{"id":"W1707707485","doi":"","title":"Mount Sinai's humble past faces the wrecking ball","year":2003,"lang":"en","type":"article","venue":"Europe PMC (PubMed Central)","topic":"History of Medical Practice","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Mount; Baby boomers; Judaism; Art history; Genealogy; History; Gerontology; Medicine; Archaeology; 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":[0.001452031,0.0004361734,0.0004359286,0.0007188555,0.01669045,0.006815245,0.0006783217,0.00392655,0.09708204],"category_scores_gemma":[0.005063755,0.0004001277,0.0002893114,0.0012367,0.005349207,0.003501317,0.003799089,0.008923428,0.0218193],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.008477801,"about_ca_system_score_gemma":0.01249751,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2957219,"about_ca_topic_score_gemma":0.6543537,"domain_scores_codex":[0.9988039,0.0001830602,0.00003089988,0.0001176064,0.0005352095,0.0003293487],"domain_scores_gemma":[0.9969664,0.0002945792,0.0001247032,0.0001855419,0.0006874843,0.001741269],"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":[0.00001762689,0.000008874334,0.0007119415,0.00002046272,0.000003206313,0.0001094687,0.0008788223,0.00001091647,0.00005781128,0.01350236,0.9697103,0.01496827],"study_design_scores_gemma":[0.000002765348,0.000003721073,0.001025589,0.00005965761,0.000001596128,0.00006065542,0.001313083,0.000008323804,0.00002639163,0.001042819,0.9964499,0.000005404936],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.005092152,0.0145151,0.0005702339,0.6236145,0.02065872,0.00001322749,0.0004137434,0.0001675759,0.3349547],"genre_scores_gemma":[0.0841421,0.01601239,0.00121598,0.1393602,0.00643078,0.00002333042,0.0003840188,0.0004123583,0.7520188],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.2957219,"threshold_uncertainty_score":0.5880012,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02743218516057122,"score_gpt":0.2476336301835136,"score_spread":0.2202014450229424,"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."}}