{"id":"W3192973299","doi":"10.2196/28322","title":"A Digital Self-management Program (Help to Overcome Problems Effectively) for People Living With Cancer: Feasibility Randomized Controlled Trial","year":2021,"lang":"en","type":"article","venue":"Journal of Medical Internet Research","topic":"Cancer survivorship and care","field":"Medicine","cited_by":24,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"Coventry University","keywords":"Randomized controlled trial; Context (archaeology); Medicine; Anxiety; Intervention (counseling); Sample size determination; Physical therapy; Self-management; Mental health; Nursing; Psychiatry; Computer science; Surgery","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":[],"consensus_categories":[],"category_scores_codex":[0.01197876,0.0001955968,0.001944225,0.000308828,0.0000553395,0.0002547026,0.0003569797,0.0001550968,0.0006147407],"category_scores_gemma":[0.007954326,0.0001134778,0.0007372268,0.0005792949,0.0001473855,0.0001273041,0.0002455736,0.001013797,0.000005040905],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006079077,"about_ca_system_score_gemma":0.001384978,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000265221,"about_ca_topic_score_gemma":0.001232396,"domain_scores_codex":[0.9935058,0.0008759149,0.0009486061,0.0003687567,0.003750968,0.0005499104],"domain_scores_gemma":[0.9924299,0.004227869,0.0002343998,0.0002631371,0.00199339,0.0008513029],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"randomized_trial","study_design_gemma":"randomized_trial","study_design_scores_codex":[0.9584143,0.002536342,0.002478104,0.001076589,0.002369931,0.0003186263,0.00278966,0.000003201895,0.00001518682,0.0001297728,0.00339593,0.02647239],"study_design_scores_gemma":[0.9764256,0.007340664,0.0008838929,0.004040655,0.0004407492,0.0001856811,0.00124337,0.0008855599,0.00006431436,0.00009082501,0.008253355,0.0001453625],"study_design_candidate":"randomized_trial","study_design_consensus":"randomized_trial","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9683333,0.001344706,0.003537336,0.008568645,0.0009710843,0.01442226,0.000008223654,0.00004616658,0.002768253],"genre_scores_gemma":[0.991016,0.0004024617,0.0003973544,0.0001796784,0.001016949,0.003138821,0.000004197876,0.00003175571,0.003812786],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02632703,"threshold_uncertainty_score":0.9522645,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03499849224792703,"score_gpt":0.4018359825167421,"score_spread":0.3668374902688151,"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."}}