{"id":"W2968028389","doi":"10.1039/c9an01080g","title":"Quantification of surface functional groups on silica nanoparticles: comparison of thermogravimetric analysis and quantitative NMR","year":2019,"lang":"en","type":"article","venue":"The Analyst","topic":"Molecular spectroscopy and chirality","field":"Chemistry","cited_by":77,"is_retracted":false,"has_abstract":true,"ca_institutions":"Health Canada; National Research Council Canada","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Thermogravimetric analysis; Nanoparticle; Materials science; Chemical engineering; Chemistry; Nanotechnology; Organic chemistry; Engineering","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":[0.001548216,0.0008526804,0.00050538,0.001532014,0.0002060263,0.0005192457,0.0006076547,0.0008317695,0.0007423625],"category_scores_gemma":[0.001362944,0.0004850636,0.0004994103,0.0007820082,0.0006456157,0.0004588983,0.0004666556,0.0006253434,0.0003769746],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003240093,"about_ca_system_score_gemma":0.0002245814,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008719575,"about_ca_topic_score_gemma":0.00200593,"domain_scores_codex":[0.9986773,0.0002470451,0.00008829767,0.0003251406,0.0005755952,0.00008648024],"domain_scores_gemma":[0.9988356,0.0004786863,0.0001751163,0.00009166362,0.0003765275,0.00004239006],"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":[0.00003886598,0.00001283655,0.000286203,0.0001015189,0.00001218445,0.00001443159,0.00003761814,0.0001515976,0.9972215,0.00004163889,0.00001208565,0.002069608],"study_design_scores_gemma":[0.000004799655,0.0002090363,0.004749847,0.00001778373,0.00003269233,0.00009255297,0.00004745219,0.003542765,0.9903904,0.0001063619,0.000785072,0.00002114944],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8739147,0.006752074,0.1137607,0.0001642393,0.0001343988,0.0002735838,0.001186406,0.0005042923,0.003309419],"genre_scores_gemma":[0.8457565,0.004018366,0.1446458,0.0001570116,0.00006641039,0.0003850956,0.001003032,0.0001055754,0.00386223],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001548216,"threshold_uncertainty_score":0.00818783,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02835356615188595,"score_gpt":0.3024084408122599,"score_spread":0.2740548746603739,"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."}}