{"id":"W4240714914","doi":"10.32920/ryerson.14638680","title":"Panel Title: Municipal Wireless Networks: Hot Spots for Mobile Business or Just Hot Air?","year":2021,"lang":"en","type":"preprint","venue":"","topic":"ICT Impact and Policies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University; York University; University of Toronto","funders":"Infrastructure Canada","keywords":"Software deployment; Telecommunications; Wireless; Business; Wireless network; Computer science","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"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":[0.001599365,0.0006867455,0.0007800552,0.0003391975,0.003152269,0.005490868,0.0008400325,0.006803293,0.1493853],"category_scores_gemma":[0.003943322,0.0003571144,0.0006424044,0.0007902748,0.0006363819,0.0029029,0.001361021,0.004280858,0.0593695],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001632724,"about_ca_system_score_gemma":0.001894198,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005201543,"about_ca_topic_score_gemma":0.009130507,"domain_scores_codex":[0.9995021,0.00007934887,0.00001697599,0.0001130032,0.0001815382,0.0001071181],"domain_scores_gemma":[0.9974801,0.0005439295,0.000085053,0.0001173771,0.001119581,0.0006540145],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00002447043,0.000008961395,0.0001291106,0.00003229425,0.000002054047,0.00002724687,0.0000417451,0.00004002453,0.000159828,0.001488406,0.9936068,0.004439143],"study_design_scores_gemma":[0.00001849592,0.00001452216,0.001215205,0.0001495198,0.000009678662,0.00003768274,0.000628312,0.0002565226,0.0003028458,0.002577368,0.994773,0.00001708621],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"other","genre_scores_codex":[0.007168887,0.004163019,0.005942876,0.4768123,0.08864243,0.0008074972,0.008962759,0.0005459065,0.4069543],"genre_scores_gemma":[0.06416965,0.007842028,0.00268407,0.08730103,0.03804871,0.0009425881,0.005699364,0.0008483908,0.7924641],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.1493853,"threshold_uncertainty_score":0.4997435,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05085359218074608,"score_gpt":0.2844729781476709,"score_spread":0.2336193859669248,"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."}}