{"id":"W4312232608","doi":"10.1177/20552076221145420","title":"Advancing digital patient-centered measurement methods for team-based care","year":2022,"lang":"en","type":"article","venue":"Digital Health","topic":"Digital Mental Health Interventions","field":"Psychology","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia; Michael Smith Health Research BC; University of Victoria","funders":"","keywords":"Computer science; Psychology; Medical physics; Medicine","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0005954881,0.0003059114,0.0004174023,0.0002319079,0.0006230264,0.0002128277,0.0003558315,0.00004675668,0.0001869476],"category_scores_gemma":[0.0001639642,0.0003412153,0.0003812271,0.0003300996,0.0000572508,0.0004859671,0.0002103059,0.0002765772,0.00009011024],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002331775,"about_ca_system_score_gemma":0.0004699556,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006124929,"about_ca_topic_score_gemma":0.00002341425,"domain_scores_codex":[0.9964156,0.0002197863,0.0009920106,0.0006969957,0.0005757518,0.001099825],"domain_scores_gemma":[0.9981364,0.0002050318,0.0004159755,0.0005506517,0.0001990968,0.0004928499],"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":[0.0005990922,0.001699148,0.0006983848,0.0004263289,0.00005319311,0.000004720338,0.001686113,0.00005054297,0.000002639596,0.001746607,0.01293774,0.9800955],"study_design_scores_gemma":[0.004217728,0.01596277,0.0005736437,0.000281234,0.00001806934,0.0000496932,0.01851391,0.0002740471,0.0001751768,0.00282666,0.9563908,0.0007162525],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1086301,0.02604708,0.3760999,0.01776674,0.0408687,0.02975734,0.05403054,0.003365387,0.3434342],"genre_scores_gemma":[0.9913228,4.200373e-7,0.003154682,0.002154175,0.00006411377,0.001555699,0.001094952,0.00009597264,0.0005571598],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9793792,"threshold_uncertainty_score":0.999904,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06901168452877163,"score_gpt":0.4399522118154355,"score_spread":0.3709405272866638,"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."}}