{"id":"W2082595042","doi":"10.1111/j.1600-0838.2009.00970.x","title":"Transcriptional profiling: a potential anti‐doping strategy","year":2009,"lang":"en","type":"review","venue":"Scandinavian Journal of Medicine and Science in Sports","topic":"Molecular Biology Techniques and Applications","field":"Biochemistry, Genetics and Molecular Biology","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Profiling (computer programming); Computational biology; Medicine; Chemistry; Biology; Computer science","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":[0.001217425,0.001020345,0.001668681,0.001866011,0.0003479478,0.001715762,0.001408887,0.001921676,0.003136793],"category_scores_gemma":[0.0007611713,0.000475352,0.0006547871,0.001435216,0.0009571393,0.001674356,0.00066444,0.002397644,0.002784912],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008656428,"about_ca_system_score_gemma":0.000761147,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006395619,"about_ca_topic_score_gemma":0.001082235,"domain_scores_codex":[0.9995809,0.00008364036,0.00003099682,0.00009517921,0.0001711813,0.00003808888],"domain_scores_gemma":[0.999498,0.0002641949,0.00004917643,0.00002390368,0.000130172,0.00003445181],"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":[0.0001248787,0.0001454986,0.0003764375,0.005799967,0.00006479909,0.0003990047,0.0001249514,0.0006628273,0.033414,0.01437537,0.01612565,0.9283866],"study_design_scores_gemma":[0.000021293,0.0002112749,0.001149062,0.001380565,0.00007731083,0.002066199,0.000141065,0.000596119,0.01703782,0.006083731,0.9711871,0.00004855163],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0009239495,0.9798819,0.008464736,0.00231561,0.0009318757,0.00002899985,0.00006716073,0.0001004183,0.007285479],"genre_scores_gemma":[0.005738611,0.9810739,0.005456068,0.0009245033,0.0005223242,0.00004488256,0.00009259662,0.0000127799,0.006134436],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.003136793,"threshold_uncertainty_score":0.01049358,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03494532417238746,"score_gpt":0.3593777999127056,"score_spread":0.3244324757403182,"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."}}