{"id":"W3124650566","doi":"10.1080/13691180802258746","title":"WIFI PUBLICS","year":2008,"lang":"en","type":"article","venue":"Information Communication & Society","topic":"Social Media and Politics","field":"Social Sciences","cited_by":44,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"Infrastructure Canada","keywords":"Publics; Public relations; Sociology; Democracy; The Internet; Community building; Public sphere; Geek; Online community; Social media; Alternative media; Community organization; Community network; Media studies; Political science; Politics; Law; World Wide Web; 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":"codex-gemma-dda1882f352a","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0003987532,0.00006090256,0.00007813873,0.00003374353,0.001694563,0.00009022435,0.0004229328,0.0001373427,0.0001448352],"category_scores_gemma":[0.0003900503,0.00006764432,0.0001033731,0.0004407025,0.0004895399,0.001773058,0.00005704367,0.0001841908,0.0003196405],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001646585,"about_ca_system_score_gemma":0.0003494996,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008256069,"about_ca_topic_score_gemma":0.00005088179,"domain_scores_codex":[0.9989918,0.0001399021,0.0002581556,0.00003840422,0.0003688253,0.000202896],"domain_scores_gemma":[0.9988008,0.000236912,0.0001513133,0.0003360588,0.0003650694,0.0001098883],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000001306692,0.00002305446,0.00403398,0.000005663383,0.00001468087,3.252855e-8,0.5676388,0.000005445399,0.000003156678,0.2739233,0.1504813,0.003869372],"study_design_scores_gemma":[0.0001480645,0.000003866893,0.002272449,0.000003853755,0.000003660475,7.491332e-7,0.059199,0.0001035211,0.00002230351,0.001801165,0.9363567,0.00008466031],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.2472224,0.0003283056,0.002387939,0.02499491,0.0006577317,0.0005443742,0.00002371087,0.0006853929,0.7231553],"genre_scores_gemma":[0.9883586,0.003256879,0.003485293,0.003822663,0.0001538442,0.00003190572,0.0001037052,0.000004437728,0.0007827128],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7858754,"threshold_uncertainty_score":0.9996051,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05891395215046659,"score_gpt":0.3254438395698661,"score_spread":0.2665298874193995,"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."}}