{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004319204,0.0001856802,0.0001959826,0.0009668266,0.0004716145,0.000896127,0.0002355943,0.000228697,0.002157218],"category_scores_gemma":[0.001466178,0.0001613992,0.0002695789,0.002071553,0.0004084654,0.000409686,0.0007658996,0.0002192977,0.0002305599],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001215497,"about_ca_system_score_gemma":0.000576222,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.09632207,"about_ca_topic_score_gemma":0.1536718,"domain_scores_codex":[0.9996561,0.0000996263,0.00003003149,0.00005570251,0.00005420965,0.0001043903],"domain_scores_gemma":[0.998318,0.0003008885,0.0007471619,0.00007325055,0.0002423767,0.0003183695],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00005933292,0.00004305938,0.9949615,0.00001617962,0.0000255595,0.0002113805,0.001187274,0.0004278767,0.0002221526,0.0002006127,0.000180903,0.002464205],"study_design_scores_gemma":[0.000003723133,0.00004138642,0.9954235,0.000005586351,0.00001637788,0.00004622733,0.003425245,0.0006515097,0.00006706381,0.00004743705,0.0002645806,0.000007287991],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9996823,0.00003605939,0.00002530916,0.00001712706,4.915131e-7,0.000001120357,0.00005707115,8.2026e-7,0.0001796967],"genre_scores_gemma":[0.9996458,0.00003260637,0.00002269137,0.00000362168,6.070701e-7,0.000001140561,0.00009135166,3.946749e-7,0.000201713],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09632207,"threshold_uncertainty_score":0.1915228,"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."}}