{"id":"W4211167464","doi":"10.1021/acsnano.1c08244","title":"Controlled Nutrient Delivery through a pH-Responsive Wood Vehicle","year":2022,"lang":"en","type":"article","venue":"ACS Nano","topic":"Proteins in Food Systems","field":"Agricultural and Biological Sciences","cited_by":43,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Chinese Academy of Agricultural Sciences","keywords":"Nutrient; Controlled release; Probiotic; Materials science; Biomass (ecology); Biocompatible material; Environmental science; Pulp and paper industry; Chemistry; Nanotechnology; Biology; Biomedical engineering; Agronomy; Medicine","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00009268219,0.0003296941,0.0001451829,0.0001436542,0.0001099008,0.0003071041,0.0002384371,0.0003387783,0.0007565324],"category_scores_gemma":[0.00009513618,0.0001216336,0.0002054531,0.00007849041,0.000144665,0.0003350159,0.0002167525,0.0003119236,0.0003396388],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001591621,"about_ca_system_score_gemma":0.0001645357,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002478165,"about_ca_topic_score_gemma":0.0004642057,"domain_scores_codex":[0.9999149,0.000009172334,0.000004368485,0.0000272953,0.0000187834,0.00002544337],"domain_scores_gemma":[0.9999446,0.0000103931,0.00002090404,0.000004110891,0.000009367302,0.00001058951],"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":[0.00002176831,0.00001166144,0.00003011688,0.00003215194,0.000002056369,0.00003287976,0.000006053187,0.0001547562,0.9977876,0.0001248491,0.00005225373,0.001743962],"study_design_scores_gemma":[0.00000588672,0.0001125646,0.0001692232,0.000002905153,0.000004318093,0.0000508407,0.000009719435,0.001610099,0.9955894,0.00002641598,0.00241194,0.000006778081],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9427763,0.002234751,0.04976458,0.000163733,0.000156795,0.0001210763,0.0003050693,0.0005358688,0.00394192],"genre_scores_gemma":[0.9639602,0.001064432,0.02943968,0.0001693412,0.00002772699,0.000134499,0.0001796989,0.0000540782,0.004970339],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0007565324,"threshold_uncertainty_score":0.002530873,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02236028206876359,"score_gpt":0.220241619575553,"score_spread":0.1978813375067894,"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."}}