{"id":"W407553198","doi":"10.1385/nmm:3:1:41","title":"NF2 Tumor Suppressor Gene: A Comprehensive and Efficient Detection of Somatic Mutations by Denaturing HPLC and Microarray-CGH","year":2003,"lang":"en","type":"article","venue":"NeuroMolecular Medicine","topic":"Neurofibromatosis and Schwannoma Cases","field":"Medicine","cited_by":14,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University; Montreal General Hospital","funders":"Canadian Institutes of Health Research; Universidad de Buenos Aires","keywords":"Denaturing high performance liquid chromatography; Biology; Neurofibromatosis type 2; Mutation; Gene; Meningioma; Neurofibromatosis; Comparative genomic hybridization; Microarray; Gene mutation; Point mutation; Germline mutation; Somatic cell; Tumor suppressor gene; Genetics; Molecular biology; Cancer research; Chromosome; Carcinogenesis; Pathology; Gene expression; Medicine","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":[0.0004476496,0.0007689558,0.0005225739,0.001081185,0.0004077902,0.0003194876,0.0003921019,0.0004449927,0.001209609],"category_scores_gemma":[0.0006223432,0.0004035683,0.0003170309,0.0005750051,0.000334438,0.0002643354,0.0003337064,0.0006623761,0.000792518],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002568754,"about_ca_system_score_gemma":0.0003190223,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001495544,"about_ca_topic_score_gemma":0.003137427,"domain_scores_codex":[0.9995309,0.00007906093,0.00003426672,0.0001362943,0.0001402137,0.00007924528],"domain_scores_gemma":[0.9997522,0.00009781969,0.00002163731,0.00004616491,0.00005668966,0.0000253318],"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":[0.00005548518,0.00003167954,0.0006526767,0.00002271598,0.000006561579,0.00004970919,0.00001643353,0.00007943923,0.9944434,0.00004379944,0.0001422554,0.004455911],"study_design_scores_gemma":[0.00001543496,0.0002208304,0.02149637,0.000005052217,0.0000596932,0.001168863,0.00003803599,0.002629414,0.970385,0.0001960624,0.003769768,0.00001555116],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6624508,0.002508551,0.3140285,0.0007167401,0.0001069665,0.0008383042,0.007374791,0.004057536,0.007917702],"genre_scores_gemma":[0.6993989,0.001469031,0.2788097,0.0003671836,0.00006630394,0.001107003,0.01161968,0.0004148219,0.00674745],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001495544,"threshold_uncertainty_score":0.004046559,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01069616618033464,"score_gpt":0.2355186892973009,"score_spread":0.2248225231169662,"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."}}