{"id":"W1970517271","doi":"10.1080/01621459.2011.643743","title":"Partially Hidden Markov Model for Time-Varying Principal Stratification in HIV Prevention Trials","year":2012,"lang":"en","type":"article","venue":"Journal of the American Statistical Association","topic":"Advanced Causal Inference Techniques","field":"Mathematics","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","funders":"National Institute of Allergy and Infectious Diseases","keywords":"Human immunodeficiency virus (HIV); Markov model; Markov chain; Principal (computer security); Mathematics; Econometrics; Statistics; Computer science; Medicine; Virology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.105167,0.00213997,0.004926312,0.002827275,0.001116436,0.002798404,0.005436799,0.005025661,0.009632505],"category_scores_gemma":[0.1799046,0.002054083,0.003688734,0.002792872,0.003618574,0.004895948,0.003140811,0.006987303,0.001482869],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003311856,"about_ca_system_score_gemma":0.005697716,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007182409,"about_ca_topic_score_gemma":0.006175076,"domain_scores_codex":[0.9399177,0.05157676,0.001789417,0.003847256,0.001918733,0.000950138],"domain_scores_gemma":[0.7571236,0.2231605,0.009267196,0.006688755,0.002649488,0.001110421],"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":[0.002463348,0.0002138008,0.01092243,0.001587343,0.001743751,0.0006870233,0.00110768,0.2807518,0.0007040784,0.6399856,0.005577519,0.05425572],"study_design_scores_gemma":[0.0008810406,0.0003486496,0.001468769,0.000258462,0.0004351372,0.000102837,0.00005263413,0.61431,0.0002874577,0.378986,0.002799868,0.00006915921],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01525049,0.00169099,0.9749808,0.003724794,0.0002775512,0.001052171,0.001247745,0.0004468009,0.001328618],"genre_scores_gemma":[0.4649109,0.003617873,0.4991398,0.002694707,0.0008260096,0.01635331,0.00322537,0.0001811637,0.009050808],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.105167,"threshold_uncertainty_score":0.5561829,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1458605606659757,"score_gpt":0.4456935749526401,"score_spread":0.2998330142866643,"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."}}