{"id":"W2919692016","doi":"10.1127/anthranz/2019/0957","title":"Indirect evidence for biological mortality bias in growth from two temporo-spatially distant samples of children","year":2019,"lang":"en","type":"article","venue":"Anthropologischer Anzeiger","topic":"Forensic Anthropology and Bioarchaeology Studies","field":"Arts and Humanities","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"Fundação para a Ciência e a Tecnologia","keywords":"Survivorship curve; Demography; Affect (linguistics); Odds; Logistic regression; Population; Gerontology; Medicine; Psychology; Internal medicine","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":"codex-gemma-dda1882f352a","candidate_categories":["sts","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.000568522,0.0003051654,0.000755976,0.0001069706,0.0002490765,0.00001713644,0.0003327359,0.0002147801,0.003865688],"category_scores_gemma":[0.0004298389,0.0002025823,0.0002112065,0.0000713565,0.02196351,0.000185063,0.0002115647,0.000313722,0.00004801599],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002836991,"about_ca_system_score_gemma":0.0000651694,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.1185982,"about_ca_topic_score_gemma":0.08340141,"domain_scores_codex":[0.9979432,0.0002426825,0.000586233,0.0005994989,0.0001531047,0.0004752622],"domain_scores_gemma":[0.998099,0.001105749,0.0002598463,0.0003349172,0.000156865,0.00004359359],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002402183,0.0001343978,0.8810897,0.00001861895,0.0002492488,0.00000478172,0.003971645,0.000001084683,0.00009491228,0.1132153,0.0007041674,0.0002759222],"study_design_scores_gemma":[0.0020965,0.001492791,0.9303544,0.0001852443,0.000142249,0.000003404799,0.02422393,0.00002534099,0.008767292,0.03038039,0.001560527,0.0007679739],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.990572,0.002549304,0.0001011812,0.003465279,0.0009593019,0.0006423265,0.0003370545,0.00006873946,0.001304854],"genre_scores_gemma":[0.9977166,0.0008553564,0.0004169323,0.000340299,0.0002971092,0.0000379363,0.0001349569,0.00001706867,0.0001837529],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08283486,"threshold_uncertainty_score":0.9970449,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2194164567048117,"score_gpt":0.3637337593375418,"score_spread":0.14431730263273,"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."}}