{"id":"W7091266806","doi":"10.11575/prism/50653","title":"State of Our City 2024 Geospatial Edition","year":2024,"lang":"en","type":"other","venue":"Open MIND","topic":"Maternal and Perinatal Health Interventions","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Geospatial analysis; Plan (archaeology); State (computer science); Incentive; Key (lock); Urban planning","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":[0.001801831,0.001091015,0.0005401022,0.005947293,0.001429602,0.005656214,0.001612485,0.001177737,0.1393751],"category_scores_gemma":[0.008941288,0.000605791,0.0006038225,0.014607,0.0005379969,0.002202886,0.002936277,0.002033375,0.09825278],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005324061,"about_ca_system_score_gemma":0.01707144,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.3526648,"about_ca_topic_score_gemma":0.2526847,"domain_scores_codex":[0.9986505,0.000144477,0.0001350461,0.00009747894,0.0007678471,0.0002046685],"domain_scores_gemma":[0.994239,0.0004199264,0.0003981403,0.0004870553,0.00380655,0.0006493963],"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":[0.000007636686,0.000005614134,0.0003654599,0.00008329822,0.000002137773,0.000008227608,0.00002900709,0.00006082777,0.0000148381,0.001042348,0.9806249,0.01775574],"study_design_scores_gemma":[0.000002900188,0.000002076413,0.001960318,0.00006677397,0.000001559473,0.000007072158,0.00005425683,0.00003235152,0.00002203854,0.0001921265,0.9976525,0.000006038899],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.001403525,0.002833686,0.00163937,0.00865328,0.007609826,0.0003702185,0.6522384,0.003097207,0.3221545],"genre_scores_gemma":[0.009919724,0.005830235,0.006095213,0.002204681,0.001106469,0.001130091,0.5284328,0.001795354,0.4434855],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.3526648,"threshold_uncertainty_score":0.7012242,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06578223571532567,"score_gpt":0.4101417854987421,"score_spread":0.3443595497834164,"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."}}