{"id":"W4303431367","doi":"10.7202/1092249ar","title":"Ping times: Relating economic growth to internet connectivity","year":2022,"lang":"en","type":"article","venue":"Canadian Journal of Regional Science","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"The Internet; Sine qua non; Business; Internet access; Telecommunications; Economics; Computer science; Political 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001754944,0.0007169525,0.0003447973,0.006920872,0.0004139401,0.001603481,0.000801501,0.0008231885,0.003860839],"category_scores_gemma":[0.02361625,0.0002154055,0.0004665533,0.01210592,0.0009131099,0.002158724,0.001288541,0.001187254,0.001092247],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009241082,"about_ca_system_score_gemma":0.0005362759,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0276878,"about_ca_topic_score_gemma":0.01441499,"domain_scores_codex":[0.9989339,0.0003521052,0.00008030746,0.0001498582,0.0003263768,0.000157567],"domain_scores_gemma":[0.9735995,0.01495202,0.006745534,0.0009282507,0.002525806,0.001248837],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001733621,0.00007290424,0.9372079,0.00009183673,0.0002076936,0.0002267205,0.0004438224,0.02792959,0.0001727637,0.005696033,0.007099832,0.0206776],"study_design_scores_gemma":[0.0000289426,0.000182527,0.8833907,0.00006872717,0.0001337021,0.0003869642,0.001907904,0.08228887,0.0009778908,0.01339707,0.01715147,0.00008530052],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9504222,0.001814288,0.01351441,0.001696875,0.0001421956,0.00007616184,0.0158314,0.0004015322,0.01610092],"genre_scores_gemma":[0.9908008,0.0006983287,0.0018228,0.00004914633,0.00009778893,0.0000665265,0.004447111,0.00007521822,0.001942224],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0276878,"threshold_uncertainty_score":0.05505323,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03102016836795008,"score_gpt":0.2072741403015203,"score_spread":0.1762539719335703,"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."}}