{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002869052,0.0003712369,0.0001300662,0.0003348141,0.001788582,0.006090038,0.0003064928,0.0007754981,0.03222385],"category_scores_gemma":[0.0006062932,0.0001339059,0.0001706676,0.0007204486,0.003265299,0.004919004,0.002046755,0.00121468,0.005310152],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001064032,"about_ca_system_score_gemma":0.001204608,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004808928,"about_ca_topic_score_gemma":0.01033264,"domain_scores_codex":[0.999863,0.00003828097,0.000002407142,0.00001842019,0.00004936113,0.0000285472],"domain_scores_gemma":[0.9998361,0.00006501615,0.00001152074,0.00001172063,0.00003318712,0.00004247929],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00007247897,0.00007342949,0.001138028,0.0002748921,0.000006479298,0.000429641,0.05093756,0.0006563487,0.004616517,0.4096653,0.2780101,0.2541193],"study_design_scores_gemma":[0.000003235261,0.00001943359,0.0006335028,0.0001011967,0.000004658811,0.0001179451,0.02231549,0.0003549722,0.0004730647,0.02483096,0.9511362,0.000009425465],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.03116348,0.006620497,0.01289689,0.02053813,0.001400384,0.00002842187,0.00008018215,0.000443575,0.9268284],"genre_scores_gemma":[0.2317495,0.008888467,0.004817432,0.003143721,0.0005655206,0.00003216391,0.0000767859,0.0003898967,0.7503365],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.03222385,"threshold_uncertainty_score":0.1077995,"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."}}