{"id":"W4293064632","doi":"10.1002/cjs.11702","title":"Dynamic treatment regimes with interference","year":2022,"lang":"en","type":"article","venue":"Canadian Journal of Statistics","topic":"Advanced Causal Inference Techniques","field":"Mathematics","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"Canadian Institutes of Health Research; Canadian Network for Research and Innovation in Machining Technology, Natural Sciences and Engineering Research Council of Canada; Ontario Institute for Cancer Research","keywords":"Robustness (evolution); Observational study; Computer science; Ordinary least squares; Econometrics; Function (biology); Population; Data mining; Machine learning; Medicine; Mathematics; Statistics","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":true,"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":[0.01418918,0.0006069341,0.001599537,0.001007336,0.0009930686,0.002444662,0.002570295,0.002872441,0.008984707],"category_scores_gemma":[0.07691412,0.0007194398,0.001580152,0.001069486,0.00386559,0.003273645,0.003042832,0.003122194,0.0007538843],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002617907,"about_ca_system_score_gemma":0.001563651,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004344601,"about_ca_topic_score_gemma":0.001880831,"domain_scores_codex":[0.9844149,0.008680564,0.0006439437,0.003614162,0.001697255,0.0009492315],"domain_scores_gemma":[0.9456302,0.03820749,0.006857269,0.006962664,0.001660878,0.0006814834],"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":[0.0003664503,0.0001981997,0.01003562,0.0002015572,0.0004138822,0.0003875643,0.0004533161,0.2853299,0.001109921,0.6302949,0.003264041,0.06794468],"study_design_scores_gemma":[0.0001923969,0.0002431982,0.004208103,0.00009832643,0.0001414007,0.0001749203,0.0001137113,0.5099664,0.0009454315,0.477552,0.00629227,0.00007178659],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.05241353,0.000336034,0.9339439,0.002577586,0.0001319935,0.0002857309,0.0005519011,0.0002719153,0.009487453],"genre_scores_gemma":[0.9043166,0.0002757122,0.08661237,0.001041811,0.0002202311,0.0006809442,0.000356306,0.00006888816,0.006427181],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01418918,"threshold_uncertainty_score":0.07504046,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07877763027666349,"score_gpt":0.3395120526457993,"score_spread":0.2607344223691358,"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."}}