{"id":"W3100239425","doi":"10.3390/smartcities3040064","title":"When Design Fiction Meets Geospatial Sciences to Create a More Inclusive Smart City","year":2020,"lang":"en","type":"article","venue":"Smart Cities","topic":"Smart Cities and Technologies","field":"Engineering","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval","funders":"","keywords":"Smart city; Sociology; Architectural engineering; Inclusion (mineral); Originality; Computer science; Engineering; Social science; Internet privacy","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006863785,0.001090692,0.0004931594,0.002265828,0.005651277,0.01159122,0.001143185,0.00376249,0.01082047],"category_scores_gemma":[0.01121981,0.0003191284,0.0007209734,0.001321445,0.02541989,0.01221739,0.00948794,0.004206966,0.001742372],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004054515,"about_ca_system_score_gemma":0.002517028,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001134775,"about_ca_topic_score_gemma":0.001506853,"domain_scores_codex":[0.993727,0.004597118,0.000175219,0.0003446284,0.0008349416,0.0003212001],"domain_scores_gemma":[0.9928388,0.005274553,0.0002349593,0.0009617169,0.0003745885,0.0003154603],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"qualitative","study_design_scores_codex":[0.00001873182,0.00003933197,0.0002414228,0.0003284222,0.00000898893,0.0003954966,0.04767491,0.001006497,0.0006978669,0.9078344,0.01215559,0.02959832],"study_design_scores_gemma":[0.00002260324,0.0000705253,0.0001740592,0.0003659249,0.00001600804,0.0005102554,0.01399348,0.001037553,0.0009692726,0.2295181,0.7532926,0.00002957417],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.05140708,0.00947299,0.2068691,0.08676623,0.006522512,0.000531131,0.0001701837,0.0007615331,0.6374993],"genre_scores_gemma":[0.76551,0.006476405,0.1175634,0.01247041,0.00138795,0.001077725,0.0002540547,0.0005903631,0.09466977],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01159122,"threshold_uncertainty_score":0.03629959,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03306538047415633,"score_gpt":0.2362197870219833,"score_spread":0.203154406547827,"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."}}