{"id":"W2940110937","doi":"10.1016/j.aimed.2019.03.220","title":"Broad spectrum micronutrient supplementation for irritability, inattention and post-disaster stress","year":2019,"lang":"en","type":"article","venue":"Advances in Integrative Medicine","topic":"Fuzzy Logic and Control Systems","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Irritability; Fuzzy logic; Control (management); Mathematical optimization; Mathematics; Object (grammar); Optimal control; Stability (learning theory); Computer science; Control theory (sociology); Artificial intelligence; Medicine; Anxiety","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":[0.0001548121,0.0002818814,0.0004818414,0.0001473806,0.0002793305,0.0001393066,0.0001673563,0.0002796177,0.001558044],"category_scores_gemma":[0.0003751095,0.00008069239,0.00025819,0.0001072333,0.000156962,0.00008690022,0.000294528,0.0004680534,0.00008539551],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000245836,"about_ca_system_score_gemma":0.0004141104,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002348844,"about_ca_topic_score_gemma":0.00658994,"domain_scores_codex":[0.9999493,0.00001654931,0.000007537765,0.000007133013,0.00000677962,0.00001267886],"domain_scores_gemma":[0.9999126,0.00001969046,0.00002331266,0.000004669851,0.00001129088,0.00002827352],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.2278897,0.01797878,0.02847545,0.004368258,0.002121806,0.0007262297,0.0006309905,0.001122626,0.1649467,0.0002988151,0.003653119,0.5477875],"study_design_scores_gemma":[0.03345158,0.3174934,0.5615095,0.002243679,0.005543572,0.001392247,0.002820704,0.003156188,0.04787664,0.001340089,0.02305561,0.0001167391],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9859795,0.01178072,0.0003445508,0.0005062096,0.0001391352,0.0001029562,0.0001278312,0.00002707701,0.0009919669],"genre_scores_gemma":[0.9913064,0.006099705,0.0008354165,0.0002263464,0.00004571048,0.0001323075,0.00009977443,0.000003411288,0.001250813],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002348844,"threshold_uncertainty_score":0.005212128,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006463958733194229,"score_gpt":0.2787498020552693,"score_spread":0.2722858433220751,"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."}}