{"id":"W2000415809","doi":"10.5539/jsd.v2n2p155","title":"Study on the Composition of Regional Scientific and Technological Innovative Competence and its Upgrade Mechanism","year":2009,"lang":"en","type":"article","venue":"Journal of Sustainable Development","topic":"Research, Science, and Academia","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Upgrade; Competence (human resources); Technological change; Human capital; Economic system; Economics; Business; Economic geography; Industrial organization; Economic growth; Management; Computer science; Macroeconomics","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":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.002086795,0.0001372012,0.0003031069,0.002939781,0.0007961054,0.001976635,0.0003976588,0.0003695664,0.004156838],"category_scores_gemma":[0.006196589,0.0001539315,0.0005266989,0.001412884,0.001491386,0.00265688,0.001584645,0.0004316924,0.0002577089],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001975669,"about_ca_system_score_gemma":0.001290296,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002211586,"about_ca_topic_score_gemma":0.001164689,"domain_scores_codex":[0.9987889,0.000286396,0.00007490776,0.0002170664,0.0003773208,0.0002554136],"domain_scores_gemma":[0.9973179,0.0009301294,0.0005417527,0.0001577651,0.0006323442,0.0004200947],"domain_codex":null,"domain_gemma":"evaluation","domain_candidate":"evaluation","domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00038927,0.0002500428,0.3621685,0.0003845104,0.0002420257,0.0007328384,0.0122821,0.005132765,0.01524434,0.4409057,0.001668074,0.1605999],"study_design_scores_gemma":[0.00006560907,0.0003048742,0.8512337,0.0001919942,0.0002471516,0.001249781,0.01394719,0.01784403,0.00599027,0.08191922,0.02693155,0.00007466],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9469826,0.000569221,0.006638454,0.0007088328,0.00001878774,0.00005670167,0.00008142552,0.00002130905,0.04492278],"genre_scores_gemma":[0.997507,0.0001551063,0.001059761,0.00001806821,0.00001078887,0.0000135011,0.00002037919,0.000002712392,0.001212522],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9979132,"threshold_uncertainty_score":0.01433456,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1171268599572079,"score_gpt":0.3757688707336445,"score_spread":0.2586420107764366,"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."}}