{"id":"W4379598444","doi":"10.1093/aje/kwad133","title":"NO UNMEASURED CONFOUNDING: KNOWN UNKNOWNS OR… NOT?","year":2023,"lang":"en","type":"article","venue":"American Journal of Epidemiology","topic":"Advanced Causal Inference Techniques","field":"Mathematics","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; HEC Montréal","funders":"National Institute of Mental Health; National Institutes of Health","keywords":"Biostatistics; Confounding; Epidemiology; Medicine; Library science; Gerontology; History; Family medicine; Pathology","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":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.08929655,0.001205827,0.004005696,0.001506957,0.002671583,0.006631366,0.00436405,0.01005469,0.006566606],"category_scores_gemma":[0.247503,0.001204967,0.002105918,0.002268725,0.02053407,0.01628304,0.005260715,0.01529378,0.002255872],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003417914,"about_ca_system_score_gemma":0.006250245,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003367529,"about_ca_topic_score_gemma":0.00337251,"domain_scores_codex":[0.9347416,0.03808416,0.005291768,0.01308361,0.007470554,0.001328261],"domain_scores_gemma":[0.7224225,0.2251839,0.01667714,0.02356055,0.0097839,0.002372085],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0003226727,0.00007343787,0.00750286,0.004268741,0.001038017,0.001339354,0.002636089,0.0007737184,0.0003166355,0.6691795,0.08523919,0.2273097],"study_design_scores_gemma":[0.00005574841,0.00003960082,0.001461222,0.002323498,0.0001384331,0.0008144759,0.0005156274,0.001437176,0.0002302786,0.9090622,0.08383616,0.00008550971],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"commentary","genre_gemma":"methods","genre_scores_codex":[0.003167195,0.09387436,0.125463,0.7422109,0.02580574,0.0001274632,0.0007773586,0.0001869353,0.00838707],"genre_scores_gemma":[0.2083212,0.1184289,0.09456182,0.4350567,0.1327485,0.0008293735,0.001059133,0.0003387771,0.008655732],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9107034,"threshold_uncertainty_score":0.4722509,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3037576488440687,"score_gpt":0.4933054180363789,"score_spread":0.1895477691923102,"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."}}