{"id":"W4387440807","doi":"10.2196/49471","title":"Supporting Pain Self-Management in Patients With Cancer: App Development Based on a Theoretical and Evidence-Driven Approach","year":2023,"lang":"en","type":"article","venue":"JMIR Cancer","topic":"Pain Management and Opioid Use","field":"Medicine","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"King Saud University","keywords":"Psychological intervention; Intervention (counseling); Persuasion; Behavior change methods; Context (archaeology); Self-management; Behavior change; Psychology; Set (abstract data type); Applied psychology; Knowledge management; Process management; Medicine; Computer science; Nursing; Social psychology; Engineering; 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":[0.02332707,0.0009785183,0.0005627383,0.00218791,0.001165368,0.003353865,0.002272113,0.001812036,0.002834087],"category_scores_gemma":[0.03756293,0.0007302354,0.001241645,0.0008838229,0.001540009,0.002687754,0.003620769,0.002198028,0.0009940497],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002062976,"about_ca_system_score_gemma":0.01192799,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001000337,"about_ca_topic_score_gemma":0.002976432,"domain_scores_codex":[0.9877552,0.007661612,0.000780102,0.0005796236,0.002846756,0.0003767585],"domain_scores_gemma":[0.9677675,0.02471452,0.001547192,0.00118276,0.004011516,0.000776425],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0005652663,0.005216712,0.0133596,0.01818309,0.0002469561,0.001258072,0.01947143,0.01254787,0.01537326,0.03574137,0.00935719,0.8686793],"study_design_scores_gemma":[0.003396666,0.01624152,0.03484683,0.07418553,0.002468053,0.006030955,0.03081033,0.1751476,0.06927954,0.1211163,0.4657674,0.0007093922],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1510664,0.006699446,0.7288459,0.01162175,0.0004387503,0.05082178,0.0007128395,0.00166002,0.04813317],"genre_scores_gemma":[0.1249305,0.003189379,0.8543593,0.001022836,0.00003987932,0.01426793,0.000281523,0.00008272413,0.001825986],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02332707,"threshold_uncertainty_score":0.1233668,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01377570928258605,"score_gpt":0.2977958531635574,"score_spread":0.2840201438809714,"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."}}