{"id":"W6902156574","doi":"10.6084/m9.figshare.14561280.v1","title":"Additional file 1 of The effect of different methods to identify, and scenarios used to address energy intake misestimation on dietary patterns derived by cluster analysis","year":2021,"lang":"en","type":"article","venue":"Figshare","topic":"Nutritional Studies and Diet","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo; Mount Royal University; Alberta Health Services","funders":"","keywords":"Cluster (spacecraft); Energy (signal processing); Energy consumption; Cluster analysis; Statistical analysis","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.004262212,0.001327155,0.001535409,0.001807471,0.0009706088,0.001570978,0.002025161,0.001494626,0.8619683],"category_scores_gemma":[0.08542307,0.0006819444,0.001945142,0.002664061,0.0003388219,0.001631137,0.001035338,0.001529359,0.09519786],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00102606,"about_ca_system_score_gemma":0.002776136,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01387819,"about_ca_topic_score_gemma":0.01778785,"domain_scores_codex":[0.9982438,0.0007760384,0.0002177696,0.000335468,0.0002647903,0.0001621311],"domain_scores_gemma":[0.8687895,0.1221201,0.002103567,0.002318214,0.004012183,0.0006564483],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.001104511,0.0002506192,0.003420597,0.006315392,0.0002575114,0.00006272159,0.0001344546,0.001823788,0.00007714136,0.00136171,0.9718848,0.01330664],"study_design_scores_gemma":[0.03067859,0.001459683,0.05297079,0.01198173,0.001892406,0.0007882757,0.001311421,0.01302377,0.001425577,0.02898624,0.8550584,0.0004230299],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.0005052666,0.00005181123,0.0007933203,0.000190308,0.00004877726,0.0002967047,0.9963591,0.0003477369,0.001407043],"genre_scores_gemma":[0.04431248,0.0005666798,0.02644725,0.002602378,0.0003322106,0.01764019,0.8709505,0.004142221,0.03300612],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8619683,"threshold_uncertainty_score":0.1968854,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03855720551304064,"score_gpt":0.3348451119563974,"score_spread":0.2962879064433568,"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."}}