{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004794896,0.0013893,0.001007969,0.002148866,0.001078298,0.001497385,0.0017747,0.000978701,0.1067217],"category_scores_gemma":[0.0003161752,0.0009384871,0.0006832473,0.001656733,0.0005522888,0.001259892,0.001428381,0.001773382,0.1096965],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006363777,"about_ca_system_score_gemma":0.000600877,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0013373,"about_ca_topic_score_gemma":0.006301987,"domain_scores_codex":[0.9996468,0.00001635204,0.0000170617,0.0001215986,0.0001603053,0.00003798296],"domain_scores_gemma":[0.9998562,0.00005231135,0.000009260672,0.00003964769,0.00002553849,0.00001696842],"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":[0.00009047204,0.0000832184,0.0001957639,0.0008968083,0.00003681721,0.0003129974,0.0001647642,0.0005229847,0.4267637,0.01501227,0.07851028,0.4774099],"study_design_scores_gemma":[0.00002772688,0.00007298849,0.00211999,0.0002154498,0.00005545961,0.001510011,0.00004164279,0.001318425,0.1259614,0.006029604,0.8626022,0.00004510666],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"methods","genre_scores_codex":[0.01043038,0.02777902,0.3869136,0.0008047878,0.001130992,0.0005231917,0.009757861,0.01184194,0.5508183],"genre_scores_gemma":[0.0159458,0.01566634,0.120696,0.0006541853,0.0001699921,0.0006789285,0.0128485,0.001908331,0.8314319],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.1067217,"threshold_uncertainty_score":0.3570197,"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."}}