{"id":"W7112409330","doi":"","title":"Race, Land and Climate Change: Equitable Resilience in California","year":2023,"lang":"en","type":"article","venue":"Digital Access to Scholarship at Harvard (DASH) (Harvard University)","topic":"Environmental Justice and Health Disparities","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Climate change; Resilience (materials science); Ecosystem services; Political economy of climate change; Greenhouse gas; Climate resilience; Convention on Biological Diversity; United Nations Framework Convention on Climate Change; Natural disaster","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0007812819,0.0002265051,0.0003057403,0.0006173524,0.001165669,0.0009595437,0.0008106295,0.000183098,0.000366826],"category_scores_gemma":[0.0002991402,0.0002655236,0.00006351207,0.001649722,0.0003042312,0.005625085,0.00154746,0.0003023605,0.004951121],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005235253,"about_ca_system_score_gemma":0.00008706797,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005919962,"about_ca_topic_score_gemma":0.009770564,"domain_scores_codex":[0.9972863,0.0001491721,0.0002410915,0.0005838181,0.0005435912,0.001195979],"domain_scores_gemma":[0.9987924,0.0002257844,0.00009415168,0.0002521049,0.00005142126,0.0005841876],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001584201,0.0000560428,0.990805,0.0001834201,0.00000870128,0.0001955934,0.001748016,0.00003496543,0.00002536326,0.003049308,0.0008167505,0.002918385],"study_design_scores_gemma":[0.0004943336,0.00004804868,0.5771315,0.000236571,0.00002060313,0.000001661543,0.003104316,0.00001513019,0.0000367737,0.0001903181,0.4183736,0.0003471162],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9614629,0.00004747938,0.0000068197,0.001116284,0.0001610251,0.0006169389,0.0004665777,0.0002082894,0.03591375],"genre_scores_gemma":[0.990325,0.00407597,0.00003027652,0.0009615609,0.0001228748,0.00001443087,0.00007470081,0.00002716904,0.004367997],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4175569,"threshold_uncertainty_score":0.9999797,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04935828438240022,"score_gpt":0.308355032036143,"score_spread":0.2589967476537428,"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."}}