{"id":"W1976915647","doi":"10.1016/j.jcis.2014.09.033","title":"Tailoring the properties of sub-3 μm silica core–shell particles prepared by a multilayer-by-multilayer process","year":2014,"lang":"en","type":"article","venue":"Journal of Colloid and Interface Science","topic":"Mesoporous Materials and Catalysis","field":"Materials Science","cited_by":23,"is_retracted":false,"has_abstract":false,"ca_institutions":"McMaster University","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs; Ontario Innovation Trust","keywords":"Core (optical fiber); Materials science; Shell (structure); Process (computing); Chemical engineering; Composite material; Nanotechnology; Computer science; 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":[0.0001728924,0.0003256997,0.0002059279,0.0001503476,0.0001368174,0.0002837816,0.0001561127,0.0002952816,0.0005665945],"category_scores_gemma":[0.0002331805,0.0002209105,0.0001973434,0.00009007916,0.0001532754,0.0003089599,0.0002111811,0.0004092617,0.0002680537],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002189908,"about_ca_system_score_gemma":0.0001419848,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004193208,"about_ca_topic_score_gemma":0.0008518517,"domain_scores_codex":[0.9999257,0.000005264392,0.000006726586,0.0000179763,0.00002022672,0.00002407163],"domain_scores_gemma":[0.9998876,0.00002663099,0.00003148945,0.00001018163,0.00002420812,0.00001997754],"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":[0.00001781249,0.000003723077,0.00004044379,0.00001145735,0.000002325383,0.000007391242,0.000008203298,0.00003692908,0.9995151,0.00001794956,0.00001146771,0.0003271762],"study_design_scores_gemma":[0.000004692739,0.00004625833,0.0007461329,0.000001768641,0.000008700648,0.00001499896,0.000007616646,0.0008732316,0.9980174,0.000007515192,0.0002684049,0.000003404595],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9959065,0.0003028661,0.002816625,0.00003344395,0.0000211189,0.0000124417,0.00006230998,0.00006246164,0.0007820831],"genre_scores_gemma":[0.9969376,0.0001788289,0.002160987,0.00002746631,0.000005167672,0.00001229119,0.00006191578,0.00002390387,0.0005920216],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0005665945,"threshold_uncertainty_score":0.001895487,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01548218189507898,"score_gpt":0.2540015800223669,"score_spread":0.238519398127288,"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."}}