{"id":"W3083298312","doi":"10.1158/1538-7445.am2020-3211","title":"Abstract 3211: Evolution of the CIViC knowledgebase for community driven curation of clinical variants in cancer","year":2020,"lang":"en","type":"article","venue":"Cancer Research","topic":"Cancer Genomics and Diagnostics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"BC Cancer Agency","funders":"","keywords":"Data curation; Annotation; Interoperability; World Wide Web; Computer science; Digital curation; Bottleneck; Data science; Artificial intelligence","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":[0.02919984,0.00167541,0.00279556,0.01273042,0.00321993,0.0132091,0.008992913,0.005589877,0.02584899],"category_scores_gemma":[0.08973915,0.00209377,0.002686756,0.01092727,0.001881438,0.008803962,0.01305319,0.005152354,0.02984631],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004590868,"about_ca_system_score_gemma":0.01721037,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01982132,"about_ca_topic_score_gemma":0.02641324,"domain_scores_codex":[0.9868944,0.003778643,0.002624271,0.002703301,0.003587496,0.0004118969],"domain_scores_gemma":[0.9471059,0.01696017,0.002565965,0.01543572,0.01417301,0.00375923],"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":[0.000778527,0.0004761635,0.003915524,0.004659705,0.0004204955,0.001118659,0.002123888,0.0099469,0.006499988,0.03178619,0.7319035,0.2063704],"study_design_scores_gemma":[0.0003414663,0.0001133192,0.00258352,0.002378508,0.0002740733,0.0005055293,0.0005369023,0.02577526,0.004733034,0.02643224,0.9360766,0.0002495754],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"methods","genre_gemma":"other","genre_scores_codex":[0.01163645,0.004465875,0.4660449,0.01582426,0.003690385,0.005040535,0.2742865,0.1593916,0.05961938],"genre_scores_gemma":[0.01985173,0.002112423,0.4739225,0.004115161,0.0004962817,0.002285747,0.469843,0.01705595,0.01031725],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.02919984,"threshold_uncertainty_score":0.1544253,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1844279046232127,"score_gpt":0.4756389793139885,"score_spread":0.2912110746907757,"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."}}