{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01303722,0.004541727,0.005953905,0.008654956,0.002872292,0.009612416,0.003515803,0.009729739,0.0332571],"category_scores_gemma":[0.04916796,0.001229507,0.003847912,0.004012212,0.003033112,0.00447058,0.001839119,0.01569518,0.01490042],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003655148,"about_ca_system_score_gemma":0.005172992,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001487214,"about_ca_topic_score_gemma":0.003541926,"domain_scores_codex":[0.9893069,0.002532059,0.001700448,0.001333736,0.00460375,0.0005231815],"domain_scores_gemma":[0.9390982,0.03399742,0.003555599,0.001927894,0.01641288,0.005008076],"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":[0.00003597193,0.00001638012,0.00003579003,0.0004399714,0.00003105142,0.00006192366,0.0000150391,0.00004790002,0.00006178186,0.0006224496,0.9914929,0.007138839],"study_design_scores_gemma":[0.00007779648,0.00004387456,0.0004440408,0.0009089122,0.00009891595,0.0003252181,0.00003667871,0.0003327911,0.0001360277,0.003898085,0.9936706,0.00002701974],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"editorial","genre_scores_codex":[0.00001733472,0.007058318,0.0003345523,0.01217558,0.9792509,0.00001922134,0.00008975951,0.00005599469,0.0009982908],"genre_scores_gemma":[0.0001939638,0.004044979,0.0002011071,0.00468273,0.9872136,0.00003073032,0.00004596739,0.00005031539,0.003536647],"genre_candidate":"editorial","genre_consensus":"editorial","teacher_disagreement_score":0.0332571,"threshold_uncertainty_score":0.1112561,"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."}}