{"id":"W1807961962","doi":"10.3968/j.css.1923669720141001.2740","title":"An Empirical Study on the Evolution of Employment Structure of Transport, Storage and Post Industry of Beijing During Economic Transition in China","year":2014,"lang":"en","type":"article","venue":"Canadian social science","topic":"Urban and Freight Transport Logistics","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Beijing; China; Business; Empirical research; Transition (genetics); Industry of China; Industrial organization; Economic geography; Economic system; Economics; Political science; Chemistry","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":[0.0003380508,0.0001982065,0.0002073293,0.001144199,0.0007102303,0.0006124101,0.0004217316,0.0002748103,0.001621649],"category_scores_gemma":[0.0007619805,0.0001663024,0.0002477475,0.002333709,0.0004326944,0.0005714913,0.0007473718,0.000264296,0.0001730887],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002234552,"about_ca_system_score_gemma":0.001521133,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1330675,"about_ca_topic_score_gemma":0.2190337,"domain_scores_codex":[0.9997103,0.00003476826,0.00002607193,0.00004820664,0.00006035734,0.0001203132],"domain_scores_gemma":[0.9994689,0.00004969268,0.000146977,0.00002703605,0.000113605,0.0001939105],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003780306,0.00003409653,0.9910871,0.00001628653,0.00002413745,0.0002346262,0.003002435,0.0002477255,0.0006163505,0.0002166439,0.0002095364,0.004273113],"study_design_scores_gemma":[7.917562e-7,0.000009541358,0.9977251,0.000002326375,0.000003114667,0.00001363166,0.001782761,0.0002154161,0.00004303788,0.00001144829,0.0001906725,0.000002156627],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9995266,0.00002658239,0.00001807593,0.00003070792,7.745818e-7,0.000002659698,0.00009842451,0.000001028176,0.0002950676],"genre_scores_gemma":[0.9994009,0.00003472748,0.00001950548,0.000005705021,9.348232e-7,0.000003879297,0.0001580884,6.275567e-7,0.0003756326],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1330675,"threshold_uncertainty_score":0.264586,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01083547293086338,"score_gpt":0.2124702929430692,"score_spread":0.2016348200122058,"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."}}