{"id":"W2774712672","doi":"10.1002/oby.22044","title":"The Irrelevance of Getting Stronger or Weaker with Age","year":2017,"lang":"en","type":"letter","venue":"Obesity","topic":"Nutrition and Health in Aging","field":"Medicine","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Obesity; Hazard ratio; Post hoc; Demography; Medicine; Post-hoc analysis; Obesity paradox; Hazard; Interpretation (philosophy); Variety (cybernetics); Value (mathematics); Econometrics; Psychology; Gerontology; Statistics; Confidence interval; Mathematics; Computer science; Overweight; Internal medicine; Sociology","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002764697,0.0001585148,0.0003944788,0.00003598942,0.0003686388,0.00003069206,0.0001853233,0.0002375165,0.0001195192],"category_scores_gemma":[0.000089744,0.0000846033,0.00006684921,0.00003488591,0.0002187716,0.00003396335,0.00004000054,0.001332583,0.00003244164],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000597033,"about_ca_system_score_gemma":0.0001735691,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004605153,"about_ca_topic_score_gemma":0.00005929318,"domain_scores_codex":[0.9988373,0.00004730187,0.0002289835,0.0002224975,0.000348045,0.0003158818],"domain_scores_gemma":[0.9986356,0.0001766152,0.0003300376,0.0006861481,0.000115611,0.00005595406],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001353202,0.0000297328,0.008963894,0.001398431,0.00005849911,0.0009524912,0.00005087394,4.315833e-8,0.00001682868,0.00003388929,0.9871613,0.00119866],"study_design_scores_gemma":[0.0006862845,0.0001038151,0.01982134,0.001357364,0.00007879989,0.00007229075,0.00001545861,0.000005913297,0.00007991504,0.00005356156,0.9776159,0.0001093651],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.01551252,0.001015847,0.00008631097,0.9603615,0.0006427789,0.0008522786,0.00003615766,0.00007578549,0.02141677],"genre_scores_gemma":[0.03450734,0.0008611767,0.005764164,0.7581313,0.01148466,0.00008215226,0.0001870372,0.0001542281,0.188828],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.2022303,"threshold_uncertainty_score":0.5789483,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04924035691595614,"score_gpt":0.3338676479095942,"score_spread":0.2846272909936381,"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."}}