{"id":"W2518713364","doi":"10.1186/s12889-016-3640-6","title":"A retrospective analysis of real-world use of the eaTracker® My Goals website by adults from Ontario and Alberta, Canada","year":2016,"lang":"en","type":"article","venue":"BMC Public Health","topic":"Dietetics, Nutrition, and Education","field":"Health Professions","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"Canadian Institutes of Health Research; University of Waterloo; Cancer Care Ontario","keywords":"Demographics; Biostatistics; Descriptive statistics; Tracking (education); Set (abstract data type); Logistic regression; Medicine; Computer science; Applied psychology; Psychology; Public health; Demography; Statistics","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":[0.002514142,0.0005809573,0.0008825875,0.002894767,0.005560538,0.002721427,0.002138311,0.0006951129,0.002471962],"category_scores_gemma":[0.006213746,0.0008305672,0.0006423172,0.00969678,0.001676413,0.0009968005,0.002261447,0.001243466,0.0007298034],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.03718737,"about_ca_system_score_gemma":0.05394901,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9925172,"about_ca_topic_score_gemma":0.9954528,"domain_scores_codex":[0.995352,0.0002866609,0.0003558621,0.0006438458,0.002213242,0.001148288],"domain_scores_gemma":[0.9873769,0.0006458791,0.002138297,0.0004086079,0.007606578,0.001823773],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0000845148,0.00007849484,0.9822785,0.000132668,0.00004443507,0.0001363606,0.007155269,0.00003530753,0.00009242508,0.00009591971,0.004898689,0.00496725],"study_design_scores_gemma":[0.000004723052,0.00003371364,0.9889215,0.0001017043,0.00002509716,0.00004911476,0.008593245,0.00008331492,0.00003976334,0.00001379041,0.002115111,0.00001881683],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9711434,0.001318975,0.0003744974,0.0006071764,0.00003506711,0.0004211154,0.02073012,0.00004376746,0.00532599],"genre_scores_gemma":[0.9820815,0.00139554,0.0006656401,0.0007281479,0.00002261833,0.0004229958,0.01129196,0.00003790213,0.003353696],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03718737,"threshold_uncertainty_score":0.2698145,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05302546348402831,"score_gpt":0.340682534224344,"score_spread":0.2876570707403157,"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."}}