{"id":"W2322231021","doi":"10.4161/pri.27729","title":"Microdissection and transcriptional profiling","year":2014,"lang":"en","type":"article","venue":"Prion","topic":"Prion Diseases and Protein Misfolding","field":"Biochemistry, Genetics and Molecular Biology","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Science Centre for Human and Animal Health; University of Manitoba; Public Health Agency of Canada","funders":"","keywords":"Laser capture microdissection; Biology; Microdissection; Disease; microRNA; Neuroscience; Population; Transcriptome; Gene expression profiling; Gene expression; Gene; Computational biology; Genetics; Pathology; Medicine","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":[0.0004711823,0.0004725951,0.000577982,0.001307412,0.0005354561,0.0008710332,0.0004721154,0.0006093595,0.002104042],"category_scores_gemma":[0.0004870686,0.0002296621,0.0004424806,0.001423011,0.0005037349,0.0003251359,0.000500001,0.001080926,0.003170409],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003298935,"about_ca_system_score_gemma":0.0004748122,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007388808,"about_ca_topic_score_gemma":0.001751088,"domain_scores_codex":[0.9993421,0.00004341562,0.00003943451,0.0002672032,0.0002497465,0.00005812324],"domain_scores_gemma":[0.9997295,0.00009529717,0.00004662529,0.00003855321,0.00007101146,0.00001905591],"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":[0.00005444143,0.00001795802,0.0006210557,0.0003859937,0.00002537382,0.0001920158,0.0001338397,0.0002744792,0.9697262,0.001126305,0.0009712231,0.02647108],"study_design_scores_gemma":[0.00002160069,0.000260501,0.02315185,0.0001277802,0.0001089623,0.001878239,0.0002525595,0.002970279,0.8248063,0.00264825,0.1437018,0.00007183714],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.1831664,0.03784014,0.7200667,0.001350992,0.001012259,0.001469736,0.02216988,0.003778932,0.02914497],"genre_scores_gemma":[0.3647658,0.06192704,0.4920715,0.002105892,0.0005991948,0.00522064,0.03339368,0.001166997,0.03874923],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.002104042,"threshold_uncertainty_score":0.007038713,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004761494087586807,"score_gpt":0.2152394619113042,"score_spread":0.2104779678237174,"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."}}