{"id":"W6920945089","doi":"10.6084/m9.figshare.23632752","title":"Additional file 11 of Development of consensus-driven SPIRIT and CONSORT extensions for early phase dose-finding trials: the DEFINE study","year":2023,"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":"University of Toronto","funders":"","keywords":"Table (database); Delphi; Development (topology); Delphi method; Tree (set theory); Diagram","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001779272,0.0001379433,0.0007531847,0.00007560036,0.0001349621,0.00001564277,0.0001597544,0.00008498818,0.6139765],"category_scores_gemma":[0.5855545,0.00009638092,0.0001334666,0.0002289457,0.00005514266,0.00001537773,0.0001488276,0.0001074325,0.00009754591],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001228965,"about_ca_system_score_gemma":0.0002170748,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":8.354859e-7,"about_ca_topic_score_gemma":0.000007011021,"domain_scores_codex":[0.9974012,0.0005302853,0.001331579,0.0002428957,0.0003085673,0.0001854332],"domain_scores_gemma":[0.6728924,0.3259133,0.0006109829,0.0002245812,0.0002928643,0.00006591384],"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":[0.00009083401,0.0002666313,0.000008937091,0.0001923083,0.0001225374,0.000006149614,0.0002375862,5.114881e-7,0.00004036019,0.00036446,0.993931,0.004738684],"study_design_scores_gemma":[0.03663641,0.003843112,0.05851633,0.02029908,0.001266372,0.00003024199,0.004903695,0.002386045,0.004066035,0.3690736,0.4972911,0.001688023],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"methods","genre_scores_codex":[0.00693904,0.000007320407,0.00006392373,0.00006661832,0.00004725399,0.00169526,0.9910349,0.00004199448,0.0001036537],"genre_scores_gemma":[0.0144579,9.374332e-7,0.8625646,0.00006105858,0.0002303847,0.004529104,0.1176269,0.0000666828,0.0004623968],"genre_candidate":"dataset","genre_consensus":null,"teacher_disagreement_score":0.873408,"threshold_uncertainty_score":0.4179365,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.8328310564941064,"score_gpt":0.6025784693116346,"score_spread":0.2302525871824718,"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."}}