{"id":"W4220729350","doi":"10.1016/j.chemosphere.2022.134473","title":"A novel particulate matter sampling and cell exposure strategy based on agar membrane for cytotoxicity study","year":2022,"lang":"en","type":"article","venue":"Chemosphere","topic":"Air Quality and Health Impacts","field":"Environmental Science","cited_by":8,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University","funders":"Natural Science Foundation of Jiangsu Province; National Natural Science Foundation of China","keywords":"Agar; Membrane; Cytotoxicity; Extraction (chemistry); Chromatography; Chemistry; Toxicity; Agar plate; In vitro; Biology; Biochemistry; Bacteria","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":[0.0003369485,0.0007214287,0.0005615743,0.0004241889,0.0003397428,0.00069768,0.0007086884,0.0008052909,0.0004808007],"category_scores_gemma":[0.0004242207,0.0002698108,0.0004511616,0.0003322664,0.0003022573,0.0005469074,0.0008197551,0.0006569668,0.0005661802],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002907587,"about_ca_system_score_gemma":0.0005715638,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001138122,"about_ca_topic_score_gemma":0.001969978,"domain_scores_codex":[0.9994423,0.00005927256,0.0000527184,0.0001514734,0.0002502873,0.00004393029],"domain_scores_gemma":[0.9995432,0.00006575938,0.00009242305,0.00008808898,0.0001662355,0.00004430981],"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":[0.00003193981,0.00002520858,0.0003929287,0.00003202045,0.000005809858,0.00003023949,0.00001307506,0.0000916417,0.9969392,0.00005466297,0.00002357797,0.002359591],"study_design_scores_gemma":[0.000004878542,0.000193905,0.001543063,0.000003331042,0.00002189313,0.0001747494,0.00003886437,0.002078653,0.9943447,0.00005758596,0.001523026,0.00001541607],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7401242,0.001792582,0.2525688,0.0004448454,0.0002802731,0.0004613379,0.0007812212,0.0009112799,0.002635455],"genre_scores_gemma":[0.8256904,0.001545586,0.1669867,0.0002283756,0.00006586959,0.000350953,0.0005429822,0.00006517959,0.004523907],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001138122,"threshold_uncertainty_score":0.002263069,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05363875799728139,"score_gpt":0.2933950860825875,"score_spread":0.2397563280853061,"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."}}