{"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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0003671141,0.0001380341,0.0002748468,0.00009028089,0.0000827883,0.000008969475,0.00006661777,0.00009521758,0.8118028],"category_scores_gemma":[0.002655023,0.000159653,0.00003545904,0.0005341427,0.00002687812,0.00020177,0.00034362,0.0002048377,0.0002934187],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003205849,"about_ca_system_score_gemma":0.0000887168,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006534331,"about_ca_topic_score_gemma":0.002589759,"domain_scores_codex":[0.9979234,0.000496739,0.0003759385,0.0005007368,0.000387473,0.0003157436],"domain_scores_gemma":[0.9984182,0.000861309,0.000252578,0.0002104621,0.00002986475,0.0002275529],"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":[0.0002273019,0.002701896,0.07082557,0.001297354,0.0001113946,0.0001397869,0.026262,0.004344621,0.003721558,0.00009324156,0.6389164,0.2513589],"study_design_scores_gemma":[0.0001816645,0.0001544933,0.9957095,0.0008378745,0.000002410673,0.000003320542,0.00009789225,0.0005766991,0.000614295,0.00003651267,0.001648157,0.0001371809],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.1285035,0.0000042846,0.00001764733,0.0001583976,0.00001350397,0.0005247407,0.870055,0.00001110273,0.0007117864],"genre_scores_gemma":[0.88441,0.000001519725,0.001528166,0.0004912823,0.00002087622,0.0004054527,0.1131256,0.00001269717,0.000004390373],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.924884,"threshold_uncertainty_score":0.6510463,"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."}}