{"id":"W4317878298","doi":"10.1370/afm.21.s1.4274","title":"Tools to Regularly Measure Function for Adult Patients in Primary Care","year":2023,"lang":"en","type":"article","venue":"Healthcare informatics","topic":"Primary Care and Health Outcomes","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Context (archaeology); Delphi method; Health care; Measure (data warehouse); Medicine; Set (abstract data type); Computer science; Data mining; Artificial intelligence","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.05889155,0.0008853345,0.0009531747,0.003405079,0.00268454,0.002932381,0.002834974,0.001340117,0.01119279],"category_scores_gemma":[0.08063442,0.0005538004,0.001770458,0.002586789,0.001605737,0.00218543,0.004728053,0.00237105,0.003227428],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01297209,"about_ca_system_score_gemma":0.06108557,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1082696,"about_ca_topic_score_gemma":0.17501,"domain_scores_codex":[0.9741896,0.01275298,0.003374014,0.0008237384,0.006973003,0.001886704],"domain_scores_gemma":[0.9376332,0.01982785,0.006122418,0.004199273,0.02784924,0.00436799],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003531152,0.001146956,0.1453593,0.005650823,0.0001649833,0.0003908487,0.02416946,0.001734196,0.002261034,0.004435501,0.172074,0.6422598],"study_design_scores_gemma":[0.0003655036,0.00187412,0.7021664,0.007896828,0.0001583742,0.0005823929,0.04038214,0.003166666,0.002579748,0.00760776,0.232848,0.000372093],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"methods","genre_scores_codex":[0.2730641,0.006451295,0.1337084,0.1267026,0.001765555,0.1513933,0.02877111,0.00370417,0.2744394],"genre_scores_gemma":[0.4442293,0.004209491,0.4631191,0.01206745,0.0003472406,0.05998269,0.008422335,0.000218368,0.00740393],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.1082696,"threshold_uncertainty_score":0.311452,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07196765592532062,"score_gpt":0.3891309445393799,"score_spread":0.3171632886140592,"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."}}