{"id":"W1980199310","doi":"10.2202/1557-4679.1400","title":"Special Issue on Causal Inference in Health Research","year":2012,"lang":"en","type":"editorial","venue":"The International Journal of Biostatistics","topic":"Advanced Causal Inference Techniques","field":"Mathematics","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Causal inference; Biostatistics; Inference; Library science; Data science; Computer science; Econometrics; Mathematics; Public health; Medicine; Artificial intelligence","routes":{"ca_aff":true,"ca_fund":false,"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":["metaresearch","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.006832744,0.0003000473,0.0006192147,0.0007415628,0.00009045487,0.0001420603,0.001930114,0.0003700094,0.0004076591],"category_scores_gemma":[0.03924847,0.0002144488,0.00009549125,0.0002332294,0.0002891809,0.0001652333,0.0002970443,0.003803528,0.00007577533],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001486095,"about_ca_system_score_gemma":0.00146055,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000141156,"about_ca_topic_score_gemma":0.0002787301,"domain_scores_codex":[0.9931746,0.0006625053,0.001512567,0.0002028297,0.003929778,0.0005176964],"domain_scores_gemma":[0.9706843,0.02441655,0.001640893,0.0003685093,0.002732483,0.0001572196],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002169025,0.0001962493,0.0000102225,0.00005491512,0.00007250819,0.0001055028,0.0006372572,0.00001052883,0.000008251543,0.05423301,0.9326647,0.01178993],"study_design_scores_gemma":[0.0002989974,0.0004599616,0.00001470024,0.0009760702,0.00001186904,0.00001389149,0.0001300324,0.00001181787,0.0001041041,0.2425205,0.7553101,0.0001479176],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"editorial","genre_scores_codex":[0.00006592683,0.0001681114,0.01132014,0.003565302,0.9794168,0.000436339,0.000953701,0.00003309993,0.004040619],"genre_scores_gemma":[0.001115803,0.001462972,0.0188484,0.0001437601,0.9772947,0.000008509545,0.00005764748,0.0000631311,0.001005057],"genre_candidate":"editorial","genre_consensus":"editorial","teacher_disagreement_score":0.1882875,"threshold_uncertainty_score":0.9984947,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2605195065290412,"score_gpt":0.5478536902653409,"score_spread":0.2873341837362998,"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."}}