{"id":"W2052716780","doi":"10.1515/cclm.2010.291","title":"Development and description of GETT: a Genetic testing Evidence Tracking Tool","year":2010,"lang":"en","type":"article","venue":"Clinical Chemistry and Laboratory Medicine (CCLM)","topic":"BRCA gene mutations in cancer","field":"Biochemistry, Genetics and Molecular Biology","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University Health Centre; Centre hospitalier universitaire de Québec; Université Laval; Cégep de Chicoutimi; Fonds de Recherche du Québec - Santé","funders":"Canadian Institutes of Health Research; Health Canada; Health Research Foundation; Heart and Stroke Foundation of Canada","keywords":"Pace; Data science; Checklist; Process (computing); Genetic testing; Evidence-based medicine; Test (biology); Health care; Computer science; Management science; Medicine; Psychology; Pathology; Engineering; Alternative medicine; Biology","routes":{"ca_aff":true,"ca_fund":true,"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":[],"consensus_categories":[],"category_scores_codex":[0.1076968,0.002997437,0.003660653,0.02728328,0.002474899,0.009530689,0.004514762,0.00478755,0.03565511],"category_scores_gemma":[0.3187512,0.002084061,0.01242888,0.01938579,0.002091641,0.009517329,0.01057095,0.005921165,0.009063993],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00846428,"about_ca_system_score_gemma":0.031432,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004013631,"about_ca_topic_score_gemma":0.008650882,"domain_scores_codex":[0.9038778,0.03700032,0.04273286,0.003596399,0.01143381,0.001358827],"domain_scores_gemma":[0.6390698,0.2597326,0.02969772,0.01307769,0.05381861,0.004603525],"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":[0.001070146,0.0004157572,0.01365444,0.114013,0.002144968,0.001285607,0.01181183,0.006633522,0.001734877,0.02555438,0.2464256,0.5752559],"study_design_scores_gemma":[0.002478929,0.00103781,0.01449089,0.1253755,0.004234734,0.001910241,0.008615715,0.009810077,0.003375786,0.07814889,0.7496755,0.0008458658],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01712507,0.01248084,0.5225766,0.03214531,0.002914926,0.1615575,0.1818018,0.02273508,0.04666271],"genre_scores_gemma":[0.01678124,0.004310588,0.8229531,0.004994447,0.0002875877,0.1101161,0.03551655,0.00112158,0.003918744],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.1076968,"threshold_uncertainty_score":0.5695621,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0803697544352111,"score_gpt":0.3539708041597459,"score_spread":0.2736010497245348,"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."}}