{"id":"W4385515780","doi":"10.1126/science.adi2206","title":"Methods for assessing social and cultural losses","year":2023,"lang":"en","type":"article","venue":"Science","topic":"Environmental and Social Impact Assessments","field":"Environmental Science","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Damages; Compensation (psychology); Psychology; Political science; Social psychology; Law","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":[],"consensus_categories":[],"category_scores_codex":[0.000837444,0.00007423657,0.00007936128,0.00002589077,0.0009225945,0.0001787267,0.0001914658,0.00002708326,0.00009316483],"category_scores_gemma":[0.00009578162,0.00006046097,0.00002730452,0.000541937,0.001176917,0.0008995375,0.0002768967,0.00004487931,0.0000742549],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001265075,"about_ca_system_score_gemma":0.00001348942,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003412887,"about_ca_topic_score_gemma":0.000004582727,"domain_scores_codex":[0.9990724,0.00002949093,0.00008408064,0.0002546688,0.000227361,0.0003320329],"domain_scores_gemma":[0.9997452,0.00006405674,0.00003662275,0.00006116386,0.000003973977,0.00008899105],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.00000372997,0.00003336724,0.09830932,0.00000905076,0.000004035247,0.000001485397,0.00317079,0.00002625093,0.6146308,0.00039481,0.001254224,0.2821621],"study_design_scores_gemma":[0.0001591915,0.00002537924,0.9765257,0.000003191267,0.000006532351,0.000002062991,0.001809431,0.001530759,0.007588299,0.004637178,0.007556916,0.0001553524],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9916961,0.00001087729,0.001844054,0.0004269551,0.000172921,0.0001350607,0.00000289325,0.00005422123,0.00565697],"genre_scores_gemma":[0.9725923,0.00001230548,0.02632467,0.0001773651,0.00004827575,0.0000172228,0.000002089064,0.000006007211,0.0008197945],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8782164,"threshold_uncertainty_score":0.7095944,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0761278273843572,"score_gpt":0.4719054852897615,"score_spread":0.3957776579054043,"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."}}