{"id":"W4391850271","doi":"10.1029/2023gh000935","title":"Identification of Neighborhood Hotspots via the Cumulative Hazard Index: Results From a Community‐Partnered Low‐Cost Sensor Deployment","year":2024,"lang":"en","type":"article","venue":"GeoHealth","topic":"Air Quality Monitoring and Forecasting","field":"Environmental Science","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Strathcona Community Hospital; University of British Columbia","funders":"Canada Research Chairs","keywords":"Software deployment; Index (typography); Identification (biology); Hazard; Computer science; Environmental science; Geography; Statistics; Mathematics; Ecology","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001650481,0.000141115,0.000168731,0.00003588707,0.000400371,0.00005747753,0.0002911746,0.00007168326,0.0000764759],"category_scores_gemma":[0.0001624952,0.0001069577,0.00006261934,0.0003374204,0.0001763837,0.0001462053,0.0001822061,0.0004449739,0.0002303786],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002422856,"about_ca_system_score_gemma":0.00003260305,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007163996,"about_ca_topic_score_gemma":0.0003361257,"domain_scores_codex":[0.9979005,0.0005139067,0.000597547,0.0002811689,0.0004170413,0.0002898748],"domain_scores_gemma":[0.9984326,0.0006364378,0.0002354136,0.0005827864,0.00001687574,0.00009591403],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.00113325,0.001401628,0.1522093,0.0005588501,0.0003929353,0.00002695875,0.1814335,0.06444992,0.03171302,0.0009467959,0.01122521,0.5545087],"study_design_scores_gemma":[0.0008258549,0.0001519833,0.7741894,0.0003376161,0.0000578832,0.000006172575,0.003291334,0.2065402,0.006323743,0.004904195,0.003023311,0.0003482755],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9896596,0.00006712455,0.00624836,0.001935803,0.0004707791,0.0004236885,0.000177694,0.0001090607,0.000907902],"genre_scores_gemma":[0.9990486,0.00001826497,0.0001100118,0.00008267877,0.0001297457,0.00002196606,0.00004351801,0.00001917627,0.0005260475],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6219801,"threshold_uncertainty_score":0.9994474,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05019381621090243,"score_gpt":0.3207820763172022,"score_spread":0.2705882601062998,"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."}}