{"id":"W2993430313","doi":"10.1002/elsc.201900133","title":"Improved in vitro rooting in liquid culture using a two piece scaffold system","year":2019,"lang":"en","type":"article","venue":"Engineering in Life Sciences","topic":"Plant tissue culture and regeneration","field":"Biochemistry, Genetics and Molecular Biology","cited_by":26,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"Ministry of Agriculture, Food and Rural Affairs; Ontario Ministry of Agriculture, Food and Rural Affairs","keywords":"Micropropagation; Liquid culture; Scaffold; Liquid medium; Plant tissue culture; Agricultural engineering; Tissue culture; Process (computing); Botany; Horticulture; Biology; Computer science; Biochemical engineering; Process engineering; Pulp and paper industry; In vitro; Biomedical engineering; Engineering","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":[0.0002989338,0.00009600501,0.0001173134,0.0000948569,0.0000237547,0.00002120107,0.0001386058,0.00008199205,7.097447e-7],"category_scores_gemma":[0.00004966964,0.00008031733,0.00002035572,0.000285006,0.00001645833,0.00001413369,0.00003715441,0.00007650123,0.000001582431],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003740163,"about_ca_system_score_gemma":0.00006973674,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002670436,"about_ca_topic_score_gemma":0.0003276073,"domain_scores_codex":[0.9992749,0.00001923736,0.0001662747,0.0002483648,0.00008067235,0.0002105243],"domain_scores_gemma":[0.9998375,0.000005877779,0.00003385304,0.0000795314,0.00001110184,0.00003215743],"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":[0.00001135062,0.000006584307,0.002289495,0.00002700982,0.000001574407,0.000002047984,0.000115842,0.1054337,0.8920523,0.00003324139,0.000005891876,0.00002096544],"study_design_scores_gemma":[0.0005365577,0.000104747,0.0006990694,0.0001953024,0.000001887434,0.00001850921,0.0003134646,0.3081759,0.6892405,3.97616e-7,0.0005039012,0.0002097959],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9976307,0.001486165,0.0003575382,0.000021716,0.0002316938,0.0001273786,0.000001480176,0.0000108517,0.0001324915],"genre_scores_gemma":[0.998121,0.00001329319,0.001625568,0.0000194348,0.0001463518,0.0000061867,0.000009203493,0.000005677433,0.00005327092],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2028119,"threshold_uncertainty_score":0.3275246,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008221794431100351,"score_gpt":0.2308691016432486,"score_spread":0.2226473072121483,"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."}}