{"id":"W2347937812","doi":"","title":"Discussion of Sustainable City in Terms of Circular Economy in Shanghai","year":2009,"lang":"en","type":"article","venue":"International Business Research","topic":"Value Engineering and Management","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Metropolitan area; Circular economy; Sustainable development; Contradiction; Resource (disambiguation); Business; Environmental pollution; Economy; Natural resource economics; Economic system; Economics; Environmental protection; Political science; Geography; Computer science","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":[0.0009410749,0.00007703487,0.0001495982,0.001460605,0.00002172595,0.00006291752,0.0003484319,0.00003772193,0.0001215653],"category_scores_gemma":[0.0002968435,0.00006246908,0.000032262,0.001087504,0.00003862817,0.0006664654,0.0002141708,0.0001356706,0.00001034079],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001108349,"about_ca_system_score_gemma":0.000019247,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001149841,"about_ca_topic_score_gemma":0.00003082576,"domain_scores_codex":[0.9989059,0.00001171173,0.0002880635,0.0001783063,0.0003676691,0.0002483299],"domain_scores_gemma":[0.9993789,0.00002606098,0.00007095526,0.0001560471,0.0003614148,0.00000666588],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000301543,0.001653015,0.5719839,0.002006804,0.00005676643,0.0003104947,0.0003256113,0.04576724,0.004152564,0.356165,0.002951947,0.01432516],"study_design_scores_gemma":[0.0007394254,0.000009003736,0.9316103,0.0002200046,0.000002307585,4.814068e-7,0.0002761378,0.006926732,0.000185016,0.03760939,0.02231125,0.0001099076],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8792766,0.00004202167,0.001076471,0.008201333,0.0001839207,0.0004477655,0.000001432516,0.00002431976,0.1107461],"genre_scores_gemma":[0.9986955,0.00001007994,0.0000436316,0.00005267112,0.0001424644,0.0000174433,0.00001677792,0.000007396179,0.001014058],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3596265,"threshold_uncertainty_score":0.2547415,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03211801252157353,"score_gpt":0.3074498083285681,"score_spread":0.2753317958069946,"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."}}