{"id":"W2103932319","doi":"10.1017/s0959774308000516","title":"Ancient Health: Skeletal Indicators of Agricultural and Economic Intensification, edited by Mark Nathan Cohen & Gillian M.M. Crane-Kramer, 2007. Gainesville (FL): University Press of Florida. (Bioarchaeological Interpretations of the Human Past: Local, Regional, and Global Perspectives.) ISBN-13 978-0-8130-3082-1 hardback £48.00 & $75.00; xvii+432 pp., 80 b&w ills.","year":2008,"lang":"en","type":"article","venue":"Cambridge Archaeological Journal","topic":"Health and Conflict Studies","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Human health; Agriculture; History; Bioarchaeology; Environmental ethics; Gerontology; Philosophy; Archaeology; Medicine; Environmental health","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001022486,0.002017689,0.0006737239,0.004283444,0.0006002371,0.002562925,0.001057226,0.001174605,0.03095378],"category_scores_gemma":[0.001727365,0.0008288015,0.000393803,0.007136086,0.001923355,0.003620242,0.001745138,0.00156246,0.01057792],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001868048,"about_ca_system_score_gemma":0.002503786,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03546544,"about_ca_topic_score_gemma":0.07631204,"domain_scores_codex":[0.9996063,0.0001179613,0.00003451846,0.00004585801,0.0001669809,0.0000284379],"domain_scores_gemma":[0.999568,0.0001576782,0.00007018499,0.00002593041,0.0001208747,0.00005728065],"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":[0.00003901854,0.00001648152,0.001165544,0.0009398565,0.00002203583,0.00005914576,0.001091778,0.0001141421,0.0002925824,0.004330358,0.6989109,0.2930182],"study_design_scores_gemma":[0.000009242097,0.00002199745,0.01200874,0.002185314,0.00001857034,0.0005031502,0.002729554,0.00008545827,0.0002043414,0.007430524,0.9747773,0.00002573986],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.001686638,0.930096,0.001242523,0.02014295,0.003618615,0.00003144543,0.001797947,0.00008653371,0.04129737],"genre_scores_gemma":[0.01838742,0.8461052,0.005699277,0.00346587,0.003033135,0.00008222541,0.001847498,0.0001142051,0.1212652],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.03546544,"threshold_uncertainty_score":0.1035507,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04252114132893275,"score_gpt":0.317815688594193,"score_spread":0.2752945472652603,"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."}}