{"id":"W1964380718","doi":"10.1109/itmc.2011.5995937","title":"A research on the mechanism of building total innovation management system via information and communication technology: Case studies in the context of China","year":2011,"lang":"en","type":"article","venue":"","topic":"Innovation and Knowledge Management","field":"Business, Management and Accounting","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Social Science Fund of China; International Development Research Centre; National Science Foundation","keywords":"Knowledge management; Leverage (statistics); Information and Communications Technology; Context (archaeology); Information system; Empirical research; Innovation management; Management information systems; Computer science; Information sharing; Information management; Information technology; Business; Process management; Engineering; World Wide Web","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003472985,0.0003080572,0.0003118761,0.001859858,0.003826544,0.003282807,0.001248873,0.00126407,0.00239488],"category_scores_gemma":[0.003624195,0.000232587,0.0005429296,0.002495826,0.002772583,0.004858579,0.001969705,0.0008117101,0.0001377823],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006014698,"about_ca_system_score_gemma":0.005427623,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0283003,"about_ca_topic_score_gemma":0.03010941,"domain_scores_codex":[0.9978733,0.001124705,0.00008570212,0.0001528469,0.0002787088,0.0004847601],"domain_scores_gemma":[0.9976733,0.00128245,0.0003307842,0.0002329778,0.0002772956,0.0002031022],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"qualitative","study_design_scores_codex":[0.0003439061,0.001310238,0.2835671,0.001152577,0.0002106212,0.02213003,0.233224,0.01399336,0.009443021,0.2957574,0.002923095,0.1359448],"study_design_scores_gemma":[0.0003645494,0.001844332,0.26812,0.0009755249,0.0005959045,0.005597846,0.468851,0.102324,0.01861638,0.05184657,0.08061242,0.0002514971],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9851972,0.0002259627,0.001854684,0.000498963,0.000004912394,0.00009340031,0.0000162517,0.000009487825,0.01209907],"genre_scores_gemma":[0.9976337,0.0001905811,0.001179748,0.00002630339,0.000002056417,0.00002559739,0.000009002056,0.000001906102,0.0009311093],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0283003,"threshold_uncertainty_score":0.05627114,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09648836309621549,"score_gpt":0.3218499522906934,"score_spread":0.2253615891944779,"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."}}