{"id":"W2316821398","doi":"10.1097/hp.0000000000000114","title":"Modeling Population Screening Process for Maximizing Throughputs","year":2014,"lang":"en","type":"article","venue":"Health Physics","topic":"Radioactive contamination and transfer","field":"Environmental Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Health Canada","funders":"","keywords":"Population; Computer science; Process (computing); Medicine; Environmental health","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00135215,0.0009256661,0.001136148,0.0007597021,0.0006421636,0.00129686,0.00139255,0.001900572,0.005333427],"category_scores_gemma":[0.004857899,0.0006138994,0.00151364,0.0008497179,0.0008003184,0.001332837,0.0009536548,0.001188405,0.0004519734],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00186588,"about_ca_system_score_gemma":0.002070235,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03945655,"about_ca_topic_score_gemma":0.01024172,"domain_scores_codex":[0.9994024,0.0002008422,0.00001891059,0.000124868,0.00007541891,0.0001775507],"domain_scores_gemma":[0.997544,0.001671509,0.0002278582,0.00008084121,0.0003444134,0.000131359],"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":[0.00002579102,0.00001766131,0.001218847,0.00001061458,0.000007610154,0.00004870356,0.00003090742,0.9954593,0.0002874137,0.001972677,0.0001438297,0.0007766874],"study_design_scores_gemma":[0.00000737779,0.00001554808,0.0003071924,0.000002558696,0.00000927631,0.00001403,0.000025852,0.9983966,0.000135465,0.0009367687,0.0001438341,0.000005512235],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5574816,0.0005074874,0.4187202,0.001399107,0.0001131283,0.0003223247,0.001542475,0.0006233947,0.01929016],"genre_scores_gemma":[0.9714767,0.0003097937,0.01714047,0.0001183949,0.00002764621,0.0002822746,0.0004626896,0.0000741117,0.01010784],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03945655,"threshold_uncertainty_score":0.07845378,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05468270428294259,"score_gpt":0.3322832805308942,"score_spread":0.2776005762479516,"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."}}