{"id":"W4391529791","doi":"10.1038/s41598-024-52323-w","title":"Multimodal machine learning for modeling infant head circumference, mothers’ milk composition, and their shared environment","year":2024,"lang":"en","type":"article","venue":"Scientific Reports","topic":"Nutritional Studies and Diet","field":"Medicine","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Children's Hospital of Winnipeg; University of British Columbia; University of Alberta; University of Manitoba; Children's Hospital Research Institute of Manitoba; McMaster University; SickKids Foundation; BC Children's Hospital; Dalhousie University; University of Toronto; Research Manitoba","funders":"Canadian Institutes of Health Research; National Institutes of Health; National Institute of General Medical Sciences; Reseau canadien de recherche respiratoire; Hospital for Sick Children; Canada Research Chairs; Bill and Melinda Gates Foundation; Manitoba Medical Service Foundation; Research Manitoba; Bundesministerium für Bildung und Forschung","keywords":"Head circumference; Composition (language); Head (geology); Computer science; Circumference; Artificial intelligence; Medicine; Biology; Pregnancy; Mathematics; Birth weight; Art; Genetics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002289933,0.0008762188,0.0005928969,0.0008772358,0.0003356105,0.0006860884,0.000794537,0.0006693486,0.001394804],"category_scores_gemma":[0.004181823,0.0003108762,0.0009737205,0.0007105393,0.0002838544,0.0003903386,0.0006874085,0.001001022,0.0003550295],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005781587,"about_ca_system_score_gemma":0.0006890397,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01174122,"about_ca_topic_score_gemma":0.007676013,"domain_scores_codex":[0.9994967,0.0002784924,0.00002085307,0.0001108914,0.00003880374,0.00005422148],"domain_scores_gemma":[0.9983736,0.001274948,0.0001365302,0.00007223462,0.0001052446,0.00003743101],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0003685195,0.0002969895,0.0625326,0.00008130897,0.0006195145,0.0001411564,0.0001201877,0.8106649,0.001855383,0.001827881,0.00142129,0.1200703],"study_design_scores_gemma":[0.00000347029,0.00002207369,0.002106046,0.000004888753,0.00001287797,0.00001094787,0.00001216605,0.996676,0.0001219623,0.0009272439,0.00009852858,0.000003850615],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4330667,0.001626816,0.559396,0.0009246019,0.0001004305,0.0001309091,0.00160013,0.00134477,0.001809597],"genre_scores_gemma":[0.9548027,0.0002348683,0.04243738,0.0001305642,0.00004795274,0.0001607571,0.001006499,0.00003404187,0.00114531],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01174122,"threshold_uncertainty_score":0.02334577,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02762054120813649,"score_gpt":0.2680789572296892,"score_spread":0.2404584160215527,"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."}}