{"id":"W4390898294","doi":"10.2196/55928","title":"Correction: A Machine Learning Model to Predict Patients’ Adherence Behavior and a Decision Support System for Patients With Metastatic Breast Cancer: Protocol for a Randomized Controlled Trial","year":2024,"lang":"en","type":"erratum","venue":"JMIR Research Protocols","topic":"Medication Adherence and Compliance","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Pfizer","keywords":"Randomized controlled trial; Protocol (science); Decision support system; Medicine; Breast cancer; Metastatic breast cancer; Cancer; Computer science; Physical therapy; Medical physics; Artificial intelligence; Alternative medicine; Oncology; Internal medicine; Pathology","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":[0.02948964,0.003026947,0.003964757,0.002316669,0.002366784,0.002867932,0.003278594,0.007782351,0.1933493],"category_scores_gemma":[0.330152,0.001645039,0.006090345,0.002174584,0.002105126,0.002036313,0.001479542,0.009948326,0.02558861],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004240997,"about_ca_system_score_gemma":0.01031577,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0108349,"about_ca_topic_score_gemma":0.017723,"domain_scores_codex":[0.9724784,0.01386963,0.006164752,0.001430525,0.004910167,0.001146446],"domain_scores_gemma":[0.8818043,0.06836417,0.008092114,0.007111878,0.03225592,0.00237158],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"randomized_trial","study_design_scores_codex":[0.003565931,0.00006443607,0.0001708067,0.004407862,0.0003183364,0.0001174529,0.00005131494,0.0001696287,0.00006353105,0.001231323,0.9762471,0.01359234],"study_design_scores_gemma":[0.07615698,0.001759697,0.006484733,0.02488914,0.004448454,0.0009043007,0.0002410575,0.004156864,0.001565999,0.01982154,0.8590025,0.0005686994],"study_design_candidate":"randomized_trial","study_design_consensus":null,"genre_codex":"editorial","genre_gemma":"protocol","genre_scores_codex":[0.00189691,0.00412471,0.0114232,0.134239,0.7223417,0.02142542,0.09007619,0.003196395,0.01127646],"genre_scores_gemma":[0.06547067,0.008039249,0.1027777,0.2672627,0.1320266,0.2056151,0.03184631,0.005603256,0.1813585],"genre_candidate":"protocol","genre_consensus":null,"teacher_disagreement_score":0.1933493,"threshold_uncertainty_score":0.6468179,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1240747160129031,"score_gpt":0.4977753492643124,"score_spread":0.3737006332514093,"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."}}