{"id":"W13559849","doi":"","title":"Proceedings of the first workshop on Urban networking","year":2012,"lang":"en","type":"article","venue":"Les Annales d'oto-laryngologie","topic":"Smart Cities and Technologies","field":"Engineering","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Metropolitan area; Variety (cybernetics); Cover (algebra); Telecommunications; Pleasure; Geography; Library science; Political science; Engineering; Computer science; Psychology; Archaeology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002346775,0.0003261613,0.000335827,0.0001231791,0.0002099113,0.00004520947,0.0007249154,0.0003340839,0.0000616484],"category_scores_gemma":[0.0001948909,0.0002376771,0.0001932244,0.0004396311,0.000183175,0.0001977375,0.0003000168,0.0005103124,0.00005420095],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009058488,"about_ca_system_score_gemma":0.00000995176,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001057639,"about_ca_topic_score_gemma":0.00001804683,"domain_scores_codex":[0.9984212,0.000009691602,0.0003365379,0.0002296735,0.0002430879,0.000759807],"domain_scores_gemma":[0.999096,0.0002924089,0.0001092487,0.0003807463,0.00005526493,0.00006632817],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00008189625,0.0002470654,0.6737439,0.0006368957,0.0003800105,0.000009037621,0.002118296,0.003225396,0.001805022,0.01797793,0.2734632,0.02631133],"study_design_scores_gemma":[0.0005699879,0.0001964647,0.1968443,0.001179081,0.0001237864,0.00004120145,0.00382723,0.003921255,0.02533648,0.001307579,0.7654149,0.001237752],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.974929,0.004846612,0.00005880314,0.0007078392,0.001328259,0.000373884,0.00001505788,0.001196982,0.01654357],"genre_scores_gemma":[0.9977756,0.0008156545,0.0002467118,0.0001601053,0.000637514,0.00008806343,0.000005331548,0.00005821214,0.0002128455],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4919517,"threshold_uncertainty_score":0.969219,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02980905415754191,"score_gpt":0.2162613687146088,"score_spread":0.1864523145570669,"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."}}