{"id":"W4226226005","doi":"10.20517/rdodj.2022.01","title":"Enhancing the value of clinical networks for rare diseases","year":2022,"lang":"en","type":"article","venue":"Rare Disease and Orphan Drugs Journal","topic":"Genomics and Rare Diseases","field":"Biochemistry, Genetics and Molecular Biology","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Standards Association","funders":"","keywords":"Legitimacy; Health care; Knowledge management; Public relations; Diversity (politics); Best practice; Medicine; Political science; Computer science","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":[],"consensus_categories":[],"category_scores_codex":[0.0004707233,0.0001477673,0.0002162943,0.00003400702,0.0006742442,0.00005132467,0.0002868055,0.00004017197,0.00006944229],"category_scores_gemma":[0.0001881442,0.0001089266,0.0004228957,0.00006276161,0.0001028372,0.000006343096,0.0002492388,0.000159601,3.41281e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000009024033,"about_ca_system_score_gemma":0.0003473592,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002263898,"about_ca_topic_score_gemma":0.000001435378,"domain_scores_codex":[0.9986174,0.0002143772,0.0004674852,0.000263208,0.0001859713,0.000251535],"domain_scores_gemma":[0.9988953,0.000101682,0.000264076,0.0002535821,0.0001057238,0.0003795727],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.03571869,0.006186965,0.3802649,0.001275464,0.006436344,0.001227545,0.002272043,0.05611706,0.02344433,0.006782143,0.2937568,0.1865176],"study_design_scores_gemma":[0.01988024,0.004553303,0.3380168,0.0003690522,0.004838197,0.0009678956,0.01733512,0.01498212,0.00523399,0.0111818,0.5794904,0.00315106],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9707542,0.02581233,0.001557658,0.0003329865,0.0006951509,0.0002884762,0.000525407,0.000005607439,0.00002815338],"genre_scores_gemma":[0.996164,0.001221626,0.00007724707,0.0008302146,0.001202544,0.00004834923,0.0002159338,0.0000258754,0.0002141766],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2857335,"threshold_uncertainty_score":0.518581,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0097746278647512,"score_gpt":0.2818339027353585,"score_spread":0.2720592748706073,"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."}}