{"id":"W6939773735","doi":"10.6084/m9.figshare.27173673","title":"Additional file 2 of Adaptive designs in clinical trials: a systematic review-part I","year":2024,"lang":"en","type":"article","venue":"Figshare","topic":"Statistical Methods in Clinical Trials","field":"Mathematics","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Children's Hospital Research Institute of Manitoba; SickKids Foundation; George & Fay Yee Centre for Healthcare Innovation; University of Toronto; University of Calgary; University of Manitoba; Hospital for Sick Children; University of British Columbia","funders":"","keywords":"Adaptive design; Key (lock); Scheme (mathematics); Matching (statistics)","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[{"model":"gemma","categories":["insufficient_payload"],"domain":null,"study_design":"not_applicable","genre":"other","about_ca_system":false,"about_ca_topic":false,"confidence":"high","status":"direct model label, unvalidated"},{"model":"gpt","categories":["insufficient_payload"],"domain":null,"study_design":"not_applicable","genre":"dataset","about_ca_system":false,"about_ca_topic":false,"confidence":"low","status":"direct model label, unvalidated"}],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.01824678,0.003240348,0.005343142,0.009435309,0.0008969649,0.005139367,0.002883555,0.003897064,0.9086694],"category_scores_gemma":[0.2696466,0.00320873,0.006635695,0.01267097,0.001140254,0.004749458,0.002866078,0.002866544,0.1259928],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002939577,"about_ca_system_score_gemma":0.006245321,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00245514,"about_ca_topic_score_gemma":0.006957803,"domain_scores_codex":[0.9842482,0.00717183,0.004703412,0.001617154,0.0016563,0.0006030124],"domain_scores_gemma":[0.6179856,0.3490531,0.01656739,0.0071185,0.007762545,0.001512922],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.002738358,0.0002347591,0.001546568,0.3027591,0.002326875,0.00008965894,0.000169324,0.001506859,0.000134295,0.004747081,0.6435465,0.04020062],"study_design_scores_gemma":[0.1154015,0.001615111,0.01518391,0.148362,0.01098578,0.0008429482,0.0005238893,0.006254478,0.0009702366,0.06275599,0.6364786,0.0006253875],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0003543828,0.001398825,0.00307671,0.0005714104,0.0002853523,0.004601169,0.9855356,0.001149304,0.00302725],"genre_scores_gemma":[0.03542341,0.006951075,0.1100959,0.009633857,0.00148345,0.2133528,0.5743877,0.006106254,0.04256557],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.9817532,"threshold_uncertainty_score":0.130272,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.9141425953467399,"score_gpt":0.655190547230821,"score_spread":0.2589520481159189,"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."}}