{"id":"W4316673147","doi":"10.1002/ggn2.202200024","title":"Transcriptomics for Clinical and Experimental Biology Research: Hang on a Seq","year":2023,"lang":"en","type":"review","venue":"Advanced Genetics","topic":"Cancer-related molecular mechanisms research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":29,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia; McMaster University","funders":"National Institute on Aging; British Heart Foundation","keywords":"Transcriptome; Computational biology; Biology; RNA-Seq; RNA; Gene; DNA microarray; Deep sequencing; Long non-coding RNA; Genome; Genetics; Gene expression","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0009514205,0.0004423638,0.0009489503,0.0002509223,0.0001802377,0.00004117653,0.0005012326,0.001054776,0.00000640125],"category_scores_gemma":[0.0003745394,0.0004293868,0.0004896156,0.0002828349,0.000431155,0.000001907311,0.0003494307,0.0006987068,0.00004000121],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006504678,"about_ca_system_score_gemma":0.0004050252,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002167146,"about_ca_topic_score_gemma":0.00001023212,"domain_scores_codex":[0.9965463,0.0004949834,0.0006834143,0.001251042,0.0002511863,0.0007730332],"domain_scores_gemma":[0.9983723,0.0002542367,0.0001397908,0.0008134773,0.0001743398,0.000245811],"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":[0.0002555022,0.00013456,2.729048e-7,0.002225419,0.0004464504,0.00001092268,0.00002919318,0.00003583968,0.01857593,0.0004526365,0.002098034,0.9757352],"study_design_scores_gemma":[0.0009553998,0.002424372,1.412142e-7,0.0008851277,0.00009910809,0.00001526205,0.000042216,0.00003602868,0.01642658,0.0003076461,0.9783924,0.000415743],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0002088475,0.9933723,0.002997453,0.00002937154,0.0006296868,0.002273304,0.0003553703,0.00003106887,0.0001026341],"genre_scores_gemma":[0.00008369308,0.9935301,0.002978234,0.00008571098,0.0006158512,0.0009115383,0.0007506396,0.0002363026,0.0008079534],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9762943,"threshold_uncertainty_score":0.9998158,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3445716322034054,"score_gpt":0.5628769272925059,"score_spread":0.2183052950891005,"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."}}