{"id":"W2015548835","doi":"10.5402/2012/504168","title":"Inadequate Nutrient Intakes in Youth of a Remote First NationCommunity: Challenges and the Need for Sustainable Changes inProgram and Policy","year":2012,"lang":"en","type":"article","venue":"ISRN Public Health","topic":"Obesity, Physical Activity, Diet","field":"Medicine","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"Ontario Ministry of Research and Innovation; Canadian Institutes of Health Research; Danone Institute of Canada; Health Canada; Instituto Danone; Danone; Heart and Stroke Foundation of Canada","keywords":"Algorithm; Machine learning; Artificial intelligence; Mathematics; Computer science","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"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":[0.003410918,0.0003591962,0.000614945,0.0006114303,0.00595742,0.003394857,0.002128268,0.001209832,0.00322001],"category_scores_gemma":[0.003579325,0.0001933141,0.0003338283,0.001253093,0.003151303,0.001235479,0.003186866,0.001862481,0.0003181609],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01692802,"about_ca_system_score_gemma":0.06784665,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8450525,"about_ca_topic_score_gemma":0.9401616,"domain_scores_codex":[0.9978066,0.0005885269,0.00006317198,0.0002229321,0.0004334029,0.0008853629],"domain_scores_gemma":[0.9959592,0.0004067872,0.0004684375,0.00009670157,0.001171436,0.001897422],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003422609,0.0008907118,0.6642737,0.002684804,0.0002287731,0.002026776,0.05026626,0.0008061236,0.003833879,0.009932767,0.03949519,0.2252188],"study_design_scores_gemma":[0.00007689286,0.0005601257,0.7456211,0.002858984,0.0001735695,0.0005595801,0.1353434,0.0006773457,0.0009769941,0.004653747,0.1083742,0.0001241007],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8482544,0.01220457,0.002008538,0.1121137,0.0003887128,0.0002961704,0.001663357,0.0001344452,0.02293606],"genre_scores_gemma":[0.9749531,0.007364934,0.00521805,0.007641679,0.0001025681,0.0002541112,0.0006077047,0.0000267925,0.003830933],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1549475,"threshold_uncertainty_score":0.31172,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07835420627698507,"score_gpt":0.3368685352534598,"score_spread":0.2585143289764747,"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."}}