{"id":"W2363492712","doi":"","title":"Influence Analysis of Value Chain Fragmentation and Environmental Protection Cost to Manufacturing Industry","year":2011,"lang":"en","type":"article","venue":"International Business Research","topic":"Service and Product Innovation","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Business; Fragmentation (computing); Value (mathematics); Industrial organization; Service (business); Value chain; Production (economics); Tertiary sector of the economy; Commerce; Value creation; Environmental economics; Risk analysis (engineering); Operations management; Marketing; Computer science; Economics; Supply chain; Microeconomics","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":[],"consensus_categories":[],"category_scores_codex":[0.0007827224,0.0003840013,0.0003285223,0.00277655,0.0006239524,0.001534138,0.000399726,0.0003038163,0.008790643],"category_scores_gemma":[0.007210508,0.0001900592,0.0008860721,0.002340058,0.0006518603,0.0008957487,0.0008556296,0.0004215182,0.0003493916],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002536621,"about_ca_system_score_gemma":0.001234728,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01310739,"about_ca_topic_score_gemma":0.01153031,"domain_scores_codex":[0.9985496,0.0003744987,0.00005179329,0.0001480237,0.0005921207,0.00028399],"domain_scores_gemma":[0.9905964,0.005871994,0.001073921,0.0003871497,0.001598822,0.0004717683],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000674727,0.0002376049,0.8765354,0.0002439187,0.0004429528,0.001127259,0.0008177593,0.04253856,0.002934615,0.01312048,0.001074815,0.06025195],"study_design_scores_gemma":[0.00002193238,0.0004548923,0.9234776,0.00008243791,0.0005608564,0.000435872,0.002403216,0.05910075,0.004145816,0.00427804,0.005000937,0.00003768254],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9798881,0.0004957011,0.003461023,0.000137352,0.00001338862,0.00006541195,0.0002040811,0.00002948359,0.01570539],"genre_scores_gemma":[0.998425,0.0001520414,0.0003486023,0.000005179954,0.000007271766,0.00001090065,0.0000792057,0.000004545983,0.0009672747],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01310739,"threshold_uncertainty_score":0.02940762,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07751541226739757,"score_gpt":0.3202914760954715,"score_spread":0.2427760638280739,"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."}}