{"id":"W2086372487","doi":"10.1136/ewjm.172.6.363","title":"The high price of aging","year":2000,"lang":"en","type":"article","venue":"Western Journal of Medicine","topic":"Global Health Care Issues","field":"Health Professions","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001095134,0.0003499555,0.0003783397,0.0005523805,0.002871874,0.003431895,0.0003895045,0.003265627,0.05024537],"category_scores_gemma":[0.007245937,0.0001568794,0.000305268,0.0004757237,0.001343826,0.003281807,0.001439404,0.003789813,0.01366755],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001624196,"about_ca_system_score_gemma":0.001733232,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008720836,"about_ca_topic_score_gemma":0.01278841,"domain_scores_codex":[0.9992729,0.0001271675,0.0000298627,0.00006923674,0.0003812705,0.0001195143],"domain_scores_gemma":[0.9978518,0.0003782042,0.0001120838,0.0001324685,0.0004917119,0.001033708],"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":[0.0000584859,0.00001988238,0.0009359534,0.00003315539,0.000009201101,0.0001949257,0.000146351,0.00002526639,0.0002766637,0.01491147,0.9186229,0.06476568],"study_design_scores_gemma":[0.00001228498,0.00003980295,0.002350744,0.0001368462,0.000005771125,0.0004617701,0.000333511,0.00003757526,0.00008379942,0.00312869,0.9933991,0.00001015072],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.01735223,0.04864625,0.0008182633,0.5888137,0.0569704,0.00002565569,0.0008505638,0.0003701929,0.2861527],"genre_scores_gemma":[0.1741153,0.04082872,0.001557857,0.3304687,0.0485274,0.00005302897,0.0009334037,0.0003377664,0.4031778],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.05024537,"threshold_uncertainty_score":0.1680875,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04451120968193661,"score_gpt":0.4546318711552984,"score_spread":0.4101206614733618,"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."}}