{"id":"W1932494213","doi":"10.3968/j.sss.1923018420110202.7z182","title":"On the Soft Power of Sci-tech Culture and Paths to Improve It","year":2011,"lang":"en","type":"article","venue":"Studies in sociology of science","topic":"Research, Science, and Academia","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Soft power; Competition (biology); Globalization; High tech; China; Power (physics); Hard power; Business; Political science; Economic system; Economics; Market economy; Law","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.005360161,0.0004335367,0.0002261422,0.002603136,0.0034266,0.009597075,0.0005696166,0.002180765,0.008076885],"category_scores_gemma":[0.007699854,0.0001588689,0.0003050504,0.002600126,0.01739301,0.009502057,0.006782199,0.003358913,0.0007351818],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003949676,"about_ca_system_score_gemma":0.01127162,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001261945,"about_ca_topic_score_gemma":0.002221281,"domain_scores_codex":[0.9947148,0.003027935,0.0001734988,0.0002926923,0.001057949,0.0007330674],"domain_scores_gemma":[0.9899641,0.004379657,0.001012938,0.0004126219,0.001567352,0.00266339],"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":[0.00002944859,0.00008744304,0.002045059,0.000216538,0.00001542843,0.0001157019,0.004777366,0.0004661236,0.0002351305,0.9403144,0.005973112,0.04572418],"study_design_scores_gemma":[0.00004436276,0.0001262674,0.003783091,0.0007991479,0.00002058402,0.0001259656,0.01868386,0.0008106736,0.0006252642,0.8230855,0.1518585,0.00003670101],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.08902974,0.01647063,0.0215421,0.2462481,0.001015483,0.0001993726,0.00007774568,0.00007133746,0.6253456],"genre_scores_gemma":[0.9590329,0.01175007,0.008901911,0.00660379,0.0002214929,0.0001098759,0.00002298802,0.00002222501,0.01333473],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9965734,"threshold_uncertainty_score":0.02865702,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.229909681879007,"score_gpt":0.4813691574898643,"score_spread":0.2514594756108574,"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."}}