{"id":"W4394933419","doi":"10.4337/9781800889156.00034","title":"Seeing like an urban service operator: making urban circulations of matter and energy legible in the digital age","year":2024,"lang":"en","type":"book-chapter","venue":"Edward Elgar Publishing eBooks","topic":"Smart Cities and Technologies","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institut National de la Recherche Scientifique","funders":"","keywords":"Operator (biology); Computer science; Chemistry","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","scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.0001993078,0.0003780267,0.0003684633,0.0004544959,0.00009114105,0.00266481,0.0006111298,0.0004574643,0.00003110711],"category_scores_gemma":[0.00001468796,0.0003290934,0.00009406602,0.00007746592,0.00008700934,0.0008246786,0.0002720872,0.0007872862,0.00001069957],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008628923,"about_ca_system_score_gemma":0.00003473162,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001108969,"about_ca_topic_score_gemma":0.0004420326,"domain_scores_codex":[0.9985816,0.00001120736,0.000414087,0.0003704025,0.0002952896,0.0003274085],"domain_scores_gemma":[0.9991569,0.00008417712,0.00006993743,0.0005913909,0.00005208573,0.00004548949],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001046142,0.00002251989,0.002218769,0.001551914,0.0005139299,0.0003811175,0.01727022,0.001157002,0.0002019454,0.8597654,0.1017474,0.01515931],"study_design_scores_gemma":[0.0001418798,0.00002533415,0.0002083216,0.0007405614,0.00005893267,0.00004809776,0.0008274972,0.001229448,0.00002945821,0.01175907,0.9843677,0.0005637627],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.005254539,0.001652707,0.00007372499,0.0002364518,0.0007397145,0.0001493732,0.0001034806,0.0006478919,0.9911421],"genre_scores_gemma":[0.9501503,0.00001659242,0.0001329644,0.0004687083,0.0004319833,0.00003314513,0.0001231238,0.0001857713,0.04845739],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.9448958,"threshold_uncertainty_score":0.9999161,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01550181476630632,"score_gpt":0.1976845431053207,"score_spread":0.1821827283390144,"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."}}