{"id":"W4322719244","doi":"10.1007/s00134-023-07004-z","title":"Helmet trials: resolving the puzzle","year":2023,"lang":"en","type":"letter","venue":"Intensive Care Medicine","topic":"Cardiac Arrest and Resuscitation","field":"Medicine","cited_by":4,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"National Heart, Lung, and Blood Institute; University of Toronto","keywords":"Pain medicine; Anesthesiology; Medicine; Intensive care medicine; Medical emergency; Anesthesia","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.02400454,0.001188197,0.002651659,0.001436743,0.009841703,0.01169504,0.004265089,0.1454137,0.01129093],"category_scores_gemma":[0.09158915,0.001132919,0.001765875,0.002121222,0.006901704,0.008967087,0.003781944,0.05678967,0.009267194],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007197027,"about_ca_system_score_gemma":0.01882352,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01382943,"about_ca_topic_score_gemma":0.02901258,"domain_scores_codex":[0.9822931,0.009985676,0.001657506,0.001433872,0.002896415,0.001733407],"domain_scores_gemma":[0.9394807,0.04164204,0.003083143,0.0014668,0.006270895,0.00805639],"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":[0.0001072591,0.00003226195,0.0006320551,0.00008940482,0.00003346299,0.0007481996,0.0001698373,0.00004438367,0.00008684275,0.006066268,0.9847955,0.0071945],"study_design_scores_gemma":[0.0005655388,0.0001242039,0.001429745,0.001114884,0.00008953203,0.0008259845,0.0009089014,0.0004197773,0.0001632551,0.03386683,0.9603884,0.0001028796],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.0002046713,0.001252307,0.00004296067,0.9897474,0.00498526,0.000009741577,0.0000417563,0.00001144518,0.003704563],"genre_scores_gemma":[0.001881795,0.0006498256,0.0001516581,0.9790553,0.01529943,0.00004193367,0.00001984895,0.00001740196,0.002882727],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.1454137,"threshold_uncertainty_score":0.1269496,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07628666644990864,"score_gpt":0.3625601984623055,"score_spread":0.2862735320123968,"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."}}