{"id":"W1544975802","doi":"10.1002/cncy.20205","title":"The use of FTA cards for preserving unfixed cytological material for high‐throughput molecular analysis","year":2012,"lang":"en","type":"article","venue":"Cancer Cytopathology","topic":"Molecular Biology Techniques and Applications","field":"Biochemistry, Genetics and Molecular Biology","cited_by":39,"is_retracted":false,"has_abstract":true,"ca_institutions":"University Health Network; Ontario Institute for Cancer Research; University of Toronto","funders":"Canadian Institutes of Health Research","keywords":"Multiplex; DNA extraction; Elution; Polymerase chain reaction; Multiplex polymerase chain reaction; Medicine; Chromatography; Computational biology; Biology; Chemistry; Bioinformatics; Genetics; Gene","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002902296,0.0001582772,0.0002939448,0.00003880277,0.0001518697,0.00001528574,0.0003010445,0.0002964818,0.00001656329],"category_scores_gemma":[0.0001458837,0.0001181656,0.0002329025,0.0001252697,0.0002244963,0.00000478614,0.0001649415,0.0000536501,3.60538e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001699522,"about_ca_system_score_gemma":0.00004047779,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004998222,"about_ca_topic_score_gemma":0.00003785281,"domain_scores_codex":[0.998804,0.0001036261,0.0002900889,0.0003396499,0.0000553394,0.0004072783],"domain_scores_gemma":[0.9989519,0.00006011424,0.0001713119,0.0005700991,0.0001866193,0.00005996353],"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":[0.000252849,0.0000618602,0.003392873,0.00002033006,0.0002884422,6.159514e-7,0.00001149414,0.0001143534,0.9810824,0.009705042,0.003419222,0.00165047],"study_design_scores_gemma":[0.0004742785,0.0003274248,0.00357797,0.000003026151,0.0005197779,0.000009972017,0.000009869946,0.00009864529,0.7640358,0.0006671562,0.230072,0.0002041634],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7771949,0.00100254,0.219521,0.0004365869,0.0002347446,0.0007879908,0.0007768553,0.0000195253,0.00002588392],"genre_scores_gemma":[0.9772941,0.0002624308,0.01872,0.0003684491,0.00028627,0.002038583,0.0008466492,0.00002422836,0.0001593225],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2266527,"threshold_uncertainty_score":0.4818655,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0396157509029705,"score_gpt":0.3307272748414679,"score_spread":0.2911115239384974,"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."}}