{"id":"W2110233930","doi":"10.1017/s0266462314000464","title":"GENERATING HEALTH TECHNOLOGY ASSESSMENT EVIDENCE FOR RARE DISEASES","year":2014,"lang":"en","type":"review","venue":"International Journal of Technology Assessment in Health Care","topic":"Genomics and Rare Diseases","field":"Biochemistry, Genetics and Molecular Biology","cited_by":43,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"","keywords":"Blinding; Clinical study design; Medicine; Randomization; Population; Intensive care medicine; Research design; Randomized controlled trial; Observational study; Rare disease; Disease; Clinical trial; Surgery; Pathology; 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":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0007363735,0.0004549675,0.001612364,0.001467708,0.0001714512,0.00006463327,0.001574347,0.0006246251,0.000009495204],"category_scores_gemma":[0.0004996536,0.0004047215,0.0006141497,0.0003016512,0.000127649,0.00001510855,0.0004300553,0.0007899629,0.000001156371],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001259528,"about_ca_system_score_gemma":0.006940593,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001250918,"about_ca_topic_score_gemma":0.00003969238,"domain_scores_codex":[0.9960776,0.000243866,0.002128798,0.0006136578,0.0004196002,0.0005164765],"domain_scores_gemma":[0.9951815,0.0001284365,0.00305575,0.0005084393,0.0009441779,0.0001817152],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00003795923,0.0001927316,0.001047858,0.006997012,0.0004628047,0.00006335884,0.00001797873,0.0001718849,0.00001627665,0.00187976,0.002283244,0.9868291],"study_design_scores_gemma":[0.000818209,0.001554655,0.00007722445,0.0144515,0.0001133626,0.0004803462,0.0008166549,0.00004139046,0.000006857056,0.0002583636,0.9810024,0.0003790424],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0003709002,0.9855561,0.004038175,0.006973925,0.001581156,0.00103789,0.0004057363,0.00002696534,0.000009164003],"genre_scores_gemma":[0.009559952,0.9721506,0.01577474,0.0006608622,0.0007689954,0.0002587859,0.0007350136,0.00007089557,0.00002020173],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9864501,"threshold_uncertainty_score":0.9998404,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03996068153935262,"score_gpt":0.4665832172585638,"score_spread":0.4266225357192112,"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."}}