{"id":"W4394895623","doi":"10.17504/protocols.io.n2bvj37qplk5/v1","title":"Precision thin sectioning of silica phytoliths by Focused Ion Beam (FIB-SEM) v1","year":2024,"lang":"en","type":"preprint","venue":"","topic":"Silicon Effects in Agriculture","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Light Source (Canada)","funders":"Fundação de Amparo à Pesquisa do Estado de São Paulo","keywords":"Phytolith; Materials science; Focused ion beam; Synchrotron; Carbon fibers; Silicon; Lamella (surface anatomy); Scanning electron microscope; Biogenic silica; Nanotechnology; Optics; Optoelectronics; Ion; Chemistry; Composite material; Geology; Botany","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":[0.0006268012,0.000781069,0.0002704696,0.0008649436,0.0005533796,0.0004794464,0.000445936,0.0006220947,0.005023256],"category_scores_gemma":[0.0004479342,0.0004581469,0.0003321144,0.0004402664,0.0005629151,0.0003742975,0.0004230981,0.0007313699,0.001588384],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002866425,"about_ca_system_score_gemma":0.0004382498,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001308949,"about_ca_topic_score_gemma":0.003233025,"domain_scores_codex":[0.9997686,0.00001783632,0.00002325858,0.00007729981,0.00006941075,0.00004365732],"domain_scores_gemma":[0.9994974,0.000164146,0.00004971055,0.0001314232,0.0001324491,0.00002481452],"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":[0.0000310947,0.00001376237,0.0004790767,0.0001144771,0.00001367451,0.0001511701,0.00006983423,0.0002175337,0.9941248,0.0004144683,0.0002657814,0.004104417],"study_design_scores_gemma":[0.00001886345,0.0001577164,0.01288419,0.00007235764,0.00004385064,0.0008214876,0.0001239794,0.005675485,0.9671578,0.0005153422,0.01250238,0.00002646526],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.7605318,0.002935046,0.2080119,0.0002300708,0.0002658243,0.0005553968,0.007115713,0.004248166,0.01610597],"genre_scores_gemma":[0.5523552,0.002740763,0.4293749,0.0002507893,0.00004169602,0.0005255429,0.006997121,0.001405404,0.006308548],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.005023256,"threshold_uncertainty_score":0.01680452,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01174894357967995,"score_gpt":0.2308331898836722,"score_spread":0.2190842463039922,"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."}}