{"id":"W2546714417","doi":"10.3945/ajcn.116.133538","title":"Linear growth trajectories in Zimbabwean infants","year":2016,"lang":"en","type":"article","venue":"American Journal of Clinical Nutrition","topic":"Child Nutrition and Water Access","field":"Nursing","cited_by":22,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia; McGill University","funders":"Wellcome Trust; Wellcome; Bill and Melinda Gates Foundation","keywords":"Linear growth; Mathematics; Applied mathematics","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":[0.0007416631,0.0003245967,0.0002300792,0.0007455563,0.000557237,0.0006936193,0.0004087702,0.0002685397,0.001047438],"category_scores_gemma":[0.003169523,0.0002217022,0.0003436761,0.00112297,0.000251601,0.0003567492,0.0009343539,0.00047006,0.0001750672],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001352196,"about_ca_system_score_gemma":0.0009450467,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1542306,"about_ca_topic_score_gemma":0.1060206,"domain_scores_codex":[0.99967,0.00008502093,0.00002243463,0.00006676368,0.00004654792,0.0001092287],"domain_scores_gemma":[0.9995198,0.00008331459,0.0002068698,0.00003688181,0.00009081682,0.00006228897],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00008670209,0.00001364081,0.9934476,0.00002376392,0.00004233178,0.0001426099,0.0007929519,0.0003057484,0.0003009941,0.0001004119,0.0002845288,0.004458656],"study_design_scores_gemma":[0.000002974243,0.00003051041,0.9984327,0.00001962332,0.0000106004,0.00006937071,0.0002947531,0.0007078205,0.00003843728,0.00006402234,0.0003256697,0.000003536184],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9980412,0.0003591705,0.0001704696,0.0001491495,0.000001832843,0.00001449159,0.00100267,0.000007557726,0.0002535525],"genre_scores_gemma":[0.9984138,0.0002540352,0.0002446058,0.00002190469,0.00000107411,0.00003188323,0.000860128,0.000002991696,0.0001695494],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1542306,"threshold_uncertainty_score":0.3066657,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03046685519717795,"score_gpt":0.3660392695102697,"score_spread":0.3355724143130917,"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."}}