{"id":"W2013919595","doi":"10.1007/s10689-013-9616-0","title":"The InSiGHT database: utilizing 100 years of insights into Lynch Syndrome","year":2013,"lang":"en","type":"article","venue":"Familial Cancer","topic":"Genetic factors in colorectal cancer","field":"Medicine","cited_by":125,"is_retracted":false,"has_abstract":false,"ca_institutions":"Memorial University of Newfoundland","funders":"","keywords":"Lynch syndrome; Database; MUTYH; Human genetics; Medicine; Gene; Bioinformatics; Genetics; Biology; Mutation; DNA mismatch repair; Computer science; Germline mutation; DNA repair","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":[],"consensus_categories":[],"category_scores_codex":[0.00145644,0.0006272347,0.0007828798,0.007895416,0.0002516972,0.002346977,0.0009486005,0.0009714461,0.01062423],"category_scores_gemma":[0.0242255,0.0003296319,0.0007062646,0.005896081,0.0002226321,0.001868594,0.002092244,0.0007406394,0.003610952],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005560552,"about_ca_system_score_gemma":0.001407161,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009141108,"about_ca_topic_score_gemma":0.01642114,"domain_scores_codex":[0.9989242,0.0002608628,0.0002930118,0.0001901798,0.0002583336,0.00007340961],"domain_scores_gemma":[0.9893282,0.006817711,0.001119868,0.001110574,0.0009814114,0.0006422867],"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":[0.002049955,0.000230055,0.1529453,0.006275495,0.001891774,0.001976378,0.001653134,0.004932038,0.002273963,0.009754013,0.4445505,0.3714674],"study_design_scores_gemma":[0.0003318673,0.0001271544,0.09078103,0.002860131,0.001490383,0.002573293,0.001194244,0.006638924,0.001874077,0.01153729,0.8804235,0.0001680671],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.05983267,0.02478556,0.01092627,0.004011413,0.0002671561,0.0002342118,0.8750272,0.006592022,0.01832347],"genre_scores_gemma":[0.1803934,0.02862823,0.03827788,0.002312652,0.0004015699,0.0004147278,0.7443104,0.001617538,0.003643434],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.01062423,"threshold_uncertainty_score":0.03554159,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02638758460027035,"score_gpt":0.2891909653628253,"score_spread":0.262803380762555,"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."}}