{"id":"W4387582178","doi":"10.1002/ajmg.a.63441","title":"Inspiring New Science to Guide Healthcare in Turner Syndrome: Rationale, design, and methods for the InsighTS Registry","year":2023,"lang":"en","type":"article","venue":"American Journal of Medical Genetics Part A","topic":"Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities","field":"Biochemistry, Genetics and Molecular Biology","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"CARE Canada","funders":"Eunice Kennedy Shriver National Institute of Child Health and Human Development; National Institute of Diabetes and Digestive and Kidney Diseases; Turner Syndrome Global Alliance","keywords":"Health care; Population; Population health; Stakeholder; Resource (disambiguation); Conceptualization; Medicine; Family medicine; Medical education; Public relations; Computer science; Environmental health; Political 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.2865476,0.001114077,0.0009885719,0.003969575,0.003983872,0.007404949,0.004853941,0.003301625,0.008084858],"category_scores_gemma":[0.2217812,0.001572291,0.001542664,0.003362585,0.005805908,0.005500876,0.009121804,0.006736849,0.003706015],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005344954,"about_ca_system_score_gemma":0.06215797,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002916937,"about_ca_topic_score_gemma":0.005569996,"domain_scores_codex":[0.7172847,0.2443922,0.0123737,0.005118484,0.0174315,0.003399303],"domain_scores_gemma":[0.7786548,0.1114062,0.01675005,0.03631483,0.04296504,0.01390903],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00331564,0.002927091,0.02919919,0.004377987,0.0002629259,0.001154504,0.02371102,0.003738785,0.002576353,0.4051323,0.1289017,0.3947026],"study_design_scores_gemma":[0.004488551,0.004257421,0.01306805,0.009038619,0.0005235907,0.001320423,0.01492729,0.009354729,0.008245841,0.0817344,0.8525726,0.0004684116],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"protocol","genre_scores_codex":[0.02755255,0.00202372,0.4681852,0.08020814,0.003393795,0.3766761,0.005592252,0.001131811,0.03523651],"genre_scores_gemma":[0.03084648,0.0007880809,0.699279,0.01049959,0.0005788632,0.2531469,0.001109721,0.0002017053,0.003549716],"genre_candidate":"protocol","genre_consensus":null,"teacher_disagreement_score":0.2865476,"threshold_uncertainty_score":0.8798138,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03644647807912263,"score_gpt":0.3951456775370547,"score_spread":0.358699199457932,"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."}}