{"id":"W1970229783","doi":"10.1503/cmaj.081478","title":"Age is only another number","year":2008,"lang":"en","type":"article","venue":"Canadian Medical Association Journal","topic":"Health and Conflict Studies","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Point (geometry); Data science; Library science; Medicine; Computer science; Classics; History; Mathematics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.00422547,0.000400625,0.000891294,0.0009885767,0.005576193,0.007544912,0.0007852648,0.003123427,0.0209445],"category_scores_gemma":[0.01913333,0.0003427158,0.0003971063,0.0009344082,0.007550835,0.01434571,0.005686929,0.008057867,0.005939335],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001786033,"about_ca_system_score_gemma":0.003596163,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002677337,"about_ca_topic_score_gemma":0.007604401,"domain_scores_codex":[0.9963806,0.001297582,0.0002145278,0.0003527162,0.00114697,0.000607723],"domain_scores_gemma":[0.9834252,0.00403406,0.001922737,0.0006165933,0.002710439,0.007291027],"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":[0.0002189321,0.0002044688,0.03154905,0.0006635921,0.00007575829,0.0009763856,0.05470739,0.00004954028,0.000692945,0.08222231,0.6230829,0.2055568],"study_design_scores_gemma":[0.00001318658,0.0001484012,0.01453672,0.00147094,0.00004433342,0.001515591,0.0555444,0.00002107638,0.0001254579,0.03248389,0.8940375,0.00005846389],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.03647985,0.07458095,0.001265689,0.7396458,0.02906439,0.00003357519,0.0002837924,0.00008692138,0.118559],"genre_scores_gemma":[0.4812711,0.0921896,0.001955072,0.2761559,0.02816755,0.00009434328,0.0002450147,0.0002440022,0.1196774],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.0209445,"threshold_uncertainty_score":0.07006633,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04902831047582489,"score_gpt":0.3827534180167682,"score_spread":0.3337251075409433,"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."}}