{"id":"W2375687810","doi":"","title":"An Empirical Study on International Market Forces of China's Iron and Steel Industry","year":2014,"lang":"en","type":"article","venue":"International Business Research","topic":"Global trade and economics","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"China; International market; International trade; Economics; People's Republic; Domestic market; International economics; Business; Market economy","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":[0.0007385454,0.0002360309,0.0002186947,0.001773477,0.0004082815,0.0008699289,0.000261153,0.0003321512,0.003626334],"category_scores_gemma":[0.002562884,0.0001357575,0.0003178125,0.002167616,0.0004039349,0.001128737,0.0003339228,0.0005225467,0.0001999848],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001029663,"about_ca_system_score_gemma":0.0008479822,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02695798,"about_ca_topic_score_gemma":0.02941469,"domain_scores_codex":[0.9997153,0.000045007,0.00001396831,0.00003715729,0.00009324414,0.00009537474],"domain_scores_gemma":[0.9976675,0.0008860233,0.0008189805,0.00009454655,0.0002595295,0.0002734791],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00006653487,0.0001193959,0.9702803,0.00005256008,0.00009103522,0.000410751,0.001178995,0.00442652,0.0004301525,0.006415641,0.001601159,0.01492701],"study_design_scores_gemma":[0.00001321868,0.00007425137,0.979353,0.00002067754,0.00002822377,0.0000802521,0.002130298,0.01358321,0.0002911862,0.0007599117,0.003652033,0.00001380693],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.994961,0.0001821832,0.0002597344,0.0001759604,0.000003433936,0.00001137174,0.0002382355,0.000005955793,0.004162079],"genre_scores_gemma":[0.9987113,0.0001450635,0.00007275672,0.0000184269,0.000007288141,0.000004996943,0.0003545668,0.000001242738,0.0006843912],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02695798,"threshold_uncertainty_score":0.05360216,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1312572188017561,"score_gpt":0.3685935872331132,"score_spread":0.2373363684313571,"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."}}