{"id":"W4387392109","doi":"10.1002/bimj.202300027","title":"On “Reflections on the concept of optimality of single decision point treatment regimes”","year":2023,"lang":"en","type":"article","venue":"Biometrical Journal","topic":"Advanced Causal Inference Techniques","field":"Mathematics","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval; McGill University","funders":"Fonds de Recherche du Québec - Santé; Canadian Institutes of Health Research","keywords":"CONTEST; Point (geometry); Computer science; Mathematical economics; Operations research; Single point; Economics; Epistemology; Mathematics; Artificial intelligence; Philosophy; Political science; Law","routes":{"ca_aff":true,"ca_fund":true,"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":[],"consensus_categories":[],"category_scores_codex":[0.1112221,0.001000685,0.002679813,0.001563166,0.002560139,0.006533652,0.007199525,0.01403463,0.00774874],"category_scores_gemma":[0.1595203,0.001017047,0.003502488,0.001878326,0.04456378,0.01652942,0.003874189,0.03139842,0.001463244],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007905885,"about_ca_system_score_gemma":0.00548839,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004408449,"about_ca_topic_score_gemma":0.002142523,"domain_scores_codex":[0.9081541,0.06532419,0.003077334,0.007533824,0.01412663,0.001783964],"domain_scores_gemma":[0.8409704,0.1399969,0.00393388,0.008477398,0.005942415,0.0006790808],"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":[0.00001793957,0.000008526927,0.00003112738,0.0000410305,0.00001466186,0.00000802142,0.0001539138,0.0006324801,0.00001927264,0.9891339,0.006521075,0.003418055],"study_design_scores_gemma":[0.00002207363,0.00001433468,0.00005753829,0.00008896479,0.00001054421,0.00001014237,0.00003579038,0.001511935,0.0001122682,0.9876107,0.01050836,0.00001734057],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"commentary","genre_gemma":"methods","genre_scores_codex":[0.003483449,0.01123463,0.3467379,0.5606937,0.005212447,0.0002354105,0.0005318262,0.000192868,0.07167768],"genre_scores_gemma":[0.3526914,0.009063823,0.325998,0.2797796,0.01545452,0.002137964,0.000265036,0.0006154575,0.01399421],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.1112221,"threshold_uncertainty_score":0.5882056,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4893668478955868,"score_gpt":0.5017442050474353,"score_spread":0.01237735715184857,"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."}}