{"id":"W3124588158","doi":"10.1093/mtomcs/mfaa005","title":"Distinguishing the effects of Ce nanoparticles from their dissolution products: identification of transcriptomic biomarkers that are specific for ionic Ce in<i>Chlamydomonas reinhardtii</i>","year":2020,"lang":"en","type":"article","venue":"Metallomics","topic":"Nanoparticles: synthesis and applications","field":"Materials Science","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","funders":"Fonds de recherche du Québec – Nature et technologies; Natural Sciences and Engineering Research Council of Canada","keywords":"Chlamydomonas reinhardtii; Dissolution; Ionic bonding; Chemistry; Transcriptome; Chlamydomonas; Nanoparticle; Identification (biology); Chemical engineering; Nanotechnology; Biochemistry; Biology; Materials science; Botany; Gene; Ion; Organic chemistry; Gene expression","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":[0.0002000072,0.0004480272,0.0005002071,0.0002007313,0.0002239668,0.0005284846,0.000176102,0.0004754164,0.0003844568],"category_scores_gemma":[0.0002800627,0.0002396924,0.0005156723,0.000266212,0.0003679752,0.000344363,0.0003481697,0.0005707769,0.0002113402],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003623159,"about_ca_system_score_gemma":0.0003136685,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0022458,"about_ca_topic_score_gemma":0.002810486,"domain_scores_codex":[0.9997616,0.00001430186,0.00001552648,0.000111633,0.00005488097,0.00004209311],"domain_scores_gemma":[0.9997984,0.0000543304,0.0000562637,0.00001644958,0.00005344301,0.00002128616],"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":[0.0000258872,0.000003896689,0.0003811516,0.00003334441,0.00000265959,0.00001079195,0.00002807889,0.00001852017,0.9991479,0.00001074317,0.000009136516,0.0003279487],"study_design_scores_gemma":[0.000006686171,0.0002432486,0.08236533,0.00002239522,0.00005470665,0.0001525632,0.0003270172,0.000828125,0.9137106,0.00009160548,0.002176387,0.00002141122],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9886172,0.001285054,0.005295338,0.0001425978,0.00003851678,0.00004678437,0.003610203,0.00008145608,0.0008828868],"genre_scores_gemma":[0.9824859,0.001209206,0.008271446,0.0003463457,0.00001661411,0.0002025202,0.003667871,0.00006442647,0.003735593],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0022458,"threshold_uncertainty_score":0.004465401,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03117930629709247,"score_gpt":0.2305837664617719,"score_spread":0.1994044601646795,"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."}}