{"id":"W3097509252","doi":"10.1002/path.5575","title":"Whole‐slide laser microdissection for tumour enrichment","year":2020,"lang":"en","type":"article","venue":"The Journal of Pathology","topic":"Cancer Genomics and Diagnostics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia; Canada's Michael Smith Genome Sciences Centre","funders":"Genome British Columbia; Canada Foundation for Innovation; Genome Canada","keywords":"Laser capture microdissection; Microdissection; Laser; Computer science; Biology; Optics; Physics; Genetics; Gene expression","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":[0.0004384577,0.0005204346,0.000394313,0.0007161874,0.0005143657,0.0005504628,0.0008287363,0.0005127472,0.006273335],"category_scores_gemma":[0.0003979315,0.0003393095,0.0004479326,0.0004831186,0.0003627372,0.0002712604,0.0006329794,0.0008375978,0.005554759],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003117417,"about_ca_system_score_gemma":0.00053801,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001302244,"about_ca_topic_score_gemma":0.003839633,"domain_scores_codex":[0.9994017,0.0000589327,0.00003162356,0.0002119368,0.0002253381,0.00007053119],"domain_scores_gemma":[0.9996513,0.0001413293,0.00004171595,0.00009697307,0.0000450539,0.00002357057],"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":[0.00002262078,0.00001385483,0.0002145422,0.00006218062,0.00001242747,0.00003608505,0.00003681316,0.0002258456,0.9849186,0.0003395552,0.0007730979,0.01334437],"study_design_scores_gemma":[0.00001383374,0.0001165611,0.005453463,0.00001169261,0.00002099599,0.0004218573,0.00002706588,0.007441248,0.9533936,0.00047874,0.0325922,0.00002872615],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.1247348,0.003338469,0.8444226,0.0005368448,0.000460759,0.0009181442,0.005052858,0.006973695,0.01356183],"genre_scores_gemma":[0.2828786,0.003077434,0.6777769,0.0006097488,0.0001614137,0.001717859,0.006396377,0.001006638,0.0263749],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.006273335,"threshold_uncertainty_score":0.02098638,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01256022875664948,"score_gpt":0.251163206606727,"score_spread":0.2386029778500776,"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."}}