{"id":"W1999481780","doi":"10.1038/clpt.2013.57","title":"Biomarkers for Smoking Cessation","year":2013,"lang":"en","type":"review","venue":"Clinical Pharmacology & Therapeutics","topic":"Adipose Tissue and Metabolism","field":"Medicine","cited_by":51,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"National Institutes of Health; National Cancer Institute; National Institute on Drug Abuse; National Institute of Environmental Health Sciences; Canadian Institutes of Health Research; Pfizer","keywords":"Drug development; Biomarker; Biomarker discovery; Identification (biology); Medicine; Disease; Drug discovery; Regulatory science; Pharmacodynamics; Smoking cessation; Computational biology; Personalized medicine; Bioinformatics; Drug; Pharmacology; Biology; Pathology; Pharmacokinetics; Proteomics","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":[0.0009241636,0.0009424561,0.001163646,0.002285937,0.0003069888,0.0008990027,0.0006089145,0.001448746,0.005092449],"category_scores_gemma":[0.001114164,0.0002199534,0.00060407,0.001243271,0.0005671251,0.001078519,0.0007033334,0.002382565,0.003104841],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006050706,"about_ca_system_score_gemma":0.0009957985,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001120954,"about_ca_topic_score_gemma":0.002186351,"domain_scores_codex":[0.9997192,0.00006863933,0.00003696115,0.00004941215,0.0001085042,0.00001737468],"domain_scores_gemma":[0.9996545,0.0001651,0.00004959458,0.00001434672,0.00009337329,0.00002300613],"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":[0.00004773861,0.00008619969,0.0004465942,0.005505307,0.00009705602,0.0001613086,0.00005356274,0.0001623951,0.001921897,0.009133083,0.0280918,0.954293],"study_design_scores_gemma":[0.00001626052,0.0001053579,0.002193383,0.004469862,0.0001161884,0.00149582,0.00006019289,0.0001298679,0.0009649627,0.007253265,0.9831663,0.00002852053],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0001375261,0.995767,0.0004944823,0.001087092,0.0004626391,0.00001005003,0.00004041705,0.0000131635,0.001987595],"genre_scores_gemma":[0.001853833,0.9942399,0.0009529035,0.0006751532,0.0004735388,0.00002160877,0.00007253571,0.000002685218,0.001707853],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.005092449,"threshold_uncertainty_score":0.0170359,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3310320414159591,"score_gpt":0.541898029911326,"score_spread":0.2108659884953669,"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."}}