{"id":"W2314957375","doi":"10.1586/erm.12.127","title":"Theranostics: rethinking postgenomic diagnostics","year":2012,"lang":"en","type":"article","venue":"Expert Review of Molecular Diagnostics","topic":"Health, Environment, Cognitive Aging","field":"Environmental Science","cited_by":10,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University","funders":"","keywords":"Molecular diagnostics; Medicine; Computational biology; Medical physics; Biology; Bioinformatics","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.001368476,0.0003796751,0.0005463899,0.00004750171,0.0001351484,0.00001550192,0.0004918171,0.000148485,0.001906702],"category_scores_gemma":[0.005628353,0.0003622037,0.0002017122,0.000276978,0.0003062767,0.0002194409,0.0004309646,0.000357116,0.001080213],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002815112,"about_ca_system_score_gemma":0.00003306119,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009802129,"about_ca_topic_score_gemma":0.000003588707,"domain_scores_codex":[0.9967274,0.0004336222,0.0007701239,0.0005029426,0.0007676696,0.0007982197],"domain_scores_gemma":[0.9969797,0.001338605,0.000364369,0.0009034349,0.00002987141,0.0003840036],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00004762968,0.00387822,0.304026,0.007815371,0.0004776511,0.0005804364,0.01405265,0.0003517193,0.1407494,0.004661478,0.1200068,0.4033526],"study_design_scores_gemma":[0.001426533,0.0005102314,0.07813477,0.01912494,0.0006049913,0.0001476447,0.0002922903,0.0001656557,0.1312988,0.002043688,0.7634925,0.002757932],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.136801,0.8142336,0.02583547,0.002808686,0.001185322,0.002809821,0.00006440405,0.0001282546,0.01613342],"genre_scores_gemma":[0.3796389,0.5855961,0.01377922,0.02051931,0.0002011493,0.0001021321,0.00004758604,0.00009278618,0.00002283938],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.6434858,"threshold_uncertainty_score":0.999883,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01345458965327433,"score_gpt":0.2891258812309963,"score_spread":0.2756712915777219,"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."}}