{"id":"W3000559000","doi":"10.1016/j.artmed.2020.101793","title":"Seven pillars of precision digital health and medicine","year":2020,"lang":"en","type":"article","venue":"Artificial Intelligence in Medicine","topic":"Machine Learning in Healthcare","field":"Computer Science","cited_by":40,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University","funders":"Engineering and Physical Sciences Research Council","keywords":"Computer science; Digital health; Data science; Health care","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":[0.0113445,0.001077701,0.001466824,0.006073989,0.004300999,0.02066375,0.001904129,0.005669876,0.01545753],"category_scores_gemma":[0.01997415,0.0008965278,0.0009574267,0.004249169,0.04768564,0.01967791,0.01110523,0.007655077,0.004242505],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004890248,"about_ca_system_score_gemma":0.009031569,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003556659,"about_ca_topic_score_gemma":0.002277762,"domain_scores_codex":[0.9899513,0.002881911,0.0007889391,0.001001738,0.004738025,0.0006381187],"domain_scores_gemma":[0.9802647,0.009415005,0.00122621,0.004922296,0.003066241,0.001105625],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00001432806,0.00001417022,0.0001674819,0.00008985718,0.000009885672,0.00001405962,0.0002360327,0.0001344324,0.00004222207,0.9735033,0.004912345,0.02086185],"study_design_scores_gemma":[0.00002114389,0.0000310922,0.0004405671,0.0003717464,0.00001697253,0.00006270724,0.0002675295,0.0003061972,0.0002619213,0.8987103,0.09948581,0.00002400356],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.01136404,0.05303197,0.1060909,0.1594298,0.005322678,0.0004155373,0.0006059013,0.0008193506,0.6629198],"genre_scores_gemma":[0.6406527,0.06391949,0.1309671,0.03849372,0.01362615,0.001635739,0.0006045134,0.0005602502,0.1095403],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02066375,"threshold_uncertainty_score":0.05999619,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08965527697656829,"score_gpt":0.3836124529021059,"score_spread":0.2939571759255377,"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."}}