":0.00004122034,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001762297,"about_ca_topic_score_gemma":0.00002582898,"domain_scores_codex":[0.9983682,0.00001067624,0.0006310235,0.0004727743,0.00004287986,0.0004744712],"domain_scores_gemma":[0.9990367,0.0002612064,0.0001916934,0.0003917757,0.00003671801,0.00008191736],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00002945496,0.0000476853,0.01222075,0.00006013833,0.0001181464,0.000001599331,0.005039446,0.000004839163,0.00002346794,0.9212583,0.04516817,0.01602796],"study_design_scores_gemma":[0.0007295917,0.00006441143,0.01039869,0.0001213138,0.00001117158,0.000003232426,0.009248483,0.0001087827,0.00005922104,0.7728976,0.2058758,0.0004816417],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.01997071,0.01493779,0.4311616,0.01609492,0.00272877,0.0007238043,0.0005057589,0.0002566804,0.51362],"genre_scores_gemma":[0.9708699,0.000283697,0.02165695,0.00008940495,0.0006755595,0.00004832552,0.00001429581,0.00004278203,0.006319101],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9508992,"threshold_uncertainty_score":0.7698787,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04534412974128657,"score_gpt":0.2674181185972038,"score_spread":0.2220739888559173,"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."}}