{"id":"W2282932328","doi":"10.1017/s1431927602105502","title":"“H-Bar Lift-Out” and “Plan-View Lift-Out”: Robust, Re-thinnable FIB-TEM Preparation for Ex-Situ Cross-Sectional and Plan-View FIB Specimen Preparation","year":2002,"lang":"en","type":"article","venue":"Microscopy and Microanalysis","topic":"Advanced Electron Microscopy Techniques and Applications","field":"Biochemistry, Genetics and Molecular Biology","cited_by":29,"is_retracted":false,"has_abstract":true,"ca_institutions":"Fibics (Canada)","funders":"","keywords":"Plan (archaeology); Lift (data mining); Library science; Materials science; Computer science; Art; History; Archaeology","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":[0.00115292,0.002422204,0.001326391,0.001283192,0.001751628,0.0005548,0.001968354,0.0009379037,0.02917242],"category_scores_gemma":[0.002275742,0.001921398,0.0009396086,0.0005713808,0.0009353523,0.001032464,0.001215104,0.002692508,0.01590114],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003575728,"about_ca_system_score_gemma":0.0007040596,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009137444,"about_ca_topic_score_gemma":0.002868745,"domain_scores_codex":[0.9991301,0.000124138,0.0001161131,0.0002069304,0.0003190156,0.0001037493],"domain_scores_gemma":[0.9975677,0.0005195543,0.0001892135,0.001182747,0.0004026044,0.0001381208],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0004021006,0.0001220986,0.000342268,0.0004463089,0.00006618787,0.0005057974,0.00020042,0.0003211054,0.9366759,0.00254177,0.02136034,0.03701575],"study_design_scores_gemma":[0.00008506941,0.0001133628,0.002518615,0.00002517289,0.00005569345,0.001197738,0.00002988157,0.002551139,0.9390125,0.001000103,0.05330918,0.0001015363],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.07857541,0.001865661,0.8567308,0.00124126,0.001232015,0.001888748,0.007604682,0.02780197,0.02305946],"genre_scores_gemma":[0.08805325,0.00107326,0.8637453,0.0005191187,0.000193834,0.001982121,0.01099111,0.007437018,0.02600492],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.02917242,"threshold_uncertainty_score":0.09759146,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02242995887476902,"score_gpt":0.3344443425233533,"score_spread":0.3120143836485843,"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."}}