{"id":"W1861390356","doi":"","title":"生產技術移轉模式、知識管理與技術移轉績效之關係研究 - 以中鋼公司製程資訊系統為例","year":2007,"lang":"zh","type":"dissertation","venue":"","topic":"Innovation and Knowledge Management","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Library science; Management; Competence (human resources); Political science; Humanities; Art; Economics; Computer science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.004490463,0.0006577762,0.0005813022,0.002744611,0.007798982,0.01590229,0.001392595,0.003444846,0.01723142],"category_scores_gemma":[0.008480655,0.0004579417,0.0007290203,0.003991255,0.01312006,0.01428409,0.00314455,0.004793217,0.003204926],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01363446,"about_ca_system_score_gemma":0.01808462,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03204317,"about_ca_topic_score_gemma":0.03815281,"domain_scores_codex":[0.9962334,0.001337406,0.0001900453,0.0006694031,0.001134383,0.0004353968],"domain_scores_gemma":[0.9962457,0.001435493,0.000320465,0.000219831,0.001320177,0.0004584329],"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":[0.00005669476,0.00008297744,0.004229437,0.0002876187,0.00003825356,0.0001998074,0.01675763,0.0006491853,0.0002993899,0.8656247,0.0530333,0.05874109],"study_design_scores_gemma":[0.00003643077,0.00006012518,0.006314428,0.0009664986,0.00006116638,0.0002370269,0.03006432,0.0008970667,0.001032689,0.3792867,0.5809842,0.00005929517],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.0305684,0.02491237,0.01364042,0.1124297,0.00167462,0.000138938,0.0005170006,0.0001412575,0.8159772],"genre_scores_gemma":[0.7750347,0.02170793,0.01801186,0.01136862,0.0009723267,0.0003389676,0.0005686469,0.0002122767,0.1717847],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.03204317,"threshold_uncertainty_score":0.09892541,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02047005403191884,"score_gpt":0.2886472018748607,"score_spread":0.2681771478429419,"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."}}