{"id":"W4396870682","doi":"10.1002/bimj.202300398","title":"Comparative review of novel model‐assisted designs for phase I/II clinical trials","year":2024,"lang":"en","type":"article","venue":"Biometrical Journal","topic":"Statistical Methods in Clinical Trials","field":"Mathematics","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"Natural Sciences and Engineering Research Council of Canada; National Natural Science Foundation of China","keywords":"Computer science; Sample size determination; Selection (genetic algorithm); Design of experiments; Optimal design; Mixed model; Maximum tolerated dose; Limiting; Model selection; Clinical trial; Mathematical optimization; Statistics; Machine learning; Mathematics; Medicine; Engineering","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":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.08512582,0.001506338,0.003976419,0.002189017,0.0002795927,0.001583126,0.001717829,0.001474899,0.005361386],"category_scores_gemma":[0.1567069,0.00088761,0.005935871,0.001781695,0.0007247929,0.0008798375,0.0008098276,0.001939593,0.0005263552],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002737052,"about_ca_system_score_gemma":0.004130946,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009727103,"about_ca_topic_score_gemma":0.001183322,"domain_scores_codex":[0.9341894,0.05574811,0.004178414,0.001854592,0.003763015,0.000266495],"domain_scores_gemma":[0.79615,0.187422,0.007063729,0.003493276,0.00535746,0.0005135036],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.007318449,0.0002688627,0.0008469729,0.04219502,0.006265538,0.00007514337,0.000169789,0.0251343,0.0009972098,0.02088334,0.005829345,0.890016],"study_design_scores_gemma":[0.03101142,0.0850345,0.01869706,0.1061042,0.05011763,0.001827162,0.0003414772,0.1554635,0.01062344,0.1141089,0.4257353,0.0009355717],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.008129977,0.7613344,0.2187672,0.002688712,0.001326066,0.002420541,0.0006817062,0.0003633186,0.004288219],"genre_scores_gemma":[0.147994,0.512563,0.31892,0.004422386,0.001786835,0.01097032,0.001226093,0.0003751691,0.001742153],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9148742,"threshold_uncertainty_score":0.4501938,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.9787822344457127,"score_gpt":0.7827430936798301,"score_spread":0.1960391407658826,"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."}}