{"id":"W7056998353","doi":"","title":"High-rise office egress: the human factors","year":2007,"lang":"en","type":"article","venue":"NPARC","topic":"Magnetic confinement fusion research","field":"Physics and Astronomy","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Affect (linguistics); Action (physics); Ignorance; Selection (genetic algorithm); Sight","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00206986,0.000232456,0.0002390059,0.0004922213,0.001357398,0.00141849,0.000287366,0.0003811507,0.003793994],"category_scores_gemma":[0.007696273,0.0001514151,0.0002551112,0.0005133467,0.0008883917,0.0004861713,0.0007250679,0.0006054553,0.0003910096],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006352497,"about_ca_system_score_gemma":0.001172447,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02315045,"about_ca_topic_score_gemma":0.03635383,"domain_scores_codex":[0.998363,0.0008209133,0.00006403943,0.0001292857,0.0004129571,0.0002097768],"domain_scores_gemma":[0.9884492,0.008538489,0.0009243209,0.0002679932,0.001097907,0.0007221386],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004939677,0.0003136262,0.856603,0.0004563699,0.0001158583,0.000630255,0.02570061,0.0009072821,0.002369557,0.0005332062,0.002893461,0.1089828],"study_design_scores_gemma":[0.00000834321,0.0005404266,0.959424,0.0001060391,0.00004832436,0.0003094832,0.03065012,0.0005630626,0.0006213323,0.0002322425,0.007453134,0.00004332371],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9782231,0.001533549,0.003981733,0.001100424,0.00008196096,0.0001672232,0.000384308,0.00005534053,0.01447234],"genre_scores_gemma":[0.9968333,0.0004132192,0.001124589,0.0002183272,0.00002817489,0.0000412792,0.00007222339,0.0000105146,0.001258571],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02315045,"threshold_uncertainty_score":0.04603142,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01684138593047258,"score_gpt":0.2802088682096671,"score_spread":0.2633674822791945,"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."}}