{"id":"W4310346277","doi":"10.3177/jnsv.68.s113","title":"Tripeptide IRW (Ile-Arg-Trp) as a Potential Nutraceutical Intervention in Osteoporosis","year":2022,"lang":"en","type":"article","venue":"Journal of Nutritional Science and Vitaminology","topic":"Bone Metabolism and Diseases","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"RANKL; Bone resorption; Cathepsin K; Osteoporosis; Cancer research; Chemistry; Medicine; Activator (genetics); Internal medicine; Endocrinology; Osteoclast; Cell biology; Receptor; Biology","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006957618,0.00007573467,0.0001443775,0.0002477099,0.0001795171,0.00002564819,0.0002242417,0.00004971425,0.00009922038],"category_scores_gemma":[0.0002157087,0.00007154475,0.00009520436,0.0002268204,0.0003738943,0.00002625175,0.0001812443,0.0001636693,0.00000177649],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003660941,"about_ca_system_score_gemma":0.0002138338,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001331037,"about_ca_topic_score_gemma":0.000005455786,"domain_scores_codex":[0.9988146,0.0001007633,0.000304614,0.0001949389,0.0003752396,0.0002098354],"domain_scores_gemma":[0.999485,0.00001733493,0.000137118,0.00007709288,0.000170583,0.0001128483],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.001288907,0.001893639,0.01282756,0.00002850002,0.00002987859,0.0001852496,0.00008093331,0.00007526754,0.9601102,0.002995325,0.002387901,0.01809668],"study_design_scores_gemma":[0.0142432,0.006339525,0.8173785,0.00007894601,0.0001466554,0.008413753,0.005471997,0.0001953211,0.05608955,0.02029034,0.07070745,0.0006447803],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9942259,0.004161684,0.0000631655,0.001099693,0.0002652683,0.00006700118,0.00002817796,0.000001659549,0.00008743357],"genre_scores_gemma":[0.9986315,0.0004410007,0.0002799697,0.0004028995,0.0001750603,0.00001152927,0.00001397763,0.000003797575,0.00004022325],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9040206,"threshold_uncertainty_score":0.2917511,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009236060403986347,"score_gpt":0.2731901166693251,"score_spread":0.2639540562653387,"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."}}