{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001519723,0.0002387661,0.0002588439,0.0001471848,0.0003300855,0.0001253273,0.0003523582,0.000118391,0.0001807763],"category_scores_gemma":[0.0001530571,0.0002289942,0.00007114651,0.0003243698,0.0002291465,0.0002447063,0.0002360847,0.0001724145,0.00005995948],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007934734,"about_ca_system_score_gemma":0.00004085549,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003322919,"about_ca_topic_score_gemma":0.00009172309,"domain_scores_codex":[0.9987395,0.00002651571,0.000228573,0.0002997818,0.0002927406,0.0004128364],"domain_scores_gemma":[0.9995106,0.00009862983,0.00003094821,0.0001858329,0.00005499099,0.0001189641],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003412382,0.000081456,0.04839732,0.0005970289,0.000584322,0.0001518939,0.07127961,0.1723738,0.008600634,0.01145902,0.6578515,0.02828221],"study_design_scores_gemma":[0.002280345,0.003105695,0.03231037,0.0004703881,0.0002301263,0.00006004283,0.04836958,0.1938862,0.1858426,0.01893175,0.5105561,0.003956771],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9161804,0.000592126,0.04989709,0.01326695,0.00124795,0.0007206079,0.00008700357,0.003452368,0.0145555],"genre_scores_gemma":[0.9919653,0.00006974898,0.00661359,0.0008307338,0.0002576574,0.00008978855,0.000007491212,0.00003103188,0.0001346937],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.177242,"threshold_uncertainty_score":0.9338115,"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."}}