{"id":"W4409854820","doi":"10.2196/71597","title":"Dolodoc, an App to Leverage Self-Management of Chronic Pain: Design, Development, and Implementation Report","year":2025,"lang":"en","type":"article","venue":"JMIR Medical Informatics","topic":"Musculoskeletal pain and rehabilitation","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Preprint; Leverage (statistics); Computer science; Mobile apps; Pain management; Medicine; World Wide Web; Physical therapy; Artificial intelligence","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":[0.008717991,0.0007976461,0.0003446481,0.001103451,0.0006265001,0.001894308,0.001398429,0.001039069,0.002630928],"category_scores_gemma":[0.01228438,0.000486911,0.0005599975,0.0003020053,0.0007912544,0.001023061,0.002271046,0.0009521473,0.0009129651],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006975264,"about_ca_system_score_gemma":0.003924877,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00196574,"about_ca_topic_score_gemma":0.003101477,"domain_scores_codex":[0.9960976,0.001456223,0.0004152718,0.0003417486,0.001326301,0.0003629359],"domain_scores_gemma":[0.9963468,0.001572641,0.0002391518,0.0002398477,0.001127452,0.0004741561],"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":[0.002080823,0.008199717,0.03722897,0.008321452,0.0002388071,0.002063866,0.01208387,0.001670148,0.02707954,0.002358244,0.0246797,0.8739949],"study_design_scores_gemma":[0.005476427,0.06294784,0.1743748,0.01145472,0.00255209,0.00721063,0.02106956,0.02213109,0.09568964,0.004671397,0.591305,0.001116852],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.7380443,0.006449066,0.1228908,0.003238088,0.0008026653,0.09215365,0.004831809,0.005547208,0.02604239],"genre_scores_gemma":[0.5144642,0.007065839,0.3968218,0.001947263,0.0001792401,0.05683427,0.005399323,0.0009370088,0.01635101],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.008717991,"threshold_uncertainty_score":0.04610574,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01506666151902835,"score_gpt":0.3456849000963012,"score_spread":0.3306182385772728,"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."}}