{"id":"W7048598858","doi":"","title":"The location of IT-led new economy jobs in cities: Office parks or cool neighborhoods?","year":2017,"lang":"en","type":"other","venue":"","topic":"Magnetic confinement fusion research","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"New economy; Focus (optics); Econometric model; Central city; Econometric analysis; Urban economics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0002713527,0.0001185361,0.0002112306,0.0009622611,0.001505029,0.002157373,0.0005455303,0.0002938258,0.003922503],"category_scores_gemma":[0.001787314,0.0001122565,0.0001847301,0.002414995,0.001652705,0.0008720339,0.001478103,0.0004944741,0.0003613356],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002442577,"about_ca_system_score_gemma":0.003066018,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.4147907,"about_ca_topic_score_gemma":0.723418,"domain_scores_codex":[0.9996573,0.00005184293,0.000009972799,0.00004448873,0.00006832501,0.0001680634],"domain_scores_gemma":[0.9985916,0.0001748916,0.0004960448,0.00007216508,0.0003173832,0.0003479092],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00009358037,0.00004812903,0.9814017,0.00004386078,0.00002533719,0.000125235,0.003081889,0.0002946678,0.0001607939,0.002132459,0.001621687,0.01097062],"study_design_scores_gemma":[0.000004237184,0.00001660349,0.9756713,0.00005728164,0.00001639033,0.00005366148,0.02082287,0.0002650816,0.0001088572,0.000470345,0.002502952,0.00001052048],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"other","genre_scores_codex":[0.9952012,0.0002717851,0.000114117,0.000541059,0.000008360646,0.000004609145,0.0004421536,0.000004308719,0.003412413],"genre_scores_gemma":[0.998998,0.000134805,0.00005661476,0.00001777076,0.000004976203,0.00000307203,0.0001368542,0.000002406119,0.0006454183],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.4147907,"threshold_uncertainty_score":0.8247528,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01599902789219494,"score_gpt":0.2842561960282666,"score_spread":0.2682571681360717,"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."}}