{"id":"W2801789287","doi":"10.1016/j.joca.2018.02.022","title":"Precision medicine, big data and machine learning in OA","year":2018,"lang":"en","type":"article","venue":"Osteoarthritis and Cartilage","topic":"Osteoarthritis Treatment and Mechanisms","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Big data; Data science; Disease; Omics; Precision medicine; Population; Computer science; Medicine; Artificial intelligence; Bioinformatics; Biology; Pathology; Data mining","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":[0.00713609,0.000551541,0.00136577,0.003138647,0.0008359895,0.005077505,0.0007338071,0.002053536,0.003344043],"category_scores_gemma":[0.01552084,0.0003190764,0.0006688391,0.003784212,0.005445395,0.005937978,0.002067892,0.003271942,0.0002949554],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002125198,"about_ca_system_score_gemma":0.002516343,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004270782,"about_ca_topic_score_gemma":0.005656172,"domain_scores_codex":[0.9976733,0.001161197,0.0002029442,0.0002253937,0.0006155167,0.0001217382],"domain_scores_gemma":[0.9812607,0.0142893,0.001983142,0.0009504093,0.0009732455,0.0005433568],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0006422155,0.0002412681,0.04943429,0.003896737,0.0009286764,0.000253969,0.0007212075,0.01345937,0.0007944959,0.255467,0.05220873,0.6219521],"study_design_scores_gemma":[0.00007061311,0.0001564193,0.02820608,0.001780638,0.0002072519,0.0003103903,0.0006143039,0.01380404,0.0004557006,0.9150506,0.0392524,0.00009167194],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.04990141,0.6605606,0.04012198,0.2202861,0.005536175,0.00006809669,0.001338642,0.0002788752,0.02190799],"genre_scores_gemma":[0.7303675,0.2013015,0.0276165,0.01928165,0.0167715,0.0001141249,0.0004791801,0.00005984061,0.004008278],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00713609,"threshold_uncertainty_score":0.03773969,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03195946993386364,"score_gpt":0.2680273079407884,"score_spread":0.2360678380069248,"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."}}