{"id":"W4295095571","doi":"10.3390/applbiosci1020013","title":"Bioencapsulation of Microbial Inoculants: Mechanisms, Formulation Types and Application Techniques","year":2022,"lang":"en","type":"article","venue":"Applied Biosciences","topic":"Plant-Microbe Interactions and Immunity","field":"Agricultural and Biological Sciences","cited_by":92,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Microbial inoculant; Agrochemical; Biochemical engineering; Biotechnology; Beneficial organism; Environmentally friendly; Agriculture; Microorganism; Environmental science; Biology; Bacteria; Engineering; Ecology","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":[],"consensus_categories":[],"category_scores_codex":[0.0002335371,0.00006265107,0.00007955731,0.00002875776,0.0004233327,0.00002496503,0.0001609111,0.00002766924,0.00008078092],"category_scores_gemma":[0.000005442152,0.00002925241,0.00001957437,0.0003334751,0.0000539113,0.0001038669,0.0001069026,0.00006148806,0.000001921409],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001706377,"about_ca_system_score_gemma":0.000005777314,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004198883,"about_ca_topic_score_gemma":0.00009619676,"domain_scores_codex":[0.9994341,0.00002415082,0.0001502065,0.0001668095,0.0001267142,0.00009806917],"domain_scores_gemma":[0.9997501,0.00004200088,0.0001272917,0.00003741154,0.00002421542,0.00001900831],"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":[0.00001142409,0.00003423361,0.0002331078,0.000001750372,0.00000163418,3.87132e-8,0.00003503741,0.000003766655,0.9445938,0.00365134,0.00003178008,0.05140201],"study_design_scores_gemma":[0.00008507411,0.0002794417,0.04881687,0.000006314845,0.00001153773,0.0000193284,0.001026518,0.0005600389,0.9270302,0.009200535,0.01276266,0.000201466],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9985694,0.00002417176,0.0002818331,0.0001984327,0.00005030251,0.0002123735,0.00007005005,0.00004008317,0.0005534005],"genre_scores_gemma":[0.9988875,0.00001756406,0.0008445053,0.0000858119,0.00001935415,0.00003393884,0.00009376842,4.041347e-7,0.00001719799],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05120055,"threshold_uncertainty_score":0.3255976,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01033288736912174,"score_gpt":0.2115811591629546,"score_spread":0.2012482717938329,"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."}}