{"id":"W2921476564","doi":"10.1002/sim.8132","title":"A test for the correct specification of marginal structural models","year":2019,"lang":"en","type":"article","venue":"Statistics in Medicine","topic":"Advanced Causal Inference Techniques","field":"Mathematics","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval; The Quebec Population Health Research Network","funders":"Natural Sciences and Engineering Research Council of Canada; Fondation du CHUM","keywords":"Marginal structural model; Inverse probability; Computer science; Estimator; Econometrics; Outcome (game theory); Confounding; Statistics; Causal model; Mathematics; Bayesian probability; Posterior probability","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006120349,0.00009182165,0.0002298552,0.00006961256,0.0000196693,0.000002517618,0.0001649659,0.0000382029,0.0001344411],"category_scores_gemma":[0.002025059,0.00005779322,0.00001255982,0.0001208029,0.000151388,0.0000413263,0.00001917679,0.000134721,0.000001546659],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000495966,"about_ca_system_score_gemma":0.00002361688,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000270361,"about_ca_topic_score_gemma":0.00004273134,"domain_scores_codex":[0.9991457,0.0000158094,0.0003573952,0.0001189225,0.0002154813,0.0001466823],"domain_scores_gemma":[0.9933254,0.006012962,0.00018821,0.0002780166,0.0001753538,0.00002012276],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00004773906,0.00001479161,0.0009120326,0.0001411719,0.000006958337,0.000001005645,0.0006118622,0.00006545649,0.002149118,0.9845564,0.003610524,0.007882976],"study_design_scores_gemma":[0.0004212525,0.0002672588,0.0010777,0.0001151496,0.0000218586,0.000003315213,0.0004916665,0.04635906,0.001115285,0.9498941,0.0001665446,0.00006680133],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.004598652,0.00005796204,0.9926245,0.00015854,0.0001792236,0.0007133747,0.0001258203,0.00002749351,0.001514496],"genre_scores_gemma":[0.6003874,0.00004032788,0.3991096,0.00003934935,0.0000643789,0.00002664831,0.00002396206,0.00001478792,0.0002935654],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.5957887,"threshold_uncertainty_score":0.2424332,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1432265289819225,"score_gpt":0.4376362016703848,"score_spread":0.2944096726884622,"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."}}