{"id":"W2253113819","doi":"10.1089/jamp.2015.1270","title":"Bridging the Gap Between Science and Clinical Efficacy: Physiology, Imaging, and Modeling of Aerosols in the Lung","year":2016,"lang":"en","type":"review","venue":"Journal of Aerosol Medicine and Pulmonary Drug Delivery","topic":"Inhalation and Respiratory Drug Delivery","field":"Medicine","cited_by":85,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"National Heart, Lung, and Blood Institute; National Institute for Health and Care Research","keywords":"Bridging (networking); Intensive care medicine; Clinical efficacy; Medicine; Basic research; Medical physics; Drug development; Clinical science; Data science; Computer science; Management science; Disease; Pathology; Drug; Pharmacology; Engineering; Internal medicine","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":[0.005405502,0.0007969189,0.001399118,0.0009605904,0.0004431673,0.003609919,0.001268653,0.003026445,0.001091615],"category_scores_gemma":[0.006276981,0.0006019516,0.001206367,0.000941316,0.002113927,0.003802547,0.002077676,0.003300138,0.0004112453],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001417959,"about_ca_system_score_gemma":0.00242828,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001997492,"about_ca_topic_score_gemma":0.001353727,"domain_scores_codex":[0.9979603,0.001104264,0.0001320942,0.0001981383,0.000504551,0.0001006789],"domain_scores_gemma":[0.9964623,0.002740017,0.0002484281,0.0001371831,0.0003041776,0.0001079411],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0009362682,0.0004636917,0.009690103,0.01030591,0.0003402771,0.001506534,0.002136265,0.183609,0.04043727,0.2612445,0.02514219,0.464188],"study_design_scores_gemma":[0.0002006212,0.001584391,0.007933274,0.00389356,0.0004186244,0.003612224,0.001172746,0.4824392,0.02725142,0.2598305,0.2112502,0.0004132776],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.03890742,0.4665384,0.406683,0.06701534,0.004022437,0.0002433405,0.0002989348,0.0005840636,0.0157072],"genre_scores_gemma":[0.4527616,0.3687368,0.1563364,0.006974112,0.007242184,0.0004300584,0.0003926454,0.0003025614,0.006823773],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.005405502,"threshold_uncertainty_score":0.02858734,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08120104963945546,"score_gpt":0.3857253673806998,"score_spread":0.3045243177412443,"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."}}