{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006239872,0.00008421016,0.0001035325,0.001639498,0.0001034343,0.0000950434,0.0002146911,0.00007902147,0.0003544626],"category_scores_gemma":[0.0001331467,0.00008493115,0.00001853811,0.001593901,0.000052286,0.0009502409,0.0002066497,0.0002053765,0.000045992],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006673282,"about_ca_system_score_gemma":0.00001147909,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004454301,"about_ca_topic_score_gemma":0.00007412751,"domain_scores_codex":[0.9987866,0.00001680143,0.0002292937,0.0002507043,0.0005649474,0.0001516492],"domain_scores_gemma":[0.9993189,0.00002197434,0.0001114346,0.0001424257,0.0003940973,0.00001117287],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0009936177,0.0006785757,0.7839393,0.0004283316,0.00104725,0.00001978341,0.002330494,0.03795413,0.106591,0.01121745,0.0002771734,0.05452293],"study_design_scores_gemma":[0.0001570808,0.000007330153,0.9857611,0.00003296111,0.00003697729,7.654714e-7,0.0003503392,0.002443428,0.00869134,0.001341378,0.001086492,0.00009080537],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9953483,0.000006524683,0.0006607061,0.001986859,0.000107914,0.0003703389,0.000008374528,0.00001736058,0.001493606],"genre_scores_gemma":[0.998612,0.000005109979,0.00009635839,0.000770133,0.0002363699,0.00007733499,0.0001097174,0.000009910564,0.00008304052],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2018218,"threshold_uncertainty_score":0.67336,"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."}}