{"id":"W2079420003","doi":"10.1002/hed.21311","title":"Integrative molecular characterization of head and neck cancer cell model genomes","year":2009,"lang":"en","type":"article","venue":"Head & Neck","topic":"Genomic variations and chromosomal abnormalities","field":"Biochemistry, Genetics and Molecular Biology","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Centre for Applied Research in Cancer Control; University of British Columbia; BC Cancer Agency","funders":"National Institute of Dental and Craniofacial Research; Canadian Institutes of Health Research; Michael Smith Health Research BC","keywords":"Characterization (materials science); Genome; Head and neck cancer; Computational biology; Biology; Cancer; Evolutionary biology; Genetics; Nanotechnology; Gene; Materials science","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":[0.000344663,0.0005323864,0.0003863782,0.0009960609,0.0004339904,0.0005318309,0.0005677094,0.0002861693,0.002097762],"category_scores_gemma":[0.0003147415,0.0002209701,0.0005924858,0.0004777994,0.0003618599,0.0002729727,0.0004597336,0.0007798634,0.0006410858],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007848208,"about_ca_system_score_gemma":0.0003924971,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002206564,"about_ca_topic_score_gemma":0.0044963,"domain_scores_codex":[0.9997209,0.0000362662,0.00002130742,0.00008269556,0.000106949,0.00003191943],"domain_scores_gemma":[0.9997564,0.0000658876,0.00004392599,0.00006591331,0.00004588686,0.00002192289],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.00003802754,0.00002813894,0.0004356209,0.00003598346,0.00001360742,0.00003581396,0.00003334012,0.0004195661,0.9964353,0.0003629034,0.00006602176,0.002095594],"study_design_scores_gemma":[0.00001435533,0.0001652537,0.005688235,0.000006766819,0.00006953345,0.0002579173,0.00006009543,0.003957029,0.9844976,0.0002764406,0.004995527,0.0000113235],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8928253,0.001355938,0.09501195,0.0001598524,0.00003758717,0.0004117078,0.004853223,0.0008144992,0.004529919],"genre_scores_gemma":[0.8774639,0.001606883,0.09629399,0.00009608366,0.00001180486,0.0005239928,0.02013212,0.0002917649,0.003579492],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002206564,"threshold_uncertainty_score":0.007017672,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008306030653732144,"score_gpt":0.2406030716972944,"score_spread":0.2322970410435623,"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."}}