{"id":"W7115034580","doi":"","title":"Integrative genomic and transcriptomic profiling of basal cell carcinoma: Comparing short- and long-read sequencing technologies","year":2025,"lang":"en","type":"dissertation","venue":"eScholarship@McGill (McGill)","topic":"Nonmelanoma Skin Cancer Studies","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; McGill University Health Centre","funders":"Lady Davis Institute for Medical Research; Western Canada Research Grid; Jewish General Hospital; Fondation de l'Hôpital général juif; Compute Canada; Cancer Research Society; Canadian Dermatology Foundation","keywords":"Transcriptome; Profiling (computer programming); DNA sequencing; Genomics; Gene expression profiling; Genome","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":[0.001010403,0.0004108319,0.0005197042,0.000755636,0.0003395684,0.001129038,0.0003894069,0.0005594083,0.001202202],"category_scores_gemma":[0.000908111,0.0002920498,0.0007622684,0.0008126698,0.0003644262,0.0004804895,0.0005335201,0.0008200981,0.0007176005],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006392791,"about_ca_system_score_gemma":0.0006311325,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001396101,"about_ca_topic_score_gemma":0.003140021,"domain_scores_codex":[0.9990909,0.0001197216,0.00003962656,0.0002664064,0.0003981663,0.00008512603],"domain_scores_gemma":[0.9995214,0.0001461232,0.00006887261,0.00005798941,0.0001458091,0.00005981964],"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":[0.0003279269,0.00004241187,0.003577404,0.0002552434,0.00007527042,0.00009252304,0.0001867119,0.0008370623,0.9789098,0.0006054326,0.0003532849,0.01473697],"study_design_scores_gemma":[0.00005364068,0.0008114759,0.06638241,0.000107575,0.0003831167,0.0007570823,0.000586605,0.0148235,0.888355,0.001878239,0.02576456,0.00009677085],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8476137,0.009087233,0.1196984,0.0007668282,0.0002675844,0.0002922704,0.01245361,0.001264,0.008556467],"genre_scores_gemma":[0.7520984,0.006921984,0.1978645,0.001492282,0.0001683036,0.000657378,0.02811692,0.0007263261,0.01195388],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001396101,"threshold_uncertainty_score":0.005343556,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02642464531541744,"score_gpt":0.2610566101497405,"score_spread":0.2346319648343231,"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."}}