{"id":"W2943637588","doi":"10.1101/622050","title":"TimeTeller: a New Tool for Precision Circadian Medicine and Cancer Prognosis","year":2019,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Circadian rhythm and melatonin","field":"Neuroscience","cited_by":20,"is_retracted":false,"has_abstract":true,"ca_institutions":"Health Sciences Centre; Sunnybrook Health Science Centre","funders":"Biotechnology and Biological Sciences Research Council; Engineering and Physical Sciences Research Council; University of Warwick; Directorate for Biological Sciences; Institut National de la Santé et de la Recherche Médicale; Cancer Research UK","keywords":"Circadian rhythm; Circadian clock; Breast cancer; Biomarker; Metric (unit); Cancer; Internal medicine; Precision medicine; Oncology; Medicine; Disease; Bioinformatics; Computational biology; Biology; Pathology; Engineering","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":[0.002400316,0.0008758056,0.0008668119,0.001956922,0.0003712545,0.001996421,0.0008379646,0.000951618,0.005632308],"category_scores_gemma":[0.009345355,0.0003623235,0.000577982,0.001375734,0.0009367106,0.001993553,0.00135789,0.00166547,0.001936607],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006446722,"about_ca_system_score_gemma":0.0007341316,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008201794,"about_ca_topic_score_gemma":0.0007235128,"domain_scores_codex":[0.9991053,0.0003392374,0.0000643906,0.0002235972,0.0002352219,0.00003226044],"domain_scores_gemma":[0.9969167,0.001504477,0.0006319692,0.0005380205,0.000232869,0.0001760323],"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":[0.0007816146,0.000141094,0.01386244,0.0003492793,0.0002773675,0.0002151328,0.0002714605,0.107215,0.01975771,0.0874736,0.02454923,0.7451061],"study_design_scores_gemma":[0.0001070337,0.0001438143,0.004725629,0.0001007852,0.00005156781,0.0003697145,0.00005677757,0.7666396,0.01570387,0.1826409,0.02934012,0.0001202344],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"software","genre_scores_codex":[0.008180317,0.000852828,0.9816559,0.001016161,0.0002430949,0.00002967895,0.0005354406,0.006340083,0.001146458],"genre_scores_gemma":[0.1864831,0.0008211553,0.8074985,0.0003679844,0.0003578872,0.0001316055,0.0006689055,0.001031987,0.002638916],"genre_candidate":"software","genre_consensus":null,"teacher_disagreement_score":0.005632308,"threshold_uncertainty_score":0.01884198,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03607111799214102,"score_gpt":0.2650357469693496,"score_spread":0.2289646289772086,"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."}}