{"id":"W1991465502","doi":"10.1016/j.ehb.2009.02.001","title":"Protein supply and nutritional status in nineteenth century Bavaria, Prussia and France","year":2009,"lang":"en","type":"article","venue":"Economics & Human Biology","topic":"Historical Economic and Social Studies","field":"Economics, Econometrics and Finance","cited_by":83,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"European Social Fund; University of Toronto","keywords":"Geography; Anthropometry; Population; Food supply; Socioeconomics; Demography; Agricultural economics; Archaeology; Economics","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000210669,0.0001657879,0.0005110746,0.0001447808,0.0001994932,0.00003445551,0.00009801949,0.0001670218,0.0001904412],"category_scores_gemma":[0.00002791721,0.0002072717,0.00004609107,0.00004569662,0.000209201,0.0001230955,0.0000499212,0.0001624938,0.00005333461],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001953223,"about_ca_system_score_gemma":0.00001510906,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004571647,"about_ca_topic_score_gemma":0.0001632474,"domain_scores_codex":[0.9985618,0.00001860522,0.0005571438,0.0004869137,0.00000566775,0.0003698867],"domain_scores_gemma":[0.9995333,0.00003511171,0.0002035446,0.00012025,0.000007658287,0.0001001273],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.00001249508,0.00006216972,0.227043,0.000006679546,0.00001638644,9.211869e-7,0.0003989719,0.000001714787,0.00003080198,0.7703948,0.0001468923,0.001885168],"study_design_scores_gemma":[0.001116053,0.0001778498,0.5317008,0.00000727697,0.00000194366,0.000001367973,0.00004424263,0.00006031618,0.000004557191,0.2584799,0.2081183,0.0002873668],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9766659,0.008305242,0.00004205544,0.001063923,0.0001487278,0.000265569,0.0001719517,0.00001800388,0.01331859],"genre_scores_gemma":[0.9954146,0.002988482,0.0004056869,0.0004629872,0.0001689185,0.00003238333,0.00004271322,0.00001104743,0.0004732224],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5119149,"threshold_uncertainty_score":0.8452294,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01483233575472197,"score_gpt":0.2106996941085936,"score_spread":0.1958673583538717,"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."}}