{"id":"W3108205863","doi":"10.1002/oa.2942","title":"Interpolation of the Maresh diaphyseal length data for use in quantitative analyses of growth","year":2020,"lang":"en","type":"article","venue":"International Journal of Osteoarchaeology","topic":"Forensic Anthropology and Bioarchaeology Studies","field":"Arts and Humanities","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"Natural Sciences and Engineering Research Council of Canada; Mitacs; Simon Fraser University; John Templeton Foundation","keywords":"Standard deviation; Statistics; Mathematics; Rounding; Standard score; Standard error; Estimation; Magnification; Medicine; Computer science","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0002527875,0.00008777325,0.0003179276,0.0001761569,0.00004069601,0.000003944993,0.0007661689,0.00004583258,0.00009347286],"category_scores_gemma":[0.001067086,0.00005670475,0.0001264259,0.00004773003,0.008484789,0.0002640565,0.0005011976,0.0001716823,5.731818e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001275056,"about_ca_system_score_gemma":0.00006562531,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00146363,"about_ca_topic_score_gemma":0.01293912,"domain_scores_codex":[0.9988541,0.0001481101,0.0005920127,0.0001229456,0.0001770201,0.0001058071],"domain_scores_gemma":[0.9976033,0.0007779192,0.0006380184,0.0001134457,0.0008461811,0.00002114895],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"qualitative","study_design_scores_codex":[0.00296101,0.0001325546,0.1651187,0.00005099016,0.001115447,0.00002244279,0.04523908,0.00003336889,0.0006567415,0.7815346,0.002194747,0.0009402854],"study_design_scores_gemma":[0.02501656,0.02288109,0.225064,0.001395181,0.001786063,0.0003868408,0.4237151,0.02449625,0.03009992,0.2120849,0.03153158,0.001542469],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9425513,0.0005876043,0.002224572,0.05142563,0.001980402,0.0002049188,0.0007403292,0.000004612851,0.0002805926],"genre_scores_gemma":[0.9976348,0.00008623741,0.001625236,0.000376145,0.0002165444,0.000001544312,0.00002641484,0.000005474169,0.000027585],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5694497,"threshold_uncertainty_score":0.9942135,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2502088726716798,"score_gpt":0.3913376277356121,"score_spread":0.1411287550639323,"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."}}