{"id":"W2154704794","doi":"10.1146/annurev.publhealth.012809.103538","title":"How Experience Gets Under the Skin to Create Gradients in Developmental Health","year":2010,"lang":"en","type":"review","venue":"Annual Review of Public Health","topic":"Early Childhood Education and Development","field":"Social Sciences","cited_by":749,"is_retracted":false,"has_abstract":true,"ca_institutions":"Sunny Hill Health Centre for Children; Learning Partnership; University of British Columbia","funders":"","keywords":"Life course approach; Early childhood; Child development; Epigenetics; Developmental psychology; Embedding; Function (biology); Psychology; Epigenesis; Biology; Computer science; Evolutionary biology; Artificial intelligence; Genetics; DNA methylation","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":[0.001059234,0.0007737166,0.001134217,0.0020523,0.0005504049,0.002205941,0.0007907791,0.002191859,0.003382951],"category_scores_gemma":[0.001601156,0.0002539912,0.0005518379,0.002037773,0.002543572,0.002309233,0.001451036,0.001785603,0.001557352],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00155383,"about_ca_system_score_gemma":0.00309031,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005154251,"about_ca_topic_score_gemma":0.006420153,"domain_scores_codex":[0.9995245,0.0002044298,0.00003424794,0.00007182515,0.0001224707,0.00004260823],"domain_scores_gemma":[0.9994854,0.0003224175,0.00004233649,0.00002039003,0.00009013911,0.00003931098],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00004794917,0.00007107578,0.0008245104,0.01145387,0.0001406294,0.0002258349,0.001311652,0.0003035452,0.001041598,0.03062269,0.02534494,0.9286118],"study_design_scores_gemma":[0.00001830118,0.0001101914,0.005480182,0.0112603,0.0001175152,0.001813542,0.001916139,0.00008008414,0.0006446671,0.02353691,0.9549747,0.00004740486],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0003217036,0.9938524,0.000289703,0.002384702,0.0002786522,0.00000788639,0.00001976919,0.000008847377,0.002836241],"genre_scores_gemma":[0.002460416,0.9961287,0.0002308432,0.0003633405,0.0001547262,0.0000107371,0.00001073726,0.000002208116,0.0006383426],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.005154251,"threshold_uncertainty_score":0.01131707,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1381117581978554,"score_gpt":0.4469684761153813,"score_spread":0.3088567179175259,"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."}}