{"id":"W2136974086","doi":"10.22230/cjc.2008v33n3a2110","title":"Building Wi-Fi Networks for Communities: Three Canadian Cases","year":2008,"lang":"en","type":"article","venue":"Canadian Journal of Communication","topic":"Wireless Networks and Protocols","field":"Computer Science","cited_by":23,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University; York University","funders":"Infrastructure Canada; University of Toronto; York University; Government of Canada","keywords":"Landline; Telecommunications; Community radio; Position (finance); Order (exchange); Geography; Business; Political science; Public relations; Computer science; Finance","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007097735,0.0001281822,0.000222955,0.0003278086,0.00123112,0.0001957604,0.002455078,0.0001065572,0.00001919224],"category_scores_gemma":[0.00006639886,0.0001319645,0.0001087711,0.0003109919,0.0001427243,0.0005755608,0.000050339,0.0004024346,0.00000187974],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003209569,"about_ca_system_score_gemma":0.002520017,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.338496,"about_ca_topic_score_gemma":0.9340121,"domain_scores_codex":[0.9987997,0.0001665781,0.0004122175,0.00007674826,0.0001160088,0.0004287111],"domain_scores_gemma":[0.9970182,0.0004892903,0.0002982059,0.0009724215,0.0004481759,0.0007736886],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00006864271,0.00007548305,0.04370019,0.00005956738,0.0003129323,0.0005275368,0.01166653,0.1328482,0.0000150212,0.4252535,0.1409722,0.2445002],"study_design_scores_gemma":[0.00134769,0.0005168478,0.01530075,0.0007114608,0.00003256453,0.002791341,0.0003538283,0.2932337,0.00004199319,0.0176513,0.6673256,0.0006928749],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03303822,0.005958499,0.9495168,0.006452142,0.0006087796,0.002412858,0.00002599063,0.00003417618,0.001952503],"genre_scores_gemma":[0.961706,0.0001535662,0.03712291,0.0006990731,0.0001539865,0.0001190084,0.00000852316,0.00001542852,0.00002150274],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9286678,"threshold_uncertainty_score":0.9468901,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06260108275015507,"score_gpt":0.2757778075303878,"score_spread":0.2131767247802327,"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."}}