{"id":"W2049776111","doi":"10.1002/ajpa.21540","title":"Brief communication: The relation between standard error of the estimate and sample size of histomorphometric aging methods","year":2011,"lang":"en","type":"article","venue":"American Journal of Physical Anthropology","topic":"Forensic Anthropology and Bioarchaeology Studies","field":"Arts and Humanities","cited_by":22,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Saskatchewan","funders":"","keywords":"Statistics; Sample size determination; Standard error; Range (aeronautics); Confidence interval; Variable (mathematics); Mathematics; Standard deviation; Sampling (signal processing); Sample (material); Population; Value (mathematics); Sampling error; Econometrics; Observational error; Demography; Computer science; Sociology; Telecommunications; Mathematical analysis","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":[0.02997749,0.001241247,0.001536299,0.004078364,0.001152933,0.003364924,0.001591025,0.004631869,0.0324368],"category_scores_gemma":[0.1991967,0.000980663,0.0006517659,0.002773093,0.002005879,0.004239835,0.002474289,0.004386083,0.01618529],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001689656,"about_ca_system_score_gemma":0.001567619,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007240647,"about_ca_topic_score_gemma":0.000667645,"domain_scores_codex":[0.965728,0.0158663,0.003224408,0.003826993,0.01089289,0.0004614371],"domain_scores_gemma":[0.7736874,0.1840618,0.01295833,0.004350203,0.02347063,0.001471716],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0006368246,0.00006542786,0.004154464,0.003506859,0.0001483558,0.0003671513,0.0007349034,0.0004896437,0.002537716,0.0104252,0.501941,0.4749925],"study_design_scores_gemma":[0.0001278972,0.001286924,0.02149236,0.005085055,0.0003648486,0.005152499,0.0006736186,0.001936445,0.00917669,0.02875966,0.9256439,0.0003000298],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.01336103,0.3594817,0.1765114,0.1953564,0.2025455,0.001231191,0.005285116,0.002437541,0.04379025],"genre_scores_gemma":[0.1302207,0.2878461,0.1570393,0.07772947,0.2494371,0.003692225,0.007530889,0.003279805,0.08322447],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0324368,"threshold_uncertainty_score":0.158538,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05121641626288616,"score_gpt":0.3480959517331294,"score_spread":0.2968795354702433,"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."}}