{"id":"W6958229288","doi":"10.6084/m9.figshare.14266749","title":"Additional file 3 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":[0.001078526,0.0008739812,0.0009641318,0.002072058,0.0008657112,0.001359337,0.001520615,0.000932191,0.8519607],"category_scores_gemma":[0.0213423,0.0004964186,0.000844815,0.004427535,0.0002450733,0.001716855,0.001048218,0.0007999913,0.1170727],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008738863,"about_ca_system_score_gemma":0.001423867,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02593525,"about_ca_topic_score_gemma":0.04074501,"domain_scores_codex":[0.9995199,0.0000980464,0.00008758266,0.000118857,0.0001013078,0.00007426695],"domain_scores_gemma":[0.9871104,0.009765483,0.0006552913,0.0005982192,0.001597678,0.0002730062],"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":[0.0001826924,0.00006774598,0.005013157,0.001803832,0.00005157195,0.0000747348,0.0001198662,0.0007134914,0.00005371474,0.001146776,0.9846892,0.006083291],"study_design_scores_gemma":[0.004183655,0.0001969371,0.06355198,0.003900514,0.0003289112,0.0005877349,0.001439731,0.003252066,0.0006607457,0.01821322,0.9034913,0.0001933728],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.0001984875,0.000008409881,0.0001562243,0.0000439677,0.000009150299,0.00004845131,0.9984608,0.0001013741,0.0009730773],"genre_scores_gemma":[0.01352201,0.0001233072,0.003404183,0.0003190867,0.00005419563,0.001919603,0.9684443,0.0006188919,0.01159449],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8519607,"threshold_uncertainty_score":0.2111601,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04346279285461604,"score_gpt":0.2702371114834133,"score_spread":0.2267743186287972,"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."}}