{"id":"W2786745611","doi":"10.3390/su10020390","title":"Transportation Accessibility and Location Choice of Japanese-Funded Electronic Information Manufacturing Firms in Shanghai","year":2018,"lang":"en","type":"article","venue":"Sustainability","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":20,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Lethbridge","funders":"National Natural Science Foundation of China","keywords":"Business; Distribution (mathematics); Transport engineering; Globalization; Empirical research; Economic geography; Industrial organization; Geography; Economics; Engineering","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006592696,0.00009745191,0.0002707153,0.0002179625,0.00005736016,0.00003522294,0.0001144111,0.00008028144,0.00006687891],"category_scores_gemma":[0.0002760101,0.0001101738,0.0000498974,0.0002942742,0.0001220415,0.0008068796,0.00001567259,0.00008732658,0.000006921632],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000522339,"about_ca_system_score_gemma":0.0000723913,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01427478,"about_ca_topic_score_gemma":0.008042715,"domain_scores_codex":[0.998791,0.00001583461,0.0006942897,0.0002579044,0.00003042535,0.0002105923],"domain_scores_gemma":[0.9991405,0.00004745596,0.000307104,0.0002340725,0.0002324665,0.000038405],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00009678257,0.0001013274,0.9286073,0.0003969858,0.00003130875,1.657351e-7,0.003922281,0.000662688,0.000003758576,0.06106808,0.000009062331,0.00510025],"study_design_scores_gemma":[0.0003076246,0.0000612201,0.8725694,0.00000451897,0.000004152967,1.096018e-7,0.0004593681,0.006285858,0.0001557796,0.1194108,0.0006334657,0.0001077583],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.997154,0.00009885897,0.001233699,0.0007167753,0.00003318785,0.0002648991,0.00001944723,0.00001036645,0.0004687859],"genre_scores_gemma":[0.9997587,0.00003026551,0.00003284058,0.00004732608,0.00002630286,0.00002144075,0.00004226449,0.00000454669,0.00003626468],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0583427,"threshold_uncertainty_score":0.9922892,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01270261285560113,"score_gpt":0.2381992897682934,"score_spread":0.2254966769126923,"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."}}