{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.003773516,0.001787975,0.001370402,0.001715614,0.007585558,0.02168468,0.002405457,0.008551423,0.5283409],"category_scores_gemma":[0.01659647,0.0005165243,0.001011885,0.001336631,0.004269282,0.01367562,0.01496754,0.009826097,0.6599662],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002428544,"about_ca_system_score_gemma":0.007567126,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004189515,"about_ca_topic_score_gemma":0.003790578,"domain_scores_codex":[0.9941205,0.0009187782,0.000205724,0.001103402,0.001978467,0.001673085],"domain_scores_gemma":[0.9889613,0.0007887028,0.0004962081,0.003003883,0.003591948,0.003157954],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00002639342,0.00004758892,0.0002786001,0.00007473284,0.000005961725,0.0001077132,0.0005446588,0.00002680681,0.0002307563,0.02150196,0.9320393,0.04511562],"study_design_scores_gemma":[0.000003319217,0.000009693946,0.0001106592,0.00004647976,0.000001212665,0.00007617386,0.000236818,0.00002140343,0.00004422754,0.001426208,0.9980186,0.000005167733],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"commentary","genre_scores_codex":[0.0006988255,0.002779111,0.001670954,0.0581114,0.01829066,0.0001599199,0.0007198955,0.001425087,0.9161441],"genre_scores_gemma":[0.005287877,0.001270049,0.0004316751,0.02756306,0.002955185,0.0001358463,0.0005323745,0.0006214237,0.9612027],"genre_candidate":"commentary","genre_consensus":null,"teacher_disagreement_score":0.5283409,"threshold_uncertainty_score":0.6727644,"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."}}