{"id":"W2004703677","doi":"10.1016/j.forsciint.2009.12.024","title":"Prenatal hair development: Implications for drug exposure determination","year":2010,"lang":"en","type":"article","venue":"Forensic Science International","topic":"Hair Growth and Disorders","field":"Medicine","cited_by":60,"is_retracted":false,"has_abstract":false,"ca_institutions":"SickKids Foundation; Hospital for Sick Children","funders":"","keywords":"In utero; Hair follicle; Cabello; Hair analysis; Fetus; Medicine; Teratology; Prenatal exposure; Pregnancy; Physiology; Gestation; Biology; Endocrinology; Dermatology; Pathology","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":[0.0005542287,0.0002563203,0.000345573,0.000962937,0.0006538822,0.0007987079,0.0003628605,0.0007858793,0.004923482],"category_scores_gemma":[0.002238442,0.0001474671,0.0001849083,0.0004191991,0.0007839705,0.0007138546,0.0005255132,0.0005827659,0.0004736143],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005873073,"about_ca_system_score_gemma":0.0007664494,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005617548,"about_ca_topic_score_gemma":0.005570332,"domain_scores_codex":[0.999769,0.0000893746,0.00001392894,0.00003523171,0.00005548955,0.00003688155],"domain_scores_gemma":[0.9991297,0.0004565819,0.0001229724,0.00003923379,0.0001567951,0.00009479887],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00158282,0.0004812893,0.4590015,0.0004239143,0.00006226882,0.0196173,0.001689925,0.001117264,0.1179777,0.02003574,0.005441361,0.3725689],"study_design_scores_gemma":[0.00007296005,0.001417589,0.8327281,0.0004545129,0.0002005207,0.03945184,0.006974847,0.003778862,0.06175003,0.02022074,0.03288217,0.00006779328],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8573161,0.03217774,0.02053731,0.0189156,0.0004870634,0.0001352868,0.001382016,0.0002248031,0.06882409],"genre_scores_gemma":[0.9779528,0.01149338,0.006285869,0.0003624097,0.00008124958,0.00002314862,0.00009672193,0.00002018252,0.003684328],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005617548,"threshold_uncertainty_score":0.01647073,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01332077552616938,"score_gpt":0.3003523268885223,"score_spread":0.2870315513623529,"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."}}