{"id":"W2765711541","doi":"10.1088/1361-6528/aa96c3","title":"Optimizing the photochemical conversion of UV–vis light of silver-nanoparticles decorated TiO <sub>2</sub> nanotubes based photoanodes","year":2017,"lang":"en","type":"article","venue":"Nanotechnology","topic":"Advanced Photocatalysis Techniques","field":"Energy","cited_by":25,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institut National de la Recherche Scientifique","funders":"Natural Sciences and Engineering Research Council of Canada; American University of Sharjah; University of Sharjah","keywords":"Materials science; Surface plasmon resonance; X-ray photoelectron spectroscopy; Anatase; Photoluminescence; Visible spectrum; Nanoparticle; Photochemistry; Transmission electron microscopy; Annealing (glass); Nanotechnology; Chemical engineering; Photocatalysis; Optoelectronics; Chemistry","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":[0.0001706024,0.0004581017,0.0002840889,0.0001523096,0.0001059661,0.0004153152,0.0002465634,0.0005553945,0.0006012798],"category_scores_gemma":[0.000233537,0.0002177748,0.0002620798,0.0001360812,0.0001608057,0.000271653,0.0001622202,0.0003525378,0.0003312278],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003507541,"about_ca_system_score_gemma":0.0001430239,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004929199,"about_ca_topic_score_gemma":0.001387052,"domain_scores_codex":[0.9998481,0.0000174592,0.00001166635,0.00004037316,0.00004675024,0.00003562953],"domain_scores_gemma":[0.9999042,0.00003164613,0.0000233536,0.000007253746,0.00002416481,0.00000933231],"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":[0.00001541453,0.000007706793,0.00004072956,0.00001951174,0.000001737323,0.00001381712,0.000006901871,0.0001111985,0.9993083,0.00001504792,0.000007106577,0.0004525332],"study_design_scores_gemma":[0.000001509712,0.00004064215,0.0004700343,0.000001453017,0.000003112831,0.0000107479,0.000007046037,0.0009657631,0.998296,0.000005831657,0.0001960641,0.000001923787],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9946042,0.0005228861,0.003339172,0.00002862995,0.00002219928,0.00002408763,0.00007164874,0.00005814579,0.001329179],"genre_scores_gemma":[0.9938531,0.0004480562,0.00432042,0.0000217091,0.000004813538,0.00002834875,0.0000703976,0.0000251464,0.001227834],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0006012798,"threshold_uncertainty_score":0.00254494,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01269097288990297,"score_gpt":0.2530865036520109,"score_spread":0.2403955307621079,"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."}}