{"id":"W6964645126","doi":"10.25384/sage.22912663.v1","title":"sj-docx-2-jpx-10.1177_23743735231174762 - Supplemental material for Linking Patients’ Goals and Priorities to Recommendations for Medication Changes in a Polypharmacy-Focused Structured Clinical Pathway","year":2023,"lang":"en","type":"article","venue":"Figshare","topic":"Physics and Engineering Research Articles","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia; Bruyère; University of Ottawa; University of Waterloo; McMaster University","funders":"","keywords":"Clinical pathway; MEDLINE; Clinical Practice; Data collection; Qualitative research","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001413892,0.0001240452,0.0001627044,0.0001438541,0.0000725384,0.00008062616,0.0001264862,0.00005388067,0.006304307],"category_scores_gemma":[0.0002772252,0.0001310397,0.00003925867,0.0001706863,0.000005344993,0.0001230958,0.00008006948,0.00007614867,0.00003755567],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005024596,"about_ca_system_score_gemma":0.00002053519,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000004419077,"about_ca_topic_score_gemma":0.00006840749,"domain_scores_codex":[0.9990712,0.00001571938,0.0002514262,0.0001868616,0.0001214087,0.0003534261],"domain_scores_gemma":[0.9994158,0.0002678682,0.00002619553,0.0001095825,0.00005694369,0.0001236201],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001246275,0.00005446993,0.001092292,0.001199129,0.00009341515,0.000002145986,0.001474429,0.0005649728,0.01134606,0.00007110444,0.6959649,0.2880125],"study_design_scores_gemma":[0.006846366,0.0006824433,0.04620774,0.001514988,0.00002664814,9.275846e-7,0.0003114057,0.116469,0.06836934,0.002960334,0.7556181,0.0009926611],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.4909745,0.00003705444,0.00007059242,0.0009922638,0.0004134833,0.001724042,0.505402,0.0003678275,0.00001821519],"genre_scores_gemma":[0.8521957,0.00001741274,0.001190544,0.000055045,0.0003852294,0.001749406,0.1443394,0.00005121907,0.00001608533],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.3612212,"threshold_uncertainty_score":0.9946041,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07147714192514718,"score_gpt":0.3424992699998248,"score_spread":0.2710221280746776,"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."}}