{"id":"W6884615754","doi":"10.11575/prism/44815","title":"A checklist for clinical trials in rare disease: obstacles and anticipatory actions—lessons learned from the FOR-DMD trial","year":2018,"lang":"en","type":"other","venue":"University of Calgary","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Clinical trial; Checklist; Timeline; Regimen; Alternative medicine; Action (physics); Set (abstract data type)","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.003372718,0.0003007967,0.001374212,0.000264778,0.0001995603,0.00002733993,0.0005051744,0.0005752054,0.0008614659],"category_scores_gemma":[0.004694982,0.0002756275,0.0007373567,0.0001379942,0.0009751542,0.00008162264,0.0001721525,0.0002690195,0.00006476317],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009844288,"about_ca_system_score_gemma":0.0005447828,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001230259,"about_ca_topic_score_gemma":0.003447975,"domain_scores_codex":[0.9966406,0.001594136,0.0005713722,0.0006469273,0.0002571985,0.0002898227],"domain_scores_gemma":[0.9921464,0.005827908,0.001067796,0.0006336299,0.0001040726,0.00022017],"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":[0.07839141,0.0003512575,0.001380453,0.0001197422,0.0005972924,0.00001397399,0.0002192314,1.778749e-7,0.00002729578,0.0006750136,0.9107451,0.007478987],"study_design_scores_gemma":[0.05207198,0.0001999369,0.006786909,0.000399894,0.001257128,1.533315e-7,0.000579436,0.0001621316,0.000002674007,0.0006436344,0.937589,0.0003070853],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.2796056,0.03727414,0.02811396,0.01385025,0.01702296,0.1014425,0.223149,0.003133329,0.2964083],"genre_scores_gemma":[0.01051816,0.007622193,0.01213395,0.0003651225,0.006123886,0.00007640688,0.006757447,0.002229291,0.9541736],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.6577653,"threshold_uncertainty_score":0.9999696,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3302277137602552,"score_gpt":0.4332598178102564,"score_spread":0.1030321040500011,"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."}}