{"id":"W4293860158","doi":"10.2196/37316","title":"A Tailored SMS Text Message–Based Intervention to Facilitate Patient Access to Referred Community-Based Social Needs Resources: Protocol for a Pilot Feasibility and Acceptability Study","year":2022,"lang":"en","type":"article","venue":"JMIR Research Protocols","topic":"Mobile Health and mHealth Applications","field":"Health Professions","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Center for Advancing Translational Sciences; National Heart, Lung, and Blood Institute; National Institutes of Health; Health Services Research and Development; U.S. Department of Veterans Affairs","keywords":"Referral; Medicine; Intervention (counseling); Thematic analysis; Short Message Service; Nursing; Protocol (science); Health care; Medical education; Qualitative research; Computer science; Alternative medicine","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.02580605,0.003354649,0.002823194,0.001774327,0.003757032,0.001783234,0.003099639,0.003905164,0.0547052],"category_scores_gemma":[0.01886417,0.002435738,0.00234621,0.001194463,0.002223823,0.002146977,0.002627976,0.005012952,0.007434553],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002853402,"about_ca_system_score_gemma":0.01253497,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002979041,"about_ca_topic_score_gemma":0.004598383,"domain_scores_codex":[0.9861035,0.00915555,0.001347548,0.0008155605,0.001216569,0.001361272],"domain_scores_gemma":[0.9902931,0.004125169,0.0009699436,0.001198922,0.002217688,0.001195149],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"nonrandomized_trial","study_design_scores_codex":[0.2123393,0.264061,0.005229012,0.0420227,0.000853986,0.002391968,0.01070624,0.006930455,0.01508792,0.009946692,0.07585245,0.3545783],"study_design_scores_gemma":[0.4152195,0.2984427,0.03087047,0.009469561,0.0009714476,0.0005288118,0.00624495,0.00594831,0.0110097,0.007253004,0.2133884,0.0006531421],"study_design_candidate":"nonrandomized_trial","study_design_consensus":null,"genre_codex":"protocol","genre_gemma":"protocol","genre_scores_codex":[0.003228074,0.00002706704,0.00137452,0.00006526532,0.00005044732,0.9943312,0.0003752367,0.00004274444,0.0005054303],"genre_scores_gemma":[0.001283779,0.00002998226,0.001941768,0.00004838939,0.000007105819,0.9964746,0.00004496742,0.000002197968,0.0001672884],"genre_candidate":"protocol","genre_consensus":"protocol","teacher_disagreement_score":0.0547052,"threshold_uncertainty_score":0.1830071,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.7258039222013493,"score_gpt":0.6650665990433288,"score_spread":0.0607373231580205,"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."}}