{"id":"W4411212933","doi":"10.4324/9781003656135","title":"Metropolitan Government","year":2025,"lang":"en","type":"book","venue":"","topic":"Urban Planning and Governance","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Metropolitan area; Government (linguistics); Political science; Regional science; Geography; Philosophy; Archaeology; Linguistics","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":[0.0002561717,0.0006297649,0.0003129939,0.001700869,0.00200089,0.00402303,0.0005805552,0.001004056,0.09616445],"category_scores_gemma":[0.0009969006,0.0002214935,0.0002812725,0.003240266,0.0008841559,0.002338709,0.001965094,0.001461645,0.03468794],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004467799,"about_ca_system_score_gemma":0.002611462,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01693578,"about_ca_topic_score_gemma":0.03483057,"domain_scores_codex":[0.9996383,0.00006804488,0.00001554157,0.00007671182,0.0001528283,0.00004860755],"domain_scores_gemma":[0.999816,0.0000250185,0.00001362226,0.0000308328,0.00008665583,0.0000279174],"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":[0.00000649603,0.000004878692,0.00009915787,0.0001166538,0.000002628982,0.00006828748,0.0005547652,0.00008409168,0.00006584928,0.2680826,0.6771189,0.0537957],"study_design_scores_gemma":[3.075324e-7,7.563907e-7,0.00005217869,0.00002028041,3.575879e-7,0.00001379693,0.00003448916,0.00000632414,0.000009458677,0.001055979,0.9988055,5.15792e-7],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0006595846,0.008769576,0.0005396878,0.003695398,0.002935461,0.00002404287,0.001142122,0.0001695732,0.9820645],"genre_scores_gemma":[0.006521045,0.005560558,0.0004337314,0.000670115,0.0003229922,0.00002849196,0.0009003278,0.0001077364,0.985455],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.09616445,"threshold_uncertainty_score":0.3217021,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01444833945600828,"score_gpt":0.2789428498246299,"score_spread":0.2644945103686216,"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."}}