{"id":"W4379165231","doi":"10.1007/978-3-031-31746-0","title":"Intelligence for Future Cities","year":2023,"lang":"en","type":"book","venue":"The urban book series","topic":"Smart Cities and Technologies","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University","funders":"","keywords":"Geography","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00008575995,0.0004234544,0.0003761034,0.000130887,0.0002018122,0.0001097022,0.0006137614,0.0004705505,0.00007374974],"category_scores_gemma":[0.00001156513,0.0003379338,0.0002108681,0.00007760555,0.0003419733,0.0001412668,0.0001424351,0.0004193562,0.0001587049],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001171856,"about_ca_system_score_gemma":0.00007324362,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002616933,"about_ca_topic_score_gemma":0.0001726224,"domain_scores_codex":[0.9988773,0.00000584284,0.0002940346,0.0002491168,0.0001720631,0.0004016529],"domain_scores_gemma":[0.9990844,0.0001508332,0.00005912215,0.0006166373,0.00005675989,0.00003222785],"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":[0.00001187533,0.000001153796,0.000003413242,0.0004063843,0.0001423836,0.000006068204,0.0006058086,0.0001633,0.000002817951,0.08163063,0.9134493,0.003576855],"study_design_scores_gemma":[0.00003454041,0.00007031425,0.000007162194,0.0001140143,0.00004012325,0.000008776875,0.001729214,0.00008587504,0.0001976441,0.04267387,0.9546512,0.0003873019],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.00009362886,0.07659667,0.004380691,0.001940328,0.01672173,0.002704538,0.00141636,0.01461777,0.8815283],"genre_scores_gemma":[0.0001527649,0.006829829,0.0001616301,0.0001312336,0.002287854,0.0003542899,0.0001279228,0.0002169617,0.9897375],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1082092,"threshold_uncertainty_score":0.9999073,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01464217046340232,"score_gpt":0.1992862389087862,"score_spread":0.1846440684453839,"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."}}