{"id":"W4389339050","doi":"10.1038/s41467-023-43594-4","title":"Wood-based superblack","year":2023,"lang":"en","type":"article","venue":"Nature Communications","topic":"Solar-Powered Water Purification Methods","field":"Energy","cited_by":47,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Horizon 2020 Framework Programme; China Scholarship Council; Canada Foundation for Innovation; Academy of Finland; Walter Ahlströmin Säätiö; Aalto-Yliopisto; European Commission; Tekniikan Edistämissäätiö; Canada Excellence Research Chairs, Government of Canada","keywords":"Computer science","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":[0.00005677803,0.0002098711,0.0001124137,0.0001417552,0.0001783101,0.000309613,0.0002330718,0.0003008517,0.001802514],"category_scores_gemma":[0.000090679,0.0001619028,0.000135467,0.0001084273,0.0001489225,0.0002602564,0.0002090951,0.0003235907,0.0005545177],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001381602,"about_ca_system_score_gemma":0.0001297951,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002992429,"about_ca_topic_score_gemma":0.001374436,"domain_scores_codex":[0.99994,0.000003825353,0.00000177385,0.00001762867,0.00002505284,0.00001171398],"domain_scores_gemma":[0.9999527,0.000008666234,0.0000129425,0.000006188272,0.0000104683,0.000009042018],"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":[0.00001340811,0.000008346449,0.0001085717,0.00005700206,0.000002780901,0.00004879776,0.00001373763,0.0007246931,0.9948442,0.000932886,0.0001192857,0.003126327],"study_design_scores_gemma":[0.000003709216,0.00007597209,0.0008082369,0.000006040436,0.000005217118,0.0001082974,0.0000158688,0.005317508,0.9857424,0.0002448665,0.007666236,0.000005666013],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9391673,0.001024137,0.04534196,0.00009174873,0.00006460411,0.00003708108,0.0003153477,0.0005394702,0.01341838],"genre_scores_gemma":[0.965075,0.0005482181,0.02768422,0.00004379144,0.000007872996,0.00003324533,0.0002705811,0.0001036291,0.006233497],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001802514,"threshold_uncertainty_score":0.006029963,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05908628456302738,"score_gpt":0.3643861043701722,"score_spread":0.3052998198071448,"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."}}