{"id":"W2325939998","doi":"10.1158/1538-7445.am2013-3157","title":"Abstract 3157: Loss of heterozygosity as a molecular ‘second hit’ In familial pancreatic cancer.","year":2013,"lang":"en","type":"article","venue":"Cancer Research","topic":"Pancreatic and Hepatic Oncology Research","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University Health Network; Lunenfeld-Tanenbaum Research Institute","funders":"","keywords":"Loss of heterozygosity; Copy number analysis; Pancreatic cancer; Biology; Genetics; CDKN2A; Comparative genomic hybridization; Microdissection; SNP array; Molecular Inversion Probe; Copy-number variation; Carcinogenesis; Laser capture microdissection; Locus (genetics); Allele; Molecular biology; Cancer research; Gene; Cancer; Genome; Single-nucleotide polymorphism; Genotype","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":[0.000377787,0.000370792,0.0002723755,0.00128381,0.0003344555,0.0003005797,0.0002367481,0.0004734319,0.003492135],"category_scores_gemma":[0.0007237152,0.0001754941,0.0002470771,0.0006372241,0.0003303133,0.0001587273,0.0002658044,0.0002765157,0.0005676194],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002144841,"about_ca_system_score_gemma":0.0001829314,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006104966,"about_ca_topic_score_gemma":0.0006771919,"domain_scores_codex":[0.9997334,0.00004347414,0.00002268968,0.00008263344,0.00007328965,0.00004450905],"domain_scores_gemma":[0.9996523,0.0001029857,0.0001238941,0.00002479788,0.00002883433,0.00006712319],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.002736955,0.000205378,0.7196326,0.0002715432,0.0002436771,0.04711701,0.0004142048,0.0009105395,0.1900528,0.0009169685,0.002609507,0.03488887],"study_design_scores_gemma":[0.00008085466,0.000708984,0.8304242,0.0000431817,0.0002992296,0.1221105,0.0002067181,0.002508293,0.03864874,0.0007220745,0.004219525,0.00002771291],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9959872,0.0008197842,0.001102011,0.000107057,0.00001216894,0.00001716996,0.0003275641,0.00004471801,0.001582431],"genre_scores_gemma":[0.9984748,0.000116135,0.0005349199,0.00003423436,0.00001793577,0.000008519803,0.0003083962,0.000008490935,0.0004965288],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003492135,"threshold_uncertainty_score":0.01168239,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06847872152337109,"score_gpt":0.43778679587973,"score_spread":0.3693080743563589,"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."}}