{"id":"W4403011171","doi":"10.1136/heartjnl-2024-bacpr.37","title":"37 Personalising MET levels for moderate-vigorous physical activity, where public health recommendations can potentially miscategorise patients as only achieving light activity","year":2024,"lang":"en","type":"article","venue":"","topic":"Cardiovascular Disease and Adiposity","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"","keywords":"Physical activity; Computer science; Public health; Physical therapy; Medicine; Nursing","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":[0.001609401,0.0002362504,0.0003715227,0.001241304,0.0002876239,0.0008505211,0.0004125739,0.0003526762,0.008054845],"category_scores_gemma":[0.004394226,0.0001252675,0.0004204277,0.001528209,0.0001597889,0.0003325593,0.0004280913,0.0003088188,0.003155581],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004322316,"about_ca_system_score_gemma":0.0006567486,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005868309,"about_ca_topic_score_gemma":0.01417047,"domain_scores_codex":[0.9983436,0.0005291491,0.000545311,0.0001838358,0.0003115193,0.0000865354],"domain_scores_gemma":[0.9974565,0.0009205369,0.0006591237,0.0002221151,0.00064701,0.00009481954],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0006233875,0.0001709049,0.6428955,0.002314257,0.0002609028,0.0003420501,0.0007683315,0.0004096422,0.002373777,0.001204616,0.0394829,0.3091537],"study_design_scores_gemma":[0.00006303239,0.0003681401,0.904825,0.0009877399,0.0001702186,0.001024331,0.0008434172,0.000680745,0.002165655,0.0009240107,0.08789848,0.00004930089],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.71513,0.02751272,0.03499631,0.006476286,0.0009052705,0.001657851,0.07775617,0.001225268,0.1343402],"genre_scores_gemma":[0.9318144,0.007233581,0.02095752,0.001957705,0.0002163087,0.001275111,0.02331223,0.0001325505,0.01310067],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008054845,"threshold_uncertainty_score":0.02694619,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04640534716900674,"score_gpt":0.331156536654228,"score_spread":0.2847511894852213,"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."}}