{"id":"W4309310514","doi":"10.3390/f13111922","title":"Studies of the Photoprotection of Radiata Pine Wood Using Photocatalytic Nanoparticles","year":2022,"lang":"en","type":"article","venue":"Forests","topic":"Nanoparticles: synthesis and applications","field":"Materials Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Fondo de Financiamiento de Centros de Investigación en Áreas Prioritarias; Natural Sciences and Engineering Research Council of Canada; Agencia Nacional de Investigación y Desarrollo","keywords":"Photodegradation; Nanoparticle; Photocatalysis; Photoprotection; Photochemistry; Radical; Materials science; Irradiation; Absorbance; Electron paramagnetic resonance; Chemical engineering; Chemistry; Nanotechnology; Organic chemistry; Catalysis; Photosynthesis","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":[0.0002752088,0.00006014937,0.0001403576,0.00002994893,0.0002405573,0.000006431827,0.0002356419,0.00001036844,0.0001150767],"category_scores_gemma":[0.00006552697,0.00004345634,0.00005112188,0.0003044156,0.0001482812,0.00005327433,0.0002047412,0.00003753629,0.000003787934],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003188441,"about_ca_system_score_gemma":0.00003935085,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001200693,"about_ca_topic_score_gemma":0.00007276863,"domain_scores_codex":[0.9992166,0.00006630935,0.0002473696,0.0001317832,0.0002145927,0.0001233374],"domain_scores_gemma":[0.9993711,0.00005528656,0.0001950546,0.0003276197,0.00003241535,0.00001851517],"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":[0.0000149289,0.00008480781,0.001311009,0.00002546595,0.000007961494,1.650295e-7,0.0003042464,0.001298878,0.996389,0.0003761146,0.0000392753,0.0001481188],"study_design_scores_gemma":[0.000141301,0.00004720272,0.004043169,0.00001926761,0.00002678402,0.000004776653,0.0003502917,0.001059645,0.9933811,0.00076458,0.0001142405,0.00004759123],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9990326,0.0003018226,0.00002567771,0.00008662491,0.0001170476,0.0003657873,0.00003794007,0.0000140947,0.00001840822],"genre_scores_gemma":[0.9995896,0.000003405817,0.0002225198,0.00001344393,0.00001594312,0.0001311908,5.448172e-7,0.00000739389,0.00001600788],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003007877,"threshold_uncertainty_score":0.1850197,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05034526507069522,"score_gpt":0.2936956036117854,"score_spread":0.2433503385410901,"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."}}