{"id":"W2136508498","doi":"10.22215/etd/2008-06464","title":"A brief history of the future of urban computing and locative media","year":2008,"lang":"en","type":"dissertation","venue":"","topic":"Geographic Information Systems Studies","field":"Social Sciences","cited_by":27,"is_retracted":false,"has_abstract":true,"ca_institutions":"Library and Archives Canada","funders":"","keywords":"Locative case; Computer science; Humanities; Political science; Art; Linguistics; Philosophy","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":[0.0002872341,0.00008467263,0.0002364806,0.0000847196,0.0001849652,0.000003130697,0.0001538853,0.0001400973,0.00002129905],"category_scores_gemma":[0.00009059162,0.00005967192,0.00007216219,0.0001946947,0.0004121465,0.00005914312,0.0000197033,0.0001018461,6.909767e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007652186,"about_ca_system_score_gemma":0.0003454809,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00478894,"about_ca_topic_score_gemma":0.01778611,"domain_scores_codex":[0.9990175,0.00007498566,0.0003260344,0.00007824779,0.0004110731,0.00009211253],"domain_scores_gemma":[0.9986817,0.0001183909,0.0006208756,0.00009471647,0.0004633376,0.00002100429],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.000004362068,0.000006965228,0.006813177,0.000144614,0.00004486471,7.234921e-8,0.9432887,3.525854e-7,0.000002753676,0.02779315,0.02045922,0.001441742],"study_design_scores_gemma":[0.000154975,0.00001105887,0.1312798,0.0002068859,0.0000299716,4.758308e-7,0.7194619,0.00000550225,0.00002333367,0.0001263067,0.1485679,0.0001319],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1838881,0.01403946,0.000009638416,0.0001750302,0.004423273,0.0005437137,0.000009697659,0.00003222637,0.7968789],"genre_scores_gemma":[0.9830703,0.0005299892,0.00004813323,0.00003524678,0.000186593,0.000003474672,0.00001430441,0.000004482971,0.01610743],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7991822,"threshold_uncertainty_score":0.9925067,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0121287033363115,"score_gpt":0.2518871256563391,"score_spread":0.2397584223200276,"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."}}