{"id":"W4376654146","doi":"10.48550/arxiv.2305.08651","title":"Methodological considerations for novel approaches to covariate-adjusted indirect treatment comparisons","year":2023,"lang":"en","type":"preprint","venue":"arXiv (Cornell University)","topic":"Advanced Causal Inference Techniques","field":"Mathematics","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Covariate; Econometrics; Robustness (evolution); Weighting; Outcome (game theory); Computer science; Extrapolation; Context (archaeology); Statistics; Mathematics; Medicine; Geography","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[{"model":"gpt","categories":[],"domain":null,"study_design":"theoretical_or_conceptual","genre":"methods","about_ca_system":false,"about_ca_topic":false,"confidence":"low","status":"direct model label, unvalidated"},{"model":"grok","categories":["metaresearch"],"domain":"methods","study_design":"theoretical_or_conceptual","genre":"methods","about_ca_system":false,"about_ca_topic":false,"confidence":"medium","status":"direct model label, unvalidated"},{"model":"opus","categories":["metaresearch"],"domain":"methods","study_design":"theoretical_or_conceptual","genre":"methods","about_ca_system":false,"about_ca_topic":false,"confidence":"low","status":"direct model label, unvalidated"}],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.3975861,0.002238036,0.003748133,0.002911104,0.002224206,0.006741138,0.01008596,0.00508746,0.01073906],"category_scores_gemma":[0.662929,0.001668729,0.005455517,0.004629439,0.007463105,0.01001382,0.007526882,0.01608409,0.001751965],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00328833,"about_ca_system_score_gemma":0.008217994,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003056821,"about_ca_topic_score_gemma":0.003865592,"domain_scores_codex":[0.5272706,0.4419509,0.009424095,0.008004302,0.01233579,0.001014239],"domain_scores_gemma":[0.3737241,0.529194,0.01390812,0.0651923,0.01657648,0.001405013],"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":[0.0004654409,0.000153966,0.001830184,0.001332563,0.001895819,0.0001582128,0.001654354,0.009889746,0.0004405189,0.8442531,0.00709265,0.1308334],"study_design_scores_gemma":[0.0002407261,0.0002066743,0.0007040494,0.0005944937,0.0003037392,0.0001188386,0.0001543513,0.02025401,0.0005853307,0.9623817,0.01439384,0.00006221927],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0007023306,0.0009160209,0.9898606,0.006483673,0.0003493186,0.0004730599,0.0001407385,0.0001141793,0.0009600211],"genre_scores_gemma":[0.03254309,0.0008784762,0.9544427,0.00425863,0.000690495,0.005931321,0.0001675722,0.0001827032,0.000905024],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.3975861,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.95394451213457,"score_gpt":0.4139994722693762,"score_spread":0.5399450398651937,"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."}}