{"id":"W7010389463","doi":"","title":"Inclusion and Gentrification in the Smart City (Face au Future ep1)","year":2019,"lang":"en","type":"other","venue":"Bulletin of Miscellaneous Information (Royal Gardens Kew)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Gentrification; Placemaking; Inclusion (mineral); Face (sociological concept); Smart city; Silicon valley","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009457452,0.0001919423,0.0001543311,0.0005007648,0.01080679,0.006490271,0.0004150366,0.001812333,0.03162318],"category_scores_gemma":[0.001421299,0.0001522501,0.000214379,0.0004928986,0.004699773,0.003650835,0.007503049,0.002647365,0.005182748],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004130136,"about_ca_system_score_gemma":0.002021033,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04079572,"about_ca_topic_score_gemma":0.1272233,"domain_scores_codex":[0.9989999,0.0003510826,0.00001193273,0.00007383506,0.0002114223,0.0003518948],"domain_scores_gemma":[0.9993914,0.0001049297,0.00002513093,0.00004431914,0.00008327371,0.0003509045],"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":[0.00003286896,0.00006052017,0.001481189,0.00006813641,0.0000044301,0.0006056488,0.1129313,0.00006343203,0.0004420841,0.2268329,0.5732171,0.08426036],"study_design_scores_gemma":[0.000001449037,0.000008049558,0.001123205,0.00003152759,9.482306e-7,0.0001133464,0.01697154,0.00001754293,0.00007393686,0.002756353,0.9788955,0.000006592264],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.05766227,0.002904477,0.001291611,0.0495452,0.002779821,0.00002969177,0.000173121,0.0002539591,0.8853598],"genre_scores_gemma":[0.365117,0.001468328,0.0009758999,0.01469876,0.0005542956,0.00004674243,0.0001409573,0.0003185142,0.6166796],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.04079572,"threshold_uncertainty_score":0.1057901,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006444428150250953,"score_gpt":0.1939536121073946,"score_spread":0.1875091839571437,"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."}}