{"id":"W4319947758","doi":"10.1093/jrssig/qmad007","title":"Does it pay to park in front of a fire hydrant?","year":2023,"lang":"en","type":"article","venue":"Significance","topic":"Evacuation and Crowd Dynamics","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Ticket; Front (military); History; Operations research; Computer science; Engineering; Computer security; Mechanical engineering","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":[0.00009903807,0.00006247284,0.0001028743,0.00004253186,0.000009147491,0.000006565042,0.00008975207,0.00003097565,0.00004977903],"category_scores_gemma":[0.00002738201,0.00004194555,0.00002136946,0.0001758998,0.00001039551,0.00003333456,0.00001065214,0.00006207971,0.0001407791],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003056375,"about_ca_system_score_gemma":0.00001054136,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005756774,"about_ca_topic_score_gemma":0.0005933896,"domain_scores_codex":[0.9995093,0.000009344994,0.0001549413,0.00009544935,0.00009356299,0.0001373446],"domain_scores_gemma":[0.9997641,0.00003789118,0.00001224012,0.0001369205,0.00001319347,0.00003565078],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00004577158,0.00005852923,0.0111028,0.00046692,0.00004530223,0.00003812441,0.01099286,0.816272,0.06628717,0.001082159,0.04500281,0.04860553],"study_design_scores_gemma":[0.0007617531,0.00006231395,0.0830852,0.0002536822,0.00001109735,4.485737e-7,0.001677442,0.7998081,0.02592465,0.001623314,0.08618502,0.0006069909],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.982301,0.00009676009,0.004646554,0.002020955,0.0008223128,0.0004280948,0.00007827504,0.0004887193,0.009117351],"genre_scores_gemma":[0.9977593,0.0001003307,0.0002511337,0.00006793729,0.00002539278,0.000040697,0.000005549103,0.00001359528,0.00173606],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0719824,"threshold_uncertainty_score":0.1809477,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00919795919816973,"score_gpt":0.2351115591110352,"score_spread":0.2259135999128654,"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."}}