{"id":"W2318224387","doi":"10.7202/019777ar","title":"Body Counts: Medical Quantification in Historical Perspective / La quantification médicale. Perspectives historiques et sociologiques. Edited by Gérard Jorland, Annick Opinel, George Weisz. (Montréal: McGill-Queen’s University Press, 2005. x + 401p., index. isbn 0-7735-2925-x $34.95)","year":2008,"lang":"en","type":"article","venue":"Scientia Canadensis Canadian Journal of the History of Science Technology and Medicine","topic":"Historical and modern epidemiology studies","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"George (robot); Queen (butterfly); Perspective (graphical); Humanities; Art; Art history; Cartography; Geography; Biology; Visual arts; Zoology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.003623832,0.0001422944,0.0004331917,0.001038313,0.00112184,0.000003589529,0.0008021181,0.0003554784,0.00005776863],"category_scores_gemma":[0.005829402,0.0001124712,0.00006821491,0.0009342668,0.01971373,0.0002367718,0.00005960983,0.000703013,9.791111e-7],"about_ca_system_candidate":true,"about_ca_system_consensus":true,"about_ca_system_score_codex":0.01120137,"about_ca_system_score_gemma":0.006280854,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.2203722,"about_ca_topic_score_gemma":0.08024682,"domain_scores_codex":[0.9976376,0.000448937,0.0004272095,0.0003846746,0.000669427,0.0004321564],"domain_scores_gemma":[0.9978432,0.0001952681,0.0004742667,0.0002292359,0.0007117569,0.0005462416],"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":[0.00002343358,0.00005373476,0.004645783,0.000006292451,0.00002488832,0.00005131565,0.009056269,0.000002303123,0.0002509559,0.09915899,0.8864637,0.0002623257],"study_design_scores_gemma":[0.0002902921,0.0000743856,0.002924184,0.00006380723,0.00003106538,0.00004135564,0.009227454,0.00003466714,0.00001049828,0.0008484109,0.9863352,0.0001186875],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.05920554,0.1575375,0.00105504,0.7150946,0.01612001,0.0008994872,0.0001014625,0.0001606185,0.04982578],"genre_scores_gemma":[0.9623867,0.01292001,0.0001171367,0.0006309408,0.0001402527,0.000002927164,0.000001543427,0.000009812766,0.0237907],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9031811,"threshold_uncertainty_score":0.9993526,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02520648038797284,"score_gpt":0.2710808021320957,"score_spread":0.2458743217441228,"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."}}