{"id":"W2045445030","doi":"10.1016/j.clinbiochem.2012.03.003","title":"Genomics, personalized medicine and cancer practice","year":2012,"lang":"en","type":"article","venue":"Clinical Biochemistry","topic":"Cancer Genomics and Diagnostics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":15,"is_retracted":false,"has_abstract":false,"ca_institutions":"Queen's University; Ontario Institute for Cancer Research","funders":"","keywords":"Personalized medicine; Precision medicine; Clinical Practice; Medicine; Best practice; Health care; Genomic medicine; Alternative medicine; Genomics; MEDLINE; Cancer Medicine; Drug development; Cancer; Family medicine; Drug; Bioinformatics; Internal medicine; Pharmacology; Pathology; Computational biology","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":[0.006262135,0.0003449121,0.0006351204,0.001232545,0.0009748827,0.004729397,0.0005501788,0.004882497,0.004685717],"category_scores_gemma":[0.008482773,0.0002665803,0.000203846,0.00114269,0.007810873,0.004609404,0.002381467,0.003736909,0.000605737],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002958101,"about_ca_system_score_gemma":0.005111535,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002507701,"about_ca_topic_score_gemma":0.003064522,"domain_scores_codex":[0.9968445,0.002127926,0.0001146107,0.0002412567,0.0005033029,0.0001684828],"domain_scores_gemma":[0.9952389,0.003327242,0.0003370752,0.0002340892,0.0003203974,0.000542234],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001425608,0.0003306717,0.01146562,0.001010032,0.00008830042,0.0006124029,0.002539395,0.001385477,0.001403349,0.6870316,0.05646081,0.2375298],"study_design_scores_gemma":[0.00004706199,0.00009967548,0.009916875,0.000700195,0.00003361144,0.0008982386,0.002425104,0.0006639942,0.0004703187,0.8335208,0.151186,0.00003797978],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"review","genre_scores_codex":[0.01773181,0.2147892,0.01013721,0.6959424,0.00278419,0.00003712648,0.0001252443,0.000108989,0.05834378],"genre_scores_gemma":[0.609643,0.1976771,0.01543017,0.1502705,0.01398144,0.0001451984,0.000147539,0.00005566904,0.0126495],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.006262135,"threshold_uncertainty_score":0.03311777,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04343146323975772,"score_gpt":0.393488445982239,"score_spread":0.3500569827424813,"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."}}