{"id":"W7054638242","doi":"","title":"Account analysis of WTC survivors","year":2004,"lang":"en","type":"article","venue":"NPARC","topic":"Laser Design and Applications","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Research Council Canada; National Institute of Standards and Technology","keywords":"Statistical analysis; Life table; Consumption (sociology); Trend analysis; Period (music)","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00003283263,0.00003635314,0.00008151006,0.00007450114,0.00001047427,0.000004723287,0.00006428776,0.00001939807,0.0001906522],"category_scores_gemma":[0.000002229418,0.00003453263,0.000046126,0.0004776717,0.00001000665,0.00002534052,0.000004856252,0.00002689028,0.00003068034],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001883656,"about_ca_system_score_gemma":0.000005453495,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000595596,"about_ca_topic_score_gemma":0.000108247,"domain_scores_codex":[0.9997506,0.000001975495,0.00007777456,0.00004742606,0.00005902496,0.00006317145],"domain_scores_gemma":[0.9998057,0.0000106006,0.000008421264,0.0001397523,0.00001358546,0.00002195302],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.000002905045,0.00008511878,0.002817906,0.0000406922,0.001015352,0.000002020593,0.0006651464,0.4768074,0.4759743,0.03472744,0.004210856,0.003650859],"study_design_scores_gemma":[0.001481825,0.00005835875,0.130479,0.00004385003,0.002603109,0.00000267941,0.0003538875,0.1967653,0.5518765,0.05619739,0.05907216,0.001065896],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9177505,0.00002628263,0.03862484,0.0001856416,0.00004338202,0.00006260637,0.00003219882,0.0001476031,0.04312699],"genre_scores_gemma":[0.9982582,0.00001374447,0.001562048,0.00001518716,0.00001082227,0.000008428188,0.00001029727,0.000005672123,0.000115634],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2800421,"threshold_uncertainty_score":0.2087508,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01053850505540561,"score_gpt":0.2159576729262685,"score_spread":0.2054191678708629,"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."}}