{"id":"W2019498472","doi":"10.1038/modpathol.3880120","title":"Laser Capture Microdissection–Guided Fluorescence In Situ Hybridization and Flow Cytometric Cell Cycle Analysis of Purified Nuclei from Paraffin Sections","year":2000,"lang":"en","type":"article","venue":"Modern Pathology","topic":"Molecular Biology Techniques and Applications","field":"Biochemistry, Genetics and Molecular Biology","cited_by":42,"is_retracted":false,"has_abstract":false,"ca_institutions":"Calgary Laboratory Services; University of Calgary","funders":"Medical Research Council; Medical Research Council Canada; Terry Fox Foundation; Calgary Laboratory Services","keywords":"Fluorescence in situ hybridization; Laser capture microdissection; Biology; Microdissection; Flow cytometry; Population; In situ; Molecular biology; Pathology; Gene; Chromosome; Genetics; Gene expression; Chemistry","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005561967,0.0006753326,0.0006217663,0.001816799,0.001396205,0.000628429,0.001381999,0.0007103704,0.005405418],"category_scores_gemma":[0.0003164309,0.0006174222,0.0005527194,0.001234072,0.0007839616,0.0006723647,0.0004346514,0.001311871,0.002229746],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008982731,"about_ca_system_score_gemma":0.001068374,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003840241,"about_ca_topic_score_gemma":0.01403247,"domain_scores_codex":[0.9995574,0.00003287613,0.00003104438,0.0001588545,0.0001106865,0.0001089971],"domain_scores_gemma":[0.9995788,0.000135343,0.00004345465,0.0001091846,0.00008859619,0.00004454216],"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":[0.00005788053,0.00001992245,0.00007867159,0.00004973661,0.000004996382,0.00002993699,0.00004627481,0.00005392451,0.9966319,0.0005393436,0.0001113847,0.002376019],"study_design_scores_gemma":[0.0000615153,0.0001673287,0.006272804,0.00001737137,0.00003200244,0.0003353481,0.00006562917,0.001899636,0.9797016,0.0005889577,0.0108419,0.000015859],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3658005,0.003882854,0.59249,0.0006530716,0.0004430074,0.00221181,0.00989067,0.003494397,0.02113369],"genre_scores_gemma":[0.35789,0.004250642,0.5819014,0.000595701,0.0001950975,0.005804334,0.01064736,0.001181538,0.03753384],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005405418,"threshold_uncertainty_score":0.01808298,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005700663047259416,"score_gpt":0.2309258123421108,"score_spread":0.2252251492948514,"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."}}