{"id":"W2090617906","doi":"10.1249/01.mss.0000135784.05614.15","title":"BMI IN THE OLD ORDER AMISH: RESPONSE","year":2004,"lang":"en","type":"article","venue":"Medicine & Science in Sports & Exercise","topic":"Agriculture and Farm Safety","field":"Agricultural and Biological Sciences","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Obesity; Agrarian society; Demography; Population; Gerontology; Body mass index; Agriculture; Geography; Scarcity; Medicine; Socioeconomics; Sociology; Archaeology; Economics","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":[0.002723358,0.001106668,0.001283207,0.0009692286,0.001784016,0.001957595,0.001742561,0.01533779,0.01661132],"category_scores_gemma":[0.02243081,0.0006083676,0.001068585,0.0006635816,0.001175996,0.003137902,0.002042161,0.01541131,0.007559004],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002096101,"about_ca_system_score_gemma":0.002549887,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00597565,"about_ca_topic_score_gemma":0.005167035,"domain_scores_codex":[0.9981586,0.0004547805,0.0003802397,0.0003117124,0.0004322261,0.0002624623],"domain_scores_gemma":[0.9914882,0.002860937,0.0007573788,0.0002192365,0.00347034,0.001203952],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.00003366365,0.00001382806,0.0009125053,0.0001419435,0.000008879038,0.0003431912,0.00007860187,0.0000120333,0.00005586926,0.0001104006,0.9938863,0.004402774],"study_design_scores_gemma":[0.000177754,0.0001500229,0.01164071,0.001607267,0.00006828265,0.003295852,0.002330286,0.0002691396,0.0003745466,0.001025419,0.9789195,0.0001411709],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.0009141656,0.002876961,0.0001372697,0.8802058,0.1133828,0.00007649766,0.0004690577,0.0001122661,0.001825217],"genre_scores_gemma":[0.004638332,0.00320363,0.0002370125,0.8951105,0.09174673,0.0001648192,0.000258823,0.00004572147,0.004594408],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01661132,"threshold_uncertainty_score":0.05557036,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01415093226356116,"score_gpt":0.2446787577526309,"score_spread":0.2305278254890697,"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."}}