{"id":"W3080340456","doi":"10.1093/biostatistics/kxaa033","title":"Adaptive treatment strategies for chronic conditions: shared-parameter G-estimation with an application to rheumatoid arthritis","year":2020,"lang":"en","type":"article","venue":"Biostatistics","topic":"Statistical Methods and Inference","field":"Mathematics","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"Fonds de Recherche du Québec - Santé","keywords":"Estimation; Computer science; Robustness (evolution); Rheumatoid arthritis; Mathematical optimization; Machine learning; Estimation theory; Point estimation; Artificial intelligence; Econometrics; Data mining; Medicine; Mathematics; Algorithm; Statistics","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.03078789,0.001314989,0.002817079,0.001421548,0.0007828556,0.0014294,0.00352403,0.002272141,0.003941384],"category_scores_gemma":[0.1017314,0.0008980772,0.002626408,0.00174543,0.003070219,0.002518321,0.00292344,0.004160983,0.00042693],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001416618,"about_ca_system_score_gemma":0.003060555,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008866653,"about_ca_topic_score_gemma":0.005449363,"domain_scores_codex":[0.9844381,0.01305129,0.0003486455,0.001232828,0.0006153125,0.0003137967],"domain_scores_gemma":[0.897812,0.09290408,0.003180675,0.004215849,0.001358286,0.0005291251],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0008414155,0.0003295921,0.01138719,0.0003163804,0.001235717,0.0005492116,0.0006238725,0.6490049,0.0007630176,0.1691258,0.003552114,0.1622708],"study_design_scores_gemma":[0.0002166005,0.0001842551,0.001302161,0.00005759629,0.0001053,0.00007048788,0.00006306994,0.8101525,0.0002470152,0.1863072,0.001253139,0.00004068678],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01552998,0.0005205833,0.9822305,0.0007202637,0.00005518532,0.0001852035,0.00009543791,0.0001467243,0.0005161963],"genre_scores_gemma":[0.4785965,0.001024476,0.5147833,0.0008736388,0.0002844472,0.001184475,0.0004276044,0.0001389044,0.002686658],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.03078789,"threshold_uncertainty_score":0.1628239,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09362554207553095,"score_gpt":0.3750745637280131,"score_spread":0.2814490216524822,"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."}}