{"id":"W2883732222","doi":"10.1115/1.2009-jun-3","title":"To Protect and Serve","year":2009,"lang":"en","type":"article","venue":"Mechanical Engineering","topic":"Research, Science, and Academia","field":"Decision Sciences","cited_by":23,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Engineering; Computer science; Environmental science; Forensic engineering","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002217302,0.00008709151,0.0001546393,0.000175903,0.00006739283,0.0001885399,0.0005461301,0.00005401429,0.00005740917],"category_scores_gemma":[0.003631019,0.00006114374,0.00003840835,0.0008123119,0.00001017418,0.0002005936,0.0001185497,0.000229198,0.000142337],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001809124,"about_ca_system_score_gemma":0.00001561823,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00000465099,"about_ca_topic_score_gemma":0.000001139398,"domain_scores_codex":[0.9981474,0.00002587622,0.0002380222,0.000361437,0.0009013921,0.0003258501],"domain_scores_gemma":[0.9991174,0.0002311817,0.00001887013,0.0002487925,0.00005460261,0.000329183],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00003621946,0.00004131072,0.0001314538,0.00001043232,0.000006459111,0.000047491,0.0004054592,0.01164869,0.4831845,0.07420865,0.003130314,0.4271491],"study_design_scores_gemma":[0.0007140981,0.0009495977,0.02822211,0.0001152647,0.000006083491,0.00006152738,0.0002004416,0.6610262,0.1039099,0.09728836,0.1066409,0.0008654991],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7007065,0.0001154505,0.2875508,0.009116393,0.0002655997,0.0005072099,0.00000301372,0.000176435,0.001558613],"genre_scores_gemma":[0.9934335,0.000003727612,0.005623647,0.0003692567,0.0000825833,0.000007695121,8.670103e-8,0.000004359859,0.0004751872],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6493775,"threshold_uncertainty_score":0.4346931,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0778870881161329,"score_gpt":0.3766060859265465,"score_spread":0.2987189978104137,"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."}}