{"id":"W2555153269","doi":"10.1111/capa.12194","title":"Preparing to lead: Mayoral transition planning in Canadian cities","year":2016,"lang":"en","type":"article","venue":"Canadian Public Administration","topic":"Political Systems and Governance","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Transition (genetics); Local government; Function (biology); Government (linguistics); Public administration; Political science; Public relations; Business; Chemistry","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004288267,0.00007418865,0.00008906668,0.0002256471,0.0003043407,0.0001615476,0.000136432,0.0001098201,0.0001386896],"category_scores_gemma":[0.0003713198,0.00007133718,0.00002170863,0.0002408758,0.00007266593,0.0004642487,0.0000026482,0.00005285963,0.00005395028],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001944975,"about_ca_system_score_gemma":0.006200553,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9771665,"about_ca_topic_score_gemma":0.9999079,"domain_scores_codex":[0.9986066,0.00007125611,0.0001732505,0.0001843388,0.0001738558,0.000790655],"domain_scores_gemma":[0.9983114,0.00003633286,0.00002796096,0.00009608961,0.00004889589,0.001479296],"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":[0.00000399953,0.00000450319,0.0267588,0.000005471511,0.00000319494,0.00003283008,0.002822388,9.619208e-7,0.0000294294,0.9595976,0.005747994,0.004992753],"study_design_scores_gemma":[0.0001067645,0.00003499153,0.0290236,0.00007142119,0.000001295662,0.000002445614,0.0009071809,0.00001798424,0.00002201398,0.0009500635,0.9687094,0.0001528099],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6924909,0.00002855486,0.0003306778,0.1656878,0.0003573351,0.0003676621,0.0001682669,0.00004081921,0.1405279],"genre_scores_gemma":[0.9961136,0.000001398884,0.00003240255,0.001032342,0.0002472874,0.00003159348,0.000009311724,0.000006903011,0.002525136],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9629614,"threshold_uncertainty_score":0.9994333,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03431721853596065,"score_gpt":0.2986503569403217,"score_spread":0.2643331384043611,"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."}}