{"id":"W114178504","doi":"10.1016/b978-0-12-394445-0.00048-5","title":"Laser Capture Microdissection","year":2013,"lang":"en","type":"book-chapter","venue":"Elsevier eBooks","topic":"Molecular Biology Techniques and Applications","field":"Biochemistry, Genetics and Molecular Biology","cited_by":6,"is_retracted":false,"has_abstract":false,"ca_institutions":"Queen's University","funders":"","keywords":"Laser capture microdissection; RNA; Biology; Nucleic acid; Microdissection; DNA; RNA extraction; Computational biology; Cell biology; DNA extraction; Molecular biology; Polymerase chain reaction; Gene; Gene expression; Biochemistry","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00006532561,0.0003389304,0.0002285056,0.00004904967,0.0000903828,0.00002355257,0.0002410598,0.0008623165,0.0003029018],"category_scores_gemma":[0.000004727327,0.0003177201,0.0002289828,0.000006298199,0.0001229951,8.435647e-7,0.0001376252,0.0002833343,0.0002689371],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000179787,"about_ca_system_score_gemma":0.00005426343,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001121277,"about_ca_topic_score_gemma":0.00001855241,"domain_scores_codex":[0.998906,0.00001615452,0.000241127,0.0005436437,0.00008516807,0.0002079737],"domain_scores_gemma":[0.998965,0.0000031058,0.0001537527,0.0006872243,0.0001024125,0.00008846456],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000008866388,0.00001187694,0.000003631575,0.00002277396,0.0001322636,0.000005120301,0.000009583856,2.998249e-7,0.1302913,0.002611137,0.01863829,0.8482649],"study_design_scores_gemma":[0.00009368509,0.00006927132,0.000005832149,0.00003329489,0.00004820397,0.0000379306,0.000001666863,0.000001031114,0.03230856,0.001649456,0.9654056,0.0003455071],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.000500027,0.001018758,0.0002312314,0.00007569916,0.000110601,0.0005946763,0.0000544778,0.000049699,0.9973648],"genre_scores_gemma":[0.002789764,0.0002491265,0.001280491,0.0007988107,0.0003882257,0.0001724486,0.0006715712,0.00008916057,0.9935604],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.9467673,"threshold_uncertainty_score":0.9999275,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006433495936971779,"score_gpt":0.2266968201224686,"score_spread":0.2202633241854969,"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."}}