{"id":"W3112279037","doi":"10.1002/admt.202000726","title":"Heart‐on‐a‐Chip Platform for Assessing Toxicity of Air Pollution Related Nanoparticles","year":2020,"lang":"en","type":"article","venue":"Advanced Materials Technologies","topic":"Air Quality and Health Impacts","field":"Environmental Science","cited_by":42,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto General Hospital; University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research","keywords":"Troponin; Secretion; Intracellular; Medicine; Internal medicine; Cardiology; Chemistry; Cell biology; Biology; Myocardial infarction","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0002424341,0.0003231092,0.0002266307,0.0002320393,0.0001348295,0.0002724828,0.0003955608,0.0006532575,0.001510505],"category_scores_gemma":[0.0002050777,0.0001764823,0.0002168937,0.00008125398,0.0001282612,0.0002028185,0.000253588,0.0002692221,0.0003234618],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001727456,"about_ca_system_score_gemma":0.0001930114,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005327374,"about_ca_topic_score_gemma":0.0009148599,"domain_scores_codex":[0.9998602,0.00001515394,0.000006662278,0.00004469271,0.00005573631,0.00001752935],"domain_scores_gemma":[0.999886,0.00003372917,0.00002040509,0.00001453726,0.00003253298,0.00001279266],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00005061867,0.00004410158,0.0003546435,0.00005589431,0.00001221663,0.00003740475,0.00001235724,0.001076235,0.9945291,0.0001123138,0.0001714584,0.003543621],"study_design_scores_gemma":[0.00001172041,0.0004604945,0.002329883,0.000005561668,0.00002828917,0.00006006327,0.00002087154,0.0283864,0.9665368,0.0001022887,0.002038116,0.00001939292],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8724177,0.001427513,0.1192312,0.000145707,0.0002754915,0.0002261513,0.001213523,0.001490501,0.003572231],"genre_scores_gemma":[0.9095412,0.0006008607,0.08376393,0.0001623645,0.00002247454,0.0004682367,0.0004497184,0.00004492064,0.004946257],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001510505,"threshold_uncertainty_score":0.005053103,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05230241988720149,"score_gpt":0.3227138055843807,"score_spread":0.2704113856971793,"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."}}