{"id":"W4294733363","doi":"10.3390/ijms231710200","title":"Proteomics Profiling of Osteoporosis and Osteopenia Patients and Associated Network Analysis","year":2022,"lang":"en","type":"article","venue":"International Journal of Molecular Sciences","topic":"Bone health and osteoporosis research","field":"Medicine","cited_by":30,"is_retracted":false,"has_abstract":true,"ca_institutions":"Memorial University of Newfoundland","funders":"King Faisal Specialist Hospital and Research Centre","keywords":"Osteopenia; Osteoporosis; Profiling (computer programming); Proteomics; Medicine; Computational biology; Bioinformatics; Biology; Internal medicine; Computer science; Genetics; Bone mineral","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":[0.0004682004,0.0003925794,0.0005945904,0.001499795,0.0003695679,0.0005402036,0.0002478923,0.000369852,0.001248838],"category_scores_gemma":[0.001126042,0.000140833,0.0005324051,0.001637275,0.0001348806,0.0002106698,0.0005416906,0.0002408483,0.0002318659],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002915504,"about_ca_system_score_gemma":0.0003096233,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001870337,"about_ca_topic_score_gemma":0.002414326,"domain_scores_codex":[0.9996367,0.00005448542,0.00004296358,0.0001333616,0.00006704154,0.00006539447],"domain_scores_gemma":[0.9996056,0.00007686786,0.0001563249,0.00002147073,0.00008306642,0.0000567324],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002348203,0.00015838,0.9497617,0.0003189094,0.0005966744,0.0009194565,0.0002127727,0.0008577537,0.02052296,0.000172686,0.001212094,0.02291838],"study_design_scores_gemma":[0.0000454117,0.0002818968,0.9880669,0.00003759994,0.0003949945,0.001394636,0.000239689,0.004563116,0.002513505,0.0004243262,0.002017068,0.00002084001],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9945719,0.000915441,0.0007200776,0.00008514587,0.00001338906,0.00003006139,0.003181608,0.00002322933,0.00045919],"genre_scores_gemma":[0.9919851,0.0005921292,0.001511964,0.0000743667,0.00002440371,0.00006065189,0.005310093,0.00000888981,0.0004324461],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001870337,"threshold_uncertainty_score":0.004177749,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01659238523229424,"score_gpt":0.3193472687965874,"score_spread":0.3027548835642931,"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."}}