{"id":"W4381111147","doi":"10.2139/ssrn.4475467","title":"Labor Exposure to Climate Change and Capital Deepening","year":2023,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Climate Change and Health Impacts","field":"Environmental Science","cited_by":3,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Labour economics; Climate change; Economics; Capital deepening; Capital (architecture); Business; Capital formation; Market economy; Financial capital; Human capital; Geography","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":[],"consensus_categories":[],"category_scores_codex":[0.000597693,0.0001403739,0.0002275219,0.0004850999,0.0003459698,0.001263579,0.0002566284,0.00100757,0.009596722],"category_scores_gemma":[0.003277125,0.0001363691,0.0004380124,0.0008808605,0.0004489271,0.0005027856,0.0008646605,0.0007154124,0.0005737276],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005415357,"about_ca_system_score_gemma":0.000626327,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02422949,"about_ca_topic_score_gemma":0.02416812,"domain_scores_codex":[0.9996566,0.0001062361,0.00001762023,0.00003753025,0.0000282044,0.0001537994],"domain_scores_gemma":[0.9959369,0.001573418,0.001341109,0.0001278167,0.0001436059,0.0008770719],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003765763,0.0003162032,0.9846106,0.00005129571,0.0001933144,0.0003985796,0.0006357732,0.001754026,0.0002961437,0.003028307,0.001139547,0.007199595],"study_design_scores_gemma":[0.00001023379,0.0001336928,0.9922077,0.00002751133,0.00006609728,0.00008629035,0.002153856,0.0006815165,0.0001513754,0.002560718,0.001910264,0.00001080438],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9893856,0.00136654,0.0001180418,0.002530291,0.00004388169,0.000006287108,0.000597376,0.000005941908,0.005945976],"genre_scores_gemma":[0.9968358,0.0005413412,0.00001961587,0.0001041612,0.00004432464,0.000003562863,0.0002219432,0.00000165305,0.00222758],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02422949,"threshold_uncertainty_score":0.04817694,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03441415085224878,"score_gpt":0.2900363232960658,"score_spread":0.255622172443817,"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."}}