{"id":"W6920952054","doi":"10.6084/m9.figshare.14266743","title":"Additional file 1 of Geospatial indicators of exposure, sensitivity, and adaptive capacity to assess neighbourhood variation in vulnerability to climate change-related health hazards","year":2021,"lang":"en","type":"article","venue":"Figshare","topic":"Health, Environment, Cognitive Aging","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Vancouver Coastal Health; University of British Columbia","funders":"","keywords":"Neighbourhood (mathematics); Geospatial analysis; Vulnerability (computing); Variation (astronomy); Vulnerability assessment; Climate change; Adaptive capacity","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001206116,0.0008386824,0.0008834877,0.002050845,0.0008158945,0.001214245,0.001469068,0.0008645896,0.8332137],"category_scores_gemma":[0.02355239,0.0004871113,0.0007392699,0.004472684,0.0002413858,0.001645682,0.0009778091,0.000814492,0.1120857],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008064317,"about_ca_system_score_gemma":0.001486586,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02166431,"about_ca_topic_score_gemma":0.03419012,"domain_scores_codex":[0.999523,0.0001127235,0.00008107184,0.000119032,0.00009587232,0.00006827877],"domain_scores_gemma":[0.9844484,0.0121377,0.000726324,0.0006759039,0.001719985,0.0002917561],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.000150473,0.0000735627,0.004820189,0.001730656,0.00004406063,0.00006378907,0.0001193339,0.0007106349,0.00004583609,0.001173937,0.984515,0.006552534],"study_design_scores_gemma":[0.004280214,0.0002549902,0.0736703,0.004280938,0.0003259797,0.0006746326,0.001584403,0.003898785,0.0006887801,0.01904421,0.8910941,0.0002026173],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.0002280808,0.000009458753,0.000188833,0.00004473433,0.000008934357,0.00005420169,0.9984555,0.00008470322,0.0009256284],"genre_scores_gemma":[0.01537921,0.0001507555,0.004253349,0.0003230762,0.00005535527,0.002479122,0.96607,0.00054952,0.01073957],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8332137,"threshold_uncertainty_score":0.2379004,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04413825696440978,"score_gpt":0.2705874673946784,"score_spread":0.2264492104302686,"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."}}