{"id":"W4237194376","doi":"10.1002/ange.201909222","title":"Building a Bridge from Papermaking to Solar Fuels","year":2019,"lang":"en","type":"article","venue":"Angewandte Chemie","topic":"Carbon and Quantum Dots Applications","field":"Materials Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Papermaking; Black liquor; Graphene; Solar energy; Renewable energy; Materials science; Raw material; Carbon black; Ultraviolet; Lignin; Nanotechnology; Chemistry; Optoelectronics; Organic chemistry; Natural rubber; Composite material","routes":{"ca_aff":true,"ca_fund":false,"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":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0001338989,0.000117416,0.0001658161,0.0000326069,0.00006565822,0.00009544665,0.0002440239,0.00005396755,0.001673725],"category_scores_gemma":[0.00002632212,0.0001121459,0.00005613879,0.0001424309,0.0000191631,0.0001097714,0.0001239739,0.00007182008,0.001870515],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004604389,"about_ca_system_score_gemma":0.00002544627,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003041138,"about_ca_topic_score_gemma":0.00002386757,"domain_scores_codex":[0.9990451,0.000009747185,0.000161648,0.0003499439,0.0001725832,0.000260988],"domain_scores_gemma":[0.9993194,0.00006483672,0.00005090678,0.0004160305,0.00003282336,0.0001159571],"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":[0.000007970494,0.00001516993,0.0003981733,0.000007422489,0.000003747008,0.000001974729,0.0002348007,0.000003325566,0.9966415,0.0008745315,0.001440601,0.0003708521],"study_design_scores_gemma":[0.0001779441,0.00001100936,0.003325476,0.00002863153,0.00000964327,0.000002424242,0.00002630963,0.000009567684,0.93449,0.0005921517,0.06116675,0.0001600942],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.99108,0.0001261624,0.0004992528,0.0004940353,0.0002483254,0.0002030763,0.0000664602,0.0001203558,0.00716234],"genre_scores_gemma":[0.9956248,0.000007769141,0.002426994,0.001332958,0.0002113628,0.00003697924,0.00001377878,0.00002026616,0.0003251043],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06215143,"threshold_uncertainty_score":0.9992389,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02126381867906259,"score_gpt":0.2730890682763478,"score_spread":0.2518252495972853,"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."}}