{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000665781,0.0001481553,0.0003183945,0.00003278482,0.0001145532,0.0000647303,0.000419862,0.0000471674,0.000009391708],"category_scores_gemma":[0.0006001615,0.0001101056,0.0001127236,0.0003206691,0.0001751338,0.0001792842,0.00004339267,0.00005795474,0.00000615972],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003918777,"about_ca_system_score_gemma":0.00003290684,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005358852,"about_ca_topic_score_gemma":0.00002723923,"domain_scores_codex":[0.9984609,0.0001437792,0.0005911401,0.0003973624,0.0001886069,0.0002182175],"domain_scores_gemma":[0.9984362,0.000519062,0.0004935378,0.0004162472,0.0000878757,0.00004711836],"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":[0.0001036667,0.0001003163,0.0007280794,0.0001639549,0.00002195947,2.602889e-7,0.001207887,0.0000600117,0.996161,0.0006944726,0.00007345694,0.0006848672],"study_design_scores_gemma":[0.0003757627,0.00002907749,0.01320956,0.00008558902,0.00007175035,3.209867e-7,0.0006153306,0.001393787,0.9826058,0.001170863,0.0003267248,0.0001154603],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9937665,0.001394138,0.002157627,0.001341327,0.0002172909,0.0009082818,0.0001732245,0.00003403457,0.000007559972],"genre_scores_gemma":[0.9984115,0.0001169477,0.001180967,0.00004064301,0.00005975794,0.0001446343,0.00001836418,0.00002197822,0.0000052387],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01355529,"threshold_uncertainty_score":0.4489974,"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."}}